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Showing content from https://developers.arcgis.com/javascript/latest/api-reference/esri-symbols-CIMSymbol.html below:

CIMSymbol | API Reference | ArcGIS Maps SDK for JavaScript 4.33

ESM: import CIMSymbol from "@arcgis/core/symbols/CIMSymbol.js";

CDN: const CIMSymbol = await $arcgis.import("@arcgis/core/symbols/CIMSymbol.js");

Class: @arcgis/core/symbols/CIMSymbol

Since: ArcGIS Maps SDK for JavaScript 4.12

CIMSymbols are high quality, scalable, multi-layer vector symbols for features and graphics. They allow the user to add more customizations to their symbols, using one or more symbol layers to create unique symbols. CIMSymbols can be created from CIMSymbolReference JSON that complies with the CIM specification by passing the JSON to the data property. Not everything in the CIM specification is currently supported in the ArcGIS Maps SDK for JavaScript. The documentation on this page details the current support in the API.

Symbol and symbol layer types

The symbol property in the CIMSymbolReference can be of type CIMPointSymbol, CIMLineSymbol, or CIMPolygonSymbol. Each symbol is made up of one or more symbolLayers. Symbol layers are the building blocks of CIM symbols, they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer, and combine multiple symbol layers to create your desired symbol. The Symbol Builder provides a simple user interface to experiment with symbol layers and their properties.

All CIMSymbols have at least one symbol layer, but can have more, as outlined in the following table:

Symbol type Typical symbol layers Role CIMPointSymbol Marker layers: CIMVectorMarker, CIMPictureMarker Draw relative to the point geometry CIMLineSymbol Marker layers: CIMVectorMarker, CIMPictureMarker Draw at specified locations relative to the line geometry. Stroke layers: CIMSolidStroke, CIMPictureStroke, CIMGradientStroke Draw relative to the line geometry. CIMPolygonSymbol Marker layers: CIMVectorMarker, CIMPictureMarker Draw relative to the polygon outline or within the polygon interior, depending on the marker placement setting. Stroke layers: CIMSolidStroke, CIMPictureStroke, CIMGradientStroke Draw relative to the polygon outline. Fill layers: CIMSolidFill, CIMHatchFill, CIMPictureFill, CIMGradientFill Draw relative to the polygon interior. Primitive overrides

Primitive overrides allow you to use Arcade expressions to dynamically change many symbol layer properties from attribute values in your data. Primitive overrides are defined on the primitiveOverrides property in the CIMSymbolReference - this property takes in an array of objects, each object representing a primitive override on a specific symbol layer.

Below is an example of a CIMSymbol with a primitive override that changes the color of a symbol layer based on the value of the DailyTraffic attribute on each feature.

const symbol = new CIMSymbol({
 data: {
  type: "CIMSymbolReference",
  primitiveOverrides: [{
    type: "CIMPrimitiveOverride",
    // primitiveName matches the primitiveName on the symbol layer
    primitiveName: "symbol-layer-1",
    propertyName: "Color", // property to be overridden
    valueExpressionInfo: {
      type: "CIMExpressionInfo",
      // colors the symbol layer red if the DailyTraffic is greater than 10,000, orange otherwise
      expression: `IIF($feature.DailyTraffic > 10000, "rgba(255,0,0,1)", "rgba(255,165,0,1)")`,
      returnType: "Default"
    }
  }],
  symbol: {
    type: "CIMLineSymbol",
    symbolLayers: [
     {
       type: "CIMSolidStroke",
       // primitiveName matches the primitiveName on the primitive override
       primitiveName: "symbol-layer-1",
       enable: true,
       // the property to be overridden
       color: [0, 0, 0, 255],
       width: 2
     },
     // other symbol layers
   ]
  }
 }
});

See Primitive overrides for more information.

Animations

Since 4.31

Symbol animations can be used to highlight freshness of data or draw attention to specific features. In CIMSymbol, animations can be defined on the symbol level (global animations) or on the symbol layer level. Global animations are applied to the entire symbol, while symbol layer animations are applied to a specific symbol layer in the symbol. Similar to other symbol properties, animation properties can be overridden based on attribute values using primitive overrides.

The following animation types are supported:

Global animations

Global animations are currently only supported on CIMPointSymbols. They are defined on the animations property of the CIMPointSymbol and are applied to the entire symbol.

const symbol = new CIMSymbol({
 data: {
  type: "CIMSymbolReference",
  symbol: {
    type: "CIMPointSymbol",
    animations: [{ ... }], // global animation applied to the entire symbol
    symbolLayers: [{ ... }],
  }
 }
});

Symbol layer animations

Symbol layer animations are defined on the animations property of the symbol layer and only apply to a specific symbol layer in the symbol. All symbol layer animations are supported on CIMVectorMarker and CIMPictureMarker symbol layers. Color and transparency animations are also supported on CIMSolidFill and CIMSolidStroke symbol layers.

const symbol = new CIMSymbol({
 data: {
  type: "CIMSymbolReference",
  symbol: {
    type: "CIMPointSymbol",
    symbolLayers: [{
     type: "CIMVectorMarker",
     enable: true,
     animations: [{ ... }], // animation applied to this symbol layer
     // other props for the symbol layer
    }]
  }
 }
});

Known Limitations for CIMSymbol animations

Animations are not currently supported in 3D SceneView.
Animated symbols are not currently supported in the Legend widget.
Global animations are currently only supported on CIMPointSymbols.
Symbol layer animations are not fully supported within a CIMLineSymbol or CIMPolygonSymbol. If you use an animated marker within a line or polygon symbol, the marker placement will not be properly honored at this time. We will improve this behavior at a future release.

Utility functions for working with CIMSymbol

To get or set the values for color, rotation, and size on the CIMSymbol, use the utility functions found in cimSymbolUtils.

The symbolService can be used to create a CIMSymbol from SVG.

See also

Constructors

CIMSymbol Constructor new CIMSymbol(properties)

Parameter

optional

See the properties for a list of all the properties that may be passed into the constructor.

Property Overview Any properties can be set, retrieved or listened to. See the Watch for changes topic.

Show inherited properties Hide inherited properties

Property Details

The JSON payload of the CIMSymbolReference. The CIMSymbolReference is comprised of the symbol, primitive overrides, and scale.

Symbol: The symbol property can be of type CIMPointSymbol, CIMLineSymbol, or CIMPolygonSymbol. Each symbol is made up of one or more symbolLayers. Symbol layers are the building blocks of CIM symbols, they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer, and combine multiple symbol layers to create your desired symbol. The Symbol Builder provides a simple user interface to experiment with symbol layers and their properties.

Primitive overrides: Primitive overrides allow you to use Arcade expressions to dynamically change many symbol layer properties from data values. Primitive overrides are defined on the primitiveOverrides property - this property takes in an array of objects, each object representing a primitive override on a specific symbol layer.

Minimum and maximum scale: (Since version 4.20) The minScale and maxScale values will determine the scale values at which your symbol will be visible in the view. To show your symbol at all scales, these properties can either be ignored or set to 0.

Example

const cimSymbol = new CIMSymbol({
  data: {
    type: "CIMSymbolReference",
    minScale: 750000, // only allow the symbol to be shown at certain scales
    maxScale: 80000,
    symbol: {
      type: "CIMLineSymbol",
      symbolLayers: [{ ... }]
    },
    primitiveOverrides: [{
      type: "CIMPrimitiveOverride",
      primitiveName: "symbol-layer-1", // the name of the symbol layer we want to override
      propertyName: "Size", // the name of the property on the symbol layer we want to override
      valueExpressionInfo: {
        type: "CIMExpressionInfo",
        title: "Size override",
        expression: "..." // the expression to change the size of the symbol
      }
    }]
  }
});

declaredClass Inherited Property declaredClass Stringreadonly: The name of the class. The declared class name is formatted as esri.folder.className.

type Property type Stringreadonly

The symbol type.

For CIMSymbol the type is always "cim".

Method Overview

Show inherited methods Hide inherited methods

Method Details

addHandles Inherited Method addHandles(handleOrHandles, groupKey) Since: ArcGIS Maps SDK for JavaScript 4.25 Accessor since 4.0, addHandles added at 4.25.

Adds one or more handles which are to be tied to the lifecycle of the object. The handles will be removed when the object is destroyed.

// Manually manage handles
const handle = reactiveUtils.when(
  () => !view.updating,
  () => {
    wkidSelect.disabled = false;
  },
  { once: true }
);

this.addHandles(handle);

// Destroy the object
this.destroy();

Parameters

Handles marked for removal once the object is destroyed.

groupKey *

optional

Key identifying the group to which the handles should be added. All the handles in the group can later be removed with Accessor.removeHandles(). If no key is provided the handles are added to a default group.

Creates a deep clone of the symbol.

Returns

Type Description CIMSymbol A deep clone of the object that invoked this method.

Example

// Creates a deep clone of the graphic's symbol
let symLyr = graphic.symbol.clone();

fromJSON Inherited Method fromJSON(json){* |null |undefined}static

Creates a new instance of this class and initializes it with values from a JSON object generated from an ArcGIS product. The object passed into the input json parameter often comes from a response to a query operation in the REST API or a toJSON() method from another ArcGIS product. See the Using fromJSON() topic in the Guide for details and examples of when and how to use this function.

Returns

Type Description * | null | undefined Returns a new instance of this class.

hasHandles Inherited Method hasHandles(groupKey){Boolean} Since: ArcGIS Maps SDK for JavaScript 4.25 Accessor since 4.0, hasHandles added at 4.25.

Returns true if a named group of handles exist.

Parameter

groupKey *

optional

A group key.

Returns

Type Description Boolean Returns true if a named group of handles exist.

Example

// Remove a named group of handles if they exist.
if (obj.hasHandles("watch-view-updates")) {
  obj.removeHandles("watch-view-updates");
}

removeHandles Inherited Method removeHandles(groupKey) Since: ArcGIS Maps SDK for JavaScript 4.25 Accessor since 4.0, removeHandles added at 4.25.

Removes a group of handles owned by the object.

Parameter

groupKey *

optional

A group key or an array or collection of group keys to remove.

Example

obj.removeHandles(); // removes handles from default group

obj.removeHandles("handle-group");
obj.removeHandles("other-handle-group");

Type Definitions

CIMAnimatedSymbolProperties Type Definition CIMAnimatedSymbolProperties Object Since: ArcGIS Maps SDK for JavaScript 4.24 CIMSymbol since 4.12, CIMAnimatedSymbolProperties added at 4.24.

Represents animated symbol properties, a collection of symbol properties that apply when the symbol layer has animation data.

Properties

optional

Indicates whether the animated symbol should play its animation.

optional

Indicates whether the animated symbol should play back in reverse.

optional

Indicates whether to generate a randomized start offset in seconds to apply to the symbol animation of each feature.

optional

The starting value for generating a random number. Used by the randomizeStartTime property to determine the time offset for each feature.

optional

The time offset in seconds to use as the starting point of the symbol animation. This is used if randomizeStartTime is false.

optional

The time (in seconds) it take to play through the symbol's animation once. This determines a symbol's playback speed.

optional

Determines how to repeat the animation of a symbol when the animation cycle ends.

Possible Values:"None"|"Loop"|"Oscillate"

optional

The number of seconds to delay before repeating an animation cycle.

optional

Since 4.31 The easing method to use when animating the symbol. Only for use with CIMSymbolAnimation, not animated GIFs/PNGs.

Possible Values:"Linear"|"EaseIn"|"EaseOut"|"EaseInOut"

See also

CIMBackgroundCallout Type Definition CIMBackgroundCallout Object Since: ArcGIS Maps SDK for JavaScript 4.26 CIMSymbol since 4.12, CIMBackgroundCallout added at 4.26.

Represents a background callout for a CIMTextSymbol.

Properties

The callout type.

The value is always "CIMBackgroundCallout".

The symbol used to draw the background. Currently, only CIMSolidStroke and CIMSolidFill symbol layers without geometric effects are supported within this symbol.

See also

CIMTextSymbol.callout

Since: ArcGIS Maps SDK for JavaScript 4.32 CIMSymbol since 4.12, CIMColorRamp added at 4.32.: Represents a color ramp.

CIMColorSubstitution Type Definition CIMColorSubstitution Object

Represents color substitution, an ordered list of color substitutes.

"colorSubstitutions": [
   {
      // replace all white in the image with black
      oldColor: [255, 255, 255, 255],
      newColor: [0, 0, 0, 255]
   }
]

Properties

The old color (the color that will be substituted). Value should be an array of r,b,g,a values (i.e. [255,255,255,255]).

The new color that will replace the old color. Value should be an array of r,b,g,a values (i.e. [255,255,255,255]).

See also

CIMFixedColorRamp Type Definition CIMFixedColorRamp Object Since: ArcGIS Maps SDK for JavaScript 4.32 CIMSymbol since 4.12, CIMFixedColorRamp added at 4.32.

Represents a color scheme composed of discrete colors.

colorRamp: {
  type: "CIMFixedColorRamp",
  colors: [
    [166, 38, 57, 255],
    [71, 121, 152, 255],
    [255, 196, 130, 255],
    [196, 144, 209, 255],
    [182, 238, 166, 255]
  ]
}

Properties

The value is always "CIMFixedColorRamp".

The ordered list of colors in the color scheme, with each color represented as an array of rbga values ([255,255,255,255]). The colors are applied in the order they are defined.

: Represents a geometric effect.

CIMGeometricEffectAddControlPoints Type Definition CIMGeometricEffectAddControlPoints Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectAddControlPoints added at 4.16.

Represents the add control points geometric effect. Dynamically adds geometry control points to a feature to dictate the placement of markers or other effect properties that leverage control points. Control points are placed at angles or deflection based on the angleTolerance value.

{
  "type": "CIMGeometricEffectAddControlPoints",
  "angleTolerance": 90
}

Properties

The value is always "CIMGeometricEffectAddControlPoints".

optional

The primitive name.

optional

Default Value:120

The value below which a control point will be placed. The maximum amount of deflection from one segment to another at a vertex. Angle values between 180 and 360 are interpreted the same as values between 0 and 180. Angle values of 180 and 360 are the same as 0.

See also

CIMGeometricEffect

CIMGeometricEffectArrow Type Definition CIMGeometricEffectArrow Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectArrow added at 4.16.

Represents the arrow geometric effect which creates a dynamic line along a line feature with an arrow of a specified arrow type and width.

{
   "type": "CIMGeometricEffectArrow",
   "geometricEffectArrowType": "Crossed",
   "width": 15
}

The following image shows what the effect defined in the code snippet above looks like on a CIMSolidStroke symbol layer.

Properties

The value is always "CIMGeometricEffectArrow".

optional

The primitive name.

geometricEffectArrowType String

The type of arrow to be displayed.

Possible Values:"OpenEnded"|"Block"|"Crossed"

The distance between the lines that construct the body of the arrow.

See also

CIMGeometricEffect

CIMGeometricEffectBuffer Type Definition CIMGeometricEffectBuffer Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectBuffer added at 4.16.

Represents the buffer geometric effect which creates a dynamic polygon with a specified distance around features.

{
   "type": "CIMGeometricEffectBuffer",
   "size": 5
}

The following image shows what the effect defined in the code snippet above looks like on a CIMSolidStroke symbol layer.

Properties

The value is always "CIMGeometricEffectBuffer".

optional

The primitive name.

The distance from the feature in points. This distance is either from the edge of the marker, the edge of the stroke or the edge of the polygon outline.

See also

CIMGeometricEffect

CIMGeometricEffectControlMeasureLine Type Definition CIMGeometricEffectControlMeasureLine Object Since: ArcGIS Maps SDK for JavaScript 4.22 CIMSymbol since 4.12, CIMGeometricEffectControlMeasureLine added at 4.22.: Represents the control measure line geometric effect.

CIMGeometricEffectCut Type Definition CIMGeometricEffectCut Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectCut added at 4.16.

Represents the cut geometric effect which creates a dynamic line that is shorter on one or both ends than the line feature or polygon outline.

{
   "type": "CIMGeometricEffectCut",
   "beginCut": 10, // cut 10px from the beginning of the line
   "middleCut": 15, // cut 15px from the middle of the line
   "endCut": 0 // don't cut the end of the line
}

The following image shows what the effect defined in the code snippet above looks like on a CIMSolidStroke symbol layer.

Properties

The value is always "CIMGeometricEffectCut".

optional

The primitive name.

optional

Default Value:1

The distance from the beginning of a line that the display of the stroke starts. The beginning of the line is determined by the direction in which the line was digitized.

optional

Default Value:1

The distance from the end of a line that the display of the stroke ends. The end of the line is determined by the direction in which the line was digitized.

optional

Default Value:0

The distance around the middle of a line that the display of the stroke is interrupted.

optional

Default Value:false

A value indicating whether the effect should be applied in the opposite manner. This displays the stroke symbol only at the ends of the line and leaves the rest of the line unsymbolized.

See also

CIMGeometricEffect

CIMGeometricEffectDashes Type Definition CIMGeometricEffectDashes Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectDashes added at 4.16.

Represents the dashes geometric effect which creates a dynamic multipart line geometry from a line feature or the outline of a polygon based on a template.

{
   "type": "CIMGeometricEffectDashes",
   "dashTemplate": [5,5,1,5], // [dash, gap, dash, gap]
   "lineDashEnding": "NoConstraint",
   "offsetAlongLine": 0
}

The following image shows what the effect defined in the code snippet above looks like on a CIMSolidStroke symbol layer.

Properties

The value is always "CIMGeometricEffectDashes".

optional

The primitive name.

optional

Default Value:0

Where the pattern should end relative to the ending point of the geometry. Negative numbers indicate a shift to the left and positive numbers a shift to the right. This property is only applied if the lineDashEnding is set to "Custom".

The distance for each dash and gap. There can be multiple dash and gap values to form a complex pattern (i.e. [2,5] where 2 is the length of the dash and 5 is the length of the gap).

optional

Default Value:"NoConstraint"

The setting which determines how the strokes with dash patterns are handled at the end points of the line geometry's segments.

optional

Default Value:0

The position where the pattern should begin relative to the starting point of the geometry. It shifts the entire pattern along the line the specified distance. Negative values indicate a shift to the left and positive numbers a shift to the right. This property is only applied if lineDashEnding is set to NoConstraint or Custom.

See also

CIMGeometricEffect

CIMGeometricEffectDonut Type Definition CIMGeometricEffectDonut Object Since: ArcGIS Maps SDK for JavaScript 4.26 CIMSymbol since 4.12, CIMGeometricEffectDonut added at 4.26.

Represents the donut geometric effect which creates a dynamic polygon ring of a specified width in relation to the outline of polygon features.

Properties

The value is always "CIMGeometricEffectDonut".

optional

The primitive name.

optional

Default Value:"Accurate"

The option for the way the symbol handles complex geometries.

Possible Values:"Fast"|"Accurate"

The distance from the edge of the polygon that the fill symbol is to be displayed.

See also

CIMGeometricEffect

CIMGeometricEffectEnclosingPolygon Type Definition CIMGeometricEffectEnclosingPolygon Object Since: ArcGIS Maps SDK for JavaScript 4.33 CIMSymbol since 4.12, CIMGeometricEffectEnclosingPolygon added at 4.33.

Represents the enclosing polygon geometric effect which creates a dynamic polygon from the spatial extent of a line or polygon.

{
  "type": "CIMGeometricEffectEnclosingPolygon",
  "method": "ConvexHull"
}

Properties

The value is always "CIMGeometricEffectEnclosingPolygon".

optional

The primitive name.

The method which speccifies the way in which the polygon geometry is generated around the feature geometry.

Possible Values:"ClosePath"|"ConvexHull"|"RectangularBox"

See also

CIMGeometricEffect

CIMGeometricEffectJog Type Definition CIMGeometricEffectJog Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectJog added at 4.16.

Represents the jog geometric effect which creates a dynamic line with a jog of a specified angle, position, and width in the line.

{
   "type": "CIMGeometricEffectJog",
   "angle": 225,
   "length": 20,
   "position": 50
}

The image below shows a CIMSolidStroke symbol layer with the CIMGeometricEffectJog effect applied as defined in the snippet above.

Properties

The value is always "CIMGeometricEffectJog".

optional

The primitive name.

The angle of the job in the line which is measured in degrees.

The length of the segment that forms the jog in the line.

The location of the center of the jog, as a percentage measured from the start of the input geometry.

See also

CIMGeometricEffect

CIMGeometricEffectMove Type Definition CIMGeometricEffectMove Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectMove added at 4.16.

Represents the move geometric effect which creates a point, line or polygon that is offset a specified distance in X and Y.

{
  "type": "CIMGeometricEffectMove",
  "offsetX": 10,
  "offsetY": -5
}

Properties

The value is always "CIMGeometricEffectMove".

optional

The primitive name.

optional

Default Value:1

The distance in points to move the symbol along the X-axis of the feature geometry.

optional

Default Value:-1

The distance in points to move the symbol along the Y-axis of the feature geometry.

See also

CIMGeometricEffect

CIMGeometricEffectOffset Type Definition CIMGeometricEffectOffset Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectOffset added at 4.16.

Represents the offset geometric effect which creates a dynamic line or polygon offset at a specified distance perpendicularly from a feature.

{
   "type": "CIMGeometricEffectOffset",
   "offset": 5,
   "method": "Rounded",
   "option": "Fast"
}

Properties

The value is always "CIMGeometricEffectOffset".

optional

The primitive name.

optional

Default Value:"Square"

The way strokes or fills are displayed at corners.

Possible Values:"Mitered"|"Bevelled"|"Rounded"|"Square"

The distance in points of the symbol perpendicular to the feature geometry.

optional

Default Value:"Fast"

The way the symbol handles complex geometries.

Possible Values:"Fast"|"Accurate"

See also

CIMGeometricEffect

CIMGeometricEffectRadial Type Definition CIMGeometricEffectRadial Object Since: ArcGIS Maps SDK for JavaScript 4.33 CIMSymbol since 4.12, CIMGeometricEffectRadial added at 4.33.

Represents the radial geometric effect which creates a dynamic line of a sepcified length and angle originating from a point feature.

{
  "type": "CIMGeometricEffectRadial",
  "angle": 90,
  "length": 10
}

Properties

The value is always "CIMGeometricEffectRadial".

optional

The primitive name.

optional

Default Value:0

The orientation of the line from the marker. The angle is calculated in a counter-clockwise manner with 0 degrees equal to due east.

optional

Default Value:5

The length of the radial line.

See also

CIMGeometricEffect

CIMGeometricEffectRotate Type Definition CIMGeometricEffectRotate Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectRotate added at 4.16.

Represents the rotate geometric effect which creates a dynamic line or polygon rotated a specified angle from the feature.

{
   // rotates the symbol 90 degrees from the symbol's geometry
   "type": "CIMGeometricEffectRotate",
   "angle": 90
}

Properties

The value is always "CIMGeometricEffectRotate".

optional

The primitive name.

The amount of rotation for the symbol.

See also

CIMGeometricEffect

CIMGeometricEffectScale Type Definition CIMGeometricEffectScale Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectScale added at 4.16.

Represents the scale geometric effect which creates a dynamic line or polygon scaled by a specified factor. Vertices are moved in relation to the center point of a feature envelope. Values greater than 1 move vertices away from the center point. Values between 0 and 1 move vertices toward the center point. Values less than 0 draw an inverse dynamic line or polygon where the vertices have crossed to the other side of the center point.

{
   "type": "CIMGeometricEffectScale",
   "xScaleFactor": 1.5,
   "yScaleFactor": 1.5
}

Properties

The value is always "CIMGeometricEffectScale".

optional

The primitive name.

optional

Default Value:1.15

The amount of change in size of a symbol in the x-axis. The value is expressed in terms of a ratio/percentage.

optional

Default Value:1.15

The amount of change in size of a symbol in the y-axis. The value is expressed in terms of a ratio/percentage.

See also

CIMGeometricEffect

CIMGeometricEffectSuppress Type Definition CIMGeometricEffectSuppress Object Since: ArcGIS Maps SDK for JavaScript 4.33 CIMSymbol since 4.12, CIMGeometricEffectSuppress added at 4.33.

Represents the suppress geometric effect which creates a dynamic line that hides sections of a stroke between pairs control points.

Properties

The value is always "CIMGeometricEffectSuppress".

optional

The primitive name.

optional

Default Value:false

A value indicating whether the portion of the stroke symbol between control points should be suppressed. Sections that are suppressed draw with no symbol.

optional

Default Value:false

A value indicating whether to invert the suppression process. If this value is true, portions of the stroke symbol between the control points are kept and all other portions are suppressed.

See also

CIMGeometricEffect

CIMGeometricEffectTaperedPolygon Type Definition CIMGeometricEffectTaperedPolygon Object Since: ArcGIS Maps SDK for JavaScript 4.33 CIMSymbol since 4.12, CIMGeometricEffectTaperedPolygon added at 4.33.

Represents the tapered polygon geometric effect which creates a dynamic polygon along a line feature, whose width varies by two specified amounts along its length, as defined by a percentage of the line feature's length.

Properties

The value is always "CIMGeometricEffectTaperedPolygon".

optional

The primitive name.

optional

Default Value:0

The width at the start of the line to be used to generate the polygon.

optional

Default Value:1

The width at the end of the line to be used to generate the polygon.

optional

Default Value:0

The distance along the line to be used to generate the polygon.

See also

CIMGeometricEffect

CIMGeometricEffectWave Type Definition CIMGeometricEffectWave Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMGeometricEffectWave added at 4.16.

Represents the wave geometric effect which creates a dynamic line or polygon along a feature with a repeating wave pattern.

{
   "type": "CIMGeometricEffectWave",
   "amplitude": 5,
   "period": 5,
   "waveform": "Square"
}

The image below shows a CIMSolidStroke symbol layer with the CIMGeometricEffectWave effect applied as defined in the snippet above.

Properties

The value is always "CIMGeometricEffectWave".

optional

The primitive name.

optional

Default Value:2

The distance perpendicular to a feature to display the curves for the symbol.

optional

Default Value:3

The distance along the line or polygon to display the curves for the symbol.

optional

Default Value:1

The starting value for generating a random number. This is only used when the waveform is set to "Random".

optional

Default Value:"Sinus"

The shape of the curves to be displayed along the symbol.

Possible Values:"Sinus"|"Square"|"Triangle"|"Random"

See also

CIMGeometricEffect

CIMGradientFill Type Definition CIMGradientFill Object Since: ArcGIS Maps SDK for JavaScript 4.32 CIMSymbol since 4.12, CIMGradientFill added at 4.32.

Represents a gradient fill which fills polygonal geometry with a specified color scheme.

{
  type: "CIMGradientFill",
  enable: true,
  gradientMethod: "Circular",
  gradientSize: 70,
  gradientSizeUnits: "Relative",
  gradientType: "Continuous",
  colorRamp: {
    type: "CIMMultipartColorRamp",
    colorRamps: [
      {
        type: "CIMLinearContinuousColorRamp",
        fromColor: [0, 76, 115, 255],
        toColor: [0, 132, 168, 255]
      },
      {
        type: "CIMLinearContinuousColorRamp",
        fromColor: [0, 132, 168, 255],
        toColor: [255, 255, 255, 255]
      }
    ],
    weights: [0.3, 0.7]
  }
}

Properties

The value is always "CIMGradientFill".

A value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.

optional

The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.

optional

Default Value:false

A value indicating whether the color can be changed for this symbol layer. If the symbol layer is colorLocked, then any changes to the symbol's color property will not be applied to this symbol layer.

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

optional

Default Value:90

The angle of the gradient when the GradientMethod is set to "Linear" or "Rectangular".

The color ramp that is applied to the gradient fill.

optional

Default Value:"Linear"

The method used to specify how the gradient is applied within the fill.

Possible Values:"Linear"|"Rectangular"|"Circular"

optional

Default Value:75

The size which determines the how much of the feature is covered by the color scheme. This is either a percentage of the total area which the color scheme spans (if units are "Relative") or the number of points from the starting point at which the gradient displays (if units are "Absolute").

optional

Default Value:"Relative"

The units which determine if the gradientSize is applied with an absolute distance or a relative percentage.

Possible Values:"Relative"|"Absolute"

optional

Default Value:"Discrete"

The type which specifies if the gradient is applied with discrete intervals or if it is continuous.

Possible Values:"Discrete"|"Continuous"

optional

Default Value:5

The interval which specifies the number of discrete intervals in the gradient. This property is only applied when the gradientType is set to "Discrete".

CIMGradientStroke Type Definition CIMGradientStroke Object Since: ArcGIS Maps SDK for JavaScript 4.32 CIMSymbol since 4.12, CIMGradientStroke added at 4.32.

Represents a gradient stroke which draws linear geometry with a specified color scheme.

{
  type: "CIMGradientStroke",
  enable: true,
  gradientMethod: "AcrossLine",
  gradientSize: 100,
  gradientSizeUnits: "Relative",
  gradientType: "Continuous",
  capStyle: "Round",
  joinStyle: "Round",
  miterLimit: 4,
  width: 12,
  colorRamp: {
    type: "CIMMultipartColorRamp",
    colorRamps: [
      {
        type: "CIMLinearContinuousColorRamp",
        fromColor: [255, 255, 255, 255], // white
        toColor: [190, 232, 255, 255] // light blue
      }
    ],
    weights: [1]
  }
}

Properties

The value is always "CIMGradientStroke".

A value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.

optional

The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.

optional

Default Value:false

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

optional

Default Value:"Round"

Determines how the stroke should draw at the ends of the geometries.

Possible Values:"Butt"|"Round"|"Square"

optional

Default Value:"Round"

Determines how the symbol is drawn at the stroke segment connections.

Possible Values:"Bevel"|"Round"|"Miter"

optional

Default Value:4

The maximum 'sharpness' that is allowed for miter joins. The sharp angle will be clipped and rendered with a bevel join if the spike created by the miter join exceeds the miterLimit multiplied by the width of the stroke. This property is only applied to the symbol layer when the joinStyle is set to Miter.

The width of the stroke.

The color ramp that is applied to the gradient stroke.

The method used to specify how the gradient is applied along the stroke.

Possible Values:"AcrossLine"|"AlongLine"

optional

Default Value:75

optional

Default Value:"Relative"

The units which determine if the gradientSize is applied with an absolute distance or a relative percentage.

Possible Values:"Relative"|"Absolute"

optional

Default Value:"Discrete"

The type which specifies if the gradient is applied with discrete intervals or if it is continuous.

Possible Values:"Discrete"|"Continuous"

optional

Default Value:5

The interval which specifies the number of discrete intervals in the gradient. This property is only applied when the gradientType is set to "Discrete".

CIMHatchFill Type Definition CIMHatchFill Object

Represents a hatch fill which fills polygonal geometry with a uniform series of parallel line symbols.

{
  "type": "CIMHatchFill",
  "enable": true,
  "lineSymbol": {
     "type": "CIMLineSymbol",
     "symbolLayers": [{
        "type": "CIMSolidStroke",
        "enable": true,
        "capStyle": "Butt",
        "joinStyle": "Miter",
        "miterLimit": 10,
        "width": 1,
        "color": [255, 61, 61, 255]
     }]
  },
  "rotation": 45,
  "separation": 5
}

The following image shows a CIMPolygonSymbol with a CIMHatchFill symbol layer (as defined in the code snippet above).

Properties

The value is always "CIMHatchFill".

optional

The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.

A value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.

optional

Default Value:false

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

The line symbol that is used to draw the hatch lines in the fill.

optional

Default Value:0

How much to move the stroke in points to a new X-position.

optional

Default Value:0

How much to move the stroke in points to a new Y-position.

optional

Default Value:0

The angle of rotation for all the strokes, in degrees.

The distance between the line symbols in the hatch pattern.

See also

CIMSymbolLayer

CIMLineSymbol Type Definition CIMLineSymbol Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMLineSymbol added at 4.16.

Represents a line symbol used to draw polyline features and graphics.

The code snippet below shows an example of a CIMLineSymbol with one CIMSolidStroke symbol layer with a dash effect on top of another CIMSolidStroke layer as shown below.

const lineSymbol = new CIMSymbol({
  data: {
    type: "CIMSymbolReference",
    symbol: {
       type: "CIMLineSymbol",
       symbolLayers: [{
         type: "CIMSolidStroke",
         effects: [{
           type: "CIMGeometricEffectDashes",
           dashTemplate: [5, 5],
           lineDashEnding: "FullGap",
           controlPointEnding: "NoConstraint"
         }],
         enable: "true",
         capStyle: "Butt",
         joinStyle: "Round",
         width: 2.6,
         color: [255, 255, 255, 255]
       },
       {
         type: "CIMSolidStroke",
         enable: true,
         capStyle: "Butt",
         joinStyle: "Round",
         width: 3.4,
         color: [0, 0, 0, 255]
       }]
    }
  }
});

CIMLineSymbol is not currently supported in 3D SceneViews.

Properties

The value is always "CIMLineSymbol".

The symbol layers. Symbol layers are the components that make up a symbol. A symbol layer is represented by a marker, stroke, or fill symbol layer. Symbol layers are the building blocks of CIM symbols, they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer, and combine multiple symbol layers to create your desired symbol. The symbol layers are typically displayed in the order they are defined, so the first symbol layer will be displayed on top, and the last symbol layer will be displayed on bottom. There are some limitations to this when working with FeatureLayers - see CIMSymbolLayer for more information.

optional

The geometric effects applied to the symbol.

optional

A value indicating whether the symbol size properties are rendered using real world units or page units. When set to true, the symbol will draw using real world units (e.g. meters).

See also

CIMLinearContinuousColorRamp Type Definition CIMLinearContinuousColorRamp Object Since: ArcGIS Maps SDK for JavaScript 4.32 CIMSymbol since 4.12, CIMLinearContinuousColorRamp added at 4.32.

Represents a linear continuous color ramp scheme - a color ramp that has a linear transition between two colors. This ramp is created using the CIELAB algorithm which blends two colors without traversing the intervening hue space.

colorRamp: {
  type: "CIMMultipartColorRamp",
  colorRamps: [
    {
      type: "CIMLinearContinuousColorRamp",
      fromColor: [255, 255, 255, 255], // white
      toColor: [190, 232, 255, 255] // light blue
    }
  ],
  weights: [1]
}

Properties

The value is always "CIMLinearContinuousColorRamp".

The color at the start of the ramp. The color is defined as an array of RGBA values ([255,255,255,255]).

The color at the end of the ramp. The color is defined as an array of RGBA values ([255,255,255,255]).

CIMMarkerGraphic Type Definition CIMMarkerGraphic Object

Represents a marker graphic which is used to define vector graphics in a vector marker. The marker graphics are typically rendered from bottom to top, so the first marker graphic will be displayed at the bottom, and the last marker graphic will be displayed on top.

Known limitation

For CIMSymbols in a FeatureLayer, a marker graphic that contains a CIMTextSymbol will always be rendered on top, regardless of its order in the array of graphics.

CIMMarkerPlacementAlongLineSameSize Type Definition CIMMarkerPlacementAlongLineSameSize Object

Represents marker placement along the line which places markers that are the same size evenly along a line or polygon outline.

"markerPlacement": {
   "type": "CIMMarkerPlacementAlongLineSameSize",
   "angleToLine": true,
   "offset": 0,
   "controlPointsPlacement": "NoConstraint",
   "customEndingOffset": 0,
   "endings": "NoConstraint",
   "offsetAlongLine": 0,
   "placementTemplate": [10, 10]
}

The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.

Properties

The value is always "CIMMarkerPlacementAlongLineSameSize".

optional

The primitive name.

optional

Default Value:true

A value indicating whether to consider individual geometry parts or the whole geometry.

optional

Default Value:true

A value indicating whether to angle the marker to the line.

optional

Default Value:0

The offset in points.

optional

Default Value:0

Where the pattern should end relative to the ending point of the geometry. The entire pattern is shifted along the line for the specified distance. Negative numbers shift to the left and positive numbers shift to the right. This is only applied if the endings property is set to Custom.

optional

Default Value:"WithHalfGap"

How markers are placed at the end points of a line.

Possible Values:"NoConstraint"|"WithMarkers"|"WithFullGap"|"WithHalfGap"|"Custom"

optional

Default Value:0

Where the pattern should begin relative to the starting point of the geometry. The entire pattern is shifted along the line for the specified distance. Negative numbers shift to the left and positive numbers shift to the right. This is only applied if the endings property is set to No Constraint or Custom.

The numeric pattern that defines the sequence of placed markers and the length of space between them.

See also

CIMMarkerPlacementAtExtremities Type Definition CIMMarkerPlacementAtExtremities Object

Represents marker placement at extremities which places markers at only one or both endpoints of a line.

"markerPlacement": {
   "type": "CIMMarkerPlacementAtExtremities",
   "angleToLine": true,
   "offset": 0,
   "extremityPlacement": "Both",
   "offsetAlongLine": 0
}

The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.

Properties

The value is always "CIMMarkerPlacementAtExtremities".

optional

The primitive name.

optional

Default Value:true

A value indicating whether to consider individual geometry parts or the whole geometry.

optional

Default Value:true

A value indicating whether to angle the marker to the line.

optional

Default Value:0

The offset in points.

optional

Default Value:"Both"

Which ends of the line a marker will be placed.

Possible Values:"Both"|"JustBegin"|"JustEnd"|"None"

optional

Default Value:0

The distance (in points) from the ends of a line that the marker will be placed.

See also

MarkerPlacement

CIMMarkerPlacementAtRatioPositions Type Definition CIMMarkerPlacementAtRatioPositions Object

Represents marker placement at ratio positions which places a set number of markers along the line or the outline of a polygon.

"markerPlacement": {
   "type": "CIMMarkerPlacementAtRatioPositions",
   "angleToLine": true,
   "offset": 0,
   "beginPosition": 0,
   "endPosition": 0,
   "flipFirst": false,
   "positionArray": ["0", "0.5"]
}

The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.

Properties

The value is always "CIMMarkerPlacementAtRatioPositions".

optional

The primitive name.

optional

Default Value:true

A value indicating whether to consider individual geometry parts or the whole geometry.

optional

Default Value:true

A value indicating whether to angle the marker to the line.

optional

Default Value:0

The offset in points.

optional

Default Value:0

The distance from the beginning of a line that the marker will be placed.

optional

Default Value:0

The distance from the end of a line that the marker will be placed. The ending of a line is determined by the direction in which the line was digitized.

optional

Default Value:true

A value indicating whether only the first marker will be rotated 180 degrees.

The array of positions.

See also

MarkerPlacement

CIMMarkerPlacementInsidePolygon Type Definition CIMMarkerPlacementInsidePolygon Object

Represents marker placement inside a polygon which defines how a polygon is filled with a pattern of markers.

"markerPlacement": {
   "type": "CIMMarkerPlacementInsidePolygon",
   "gridAngle": 0,
   "offsetX": 0,
   "offsetY": 0,
   "stepX": 20,
   "stepY": 20,
   "shiftOddRows": true
}

The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.

Properties

The value is always "CIMMarkerPlacementInsidePolygon".

optional

The primitive name.

optional

Default Value:true

A value indicating whether to consider individual geometry parts or the whole geometry.

optional

Default Value:0

The orientation angle that the markers are placed on within the polygon.

optional

Default Value:"Fixed"

The grid type which defines how markers are placed. Random is supported as of version 4.24.

Possible Values:"Fixed"|"Random"

optional

Default Value:0

The marker row offset horizontally in points.

optional

Default Value:0

The marker row offset vertically in points.

optional

Default Value:false

A value indicating whether every other row of markers should be shifted to create an offset grid.

The distance between each marker on the X-axis of the grid.

The distance between each marker on the Y-axis of the grid.

optional

Default Value:100

Since 4.24 A percentage that determines the randomness of markers within the polygon. Accepted values are between 0 and 100, with 0 being the least random and 100 being the most random. Only applied when gridType is Random.

optional

Default Value:0

Since 4.24 The starting value for generating a random pattern. Only applied when gridType is Random.

optional

The clipping option which specifies how markers should be clipped at the polygon boundary. The markers will always be clipped at the polygon boundary.

The value is always "ClipAtBoundary".

See also

CIMMarkerPlacementOnLine Type Definition CIMMarkerPlacementOnLine Object

Represents a marker placement on the line.

"markerPlacement": {
   "type": "CIMMarkerPlacementOnLine",
   "angleToLine": true,
   "offset": 0,
   "relativeTo": "LineMiddle",
   "startPointOffset": 0
}

The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.

Properties

The value is always "CIMMarkerPlacementOnLine".

optional

The primitive name.

optional

Default Value:true

A value indicating whether to consider individual geometry parts or the whole geometry.

optional

Default Value:true

A value indicating whether to angle the marker to the line.

optional

Default Value:0

The offset in points.

optional

Default Value:"LineMiddle"

The location on a line where a marker will be placed. The direction of the line is determined by the direction in which the line was digitized.

Possible Values:"LineMiddle"|"LineBeginning"|"LineEnd"|"SegmentMidpoint"

optional

Default Value:0

The distance in points from a specified location on a line that a marker will be placed.

See also

MarkerPlacement

CIMMarkerPlacementOnVertices Type Definition CIMMarkerPlacementOnVertices Object

Represents a marker placement on vertices which places a single marker on a line or polygon outline at a set distance from the middle or one of the endpoints.

"markerPlacement": {
   "type": "CIMMarkerPlacementOnVertices",
   "angleToLine": true,
   "offset": 0,
   "placeOnEndPoints": true,
   "placeOnRegularVertices": true
}

The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.

Properties

The value is always "CIMMarkerPlacementOnVertices".

optional

The primitive name.

optional

Default Value:true

A value indicating whether to consider individual geometry parts or the whole geometry.

optional

Default Value:true

A value indicating whether to angle the marker to the line.

optional

Default Value:0

The offset in points.

optional

Default Value:true

A value indicating whether a marker will be placed on the control points of the line.

optional

Default Value:true

A value indicating whether a marker will be placed on the endpoints of the line.

optional

Default Value:true

A value indicating whether a marker will be placed on the vertices of the line.

See also

MarkerPlacement

CIMMarkerPlacementPolygonCenter Type Definition CIMMarkerPlacementPolygonCenter Object

Represents marker placement polygon center which defines how a single marker will be placed within the polygon.

"markerPlacement": {
   "type": "CIMMarkerPlacementPolygonCenter",
   "method": "OnPolygon",
   "offsetX": 0,
   "offsetY": 0,
   "clipAtBoundary": false
}

The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.

Properties

The value is always "CIMMarkerPlacementPolygonCenter".

optional

The primitive name.

optional

A value indicating whether to consider individual geometry parts or the whole geometry.

optional

Default Value:"OnPolygon"

The method used to determine the polygon center.

Possible Values:"OnPolygon"|"CenterOfMass"|"BoundingBoxCenter"

optional

Default Value:0

The value which offsets the marker horizontally from the center in points.

optional

Default Value:0

The value which offsets the marker vertically from the center in points.

optional

Default Value:false

A value indicating whether the marker should be clipped if it extends pasts the boundary of the polygon.

See also

MarkerPlacement

CIMMultipartColorRamp Type Definition CIMMultipartColorRamp Object Since: ArcGIS Maps SDK for JavaScript 4.32 CIMSymbol since 4.12, CIMMultipartColorRamp added at 4.32.

Represents a multipart color ramp scheme - a color ramp defined by combining two or more continuous or fixed ramps.

colorRamp: {
  type: "CIMMultipartColorRamp",
  colorRamps: [
    {
      type: "CIMLinearContinuousColorRamp",
      fromColor: [0, 76, 115, 255],
      toColor: [0, 132, 168, 255]
    },
    {
      type: "CIMLinearContinuousColorRamp",
      fromColor: [0, 132, 168, 255],
      toColor: [255, 255, 255, 255]
    }
  ],
  weights: [0.3, 0.7]
}

Properties

The value is always "CIMMultipartColorRamp".

An ordered list of color ramps that are combined to build the multipart color ramp. Typically these are continuous color ramps.

The proportional weight for each color ramp that make up the multipart ramp. This allows for ramp to ramp transition at specific weight points. The number of weights must match the number of color ramps.

CIMPictureFill Type Definition CIMPictureFill Object

Represents a picture fill which fills polygonal geometry with a picture. Supported file types are .bmp, .jpg, .png, and .gif.

The following image shows a CIMPolygonSymbol with two CIMPictureFill symbol layers and a CIMSolidFill symbol layer (as defined in the code snippet below).

{
  "type": "CIMPolygonSymbol",
  "symbolLayers": [
    {
      "type": "CIMPictureFill",
      "enable": true,
      "colorLocked": true,
      "url": 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rSIF7bKPWh4nprzB1qdj+u69bGxMXL48GFlYmJizf3t378/OnjwoD04OMib9mBrmva8rut/Vy6X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\nZ0NO6YwfuknKUbMDVACAdwHgGADUfAAh5kJpkiSNa5r2o1gs9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ZquijffM0lU99eUShXI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cunRpWdO0cmdn5+B7773HZ3MGzdRFcb6/a6hPmBaMQE1MjCUCAiyl5EoWW6qWx7hW5pAQ4tW2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\nmiqKyclJfWZmZrWmaSjN7jYMA2zb9g3DOMIYKyu62HfLOLt169bfQQjpneD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null | undefined mf3//hmazud62bcAYg+/73HXd84yxOcuyTjPGajfffHO635rj4+NzlNKzlNKXKKXP\nMMY2Uko/pev69ZRSdvTo0bckrRJCiGma6y3L+gIh5BTG+Lvt6JPqIBldpo55y7nJymQAOA8AdYTQ\nWxS3QpKCgwcPHqWUTmqaVjNN8w91Xf/gsWPHdNd1U6dGS5LkBs75QwBQKRaLXzpw4MDUQw89JK+a\nIXCZCjOdVAwA0/v3769RSv9A07TfZoz9ys9+9rO+ubk5oqBOFkXR9UKIjevWrQsKhcL/u3fv3pMP\nP/wwV9c34jhe43mentJ9LlMznsteMBWXcffv3/9KsVg8o2nas5qm/YGU8oPnzp3TU2haCKEBwB2E\nkH9ICCmbpvmMukbL+oyiCMIwbM0n4+0kihinW300hYWmKzcqYwnXarWYc356ZmbmRBRF9enpad5o\nNDgAgCKjiQCgPD4+XiWETBJCXiOEPEYI+XWEUL+UEgshoFKpQLb8q9lsAqUUm6a5xrbtbZTSH42N\njb08MjKSLINQWzQPAJBJkjTK5fLk5OTkKdd1G7VaLW42m3LXrl0oJQhS5Wa1nTt3NlTi6WHG2GZK\n6SZCyHWwwEwJlUql5XmmAqpSqRDTNK+zbfthSukzY2Nj1WVGBcy+vr71QohVQRDYx48fXzc1NTWk\n6/rPDMM4Vq1Wa5VKxZVS1h577LEwo0TrGOMZSunLjLH7CCHbCCG3IIS0JEmgXC63FGcQBKlSXPZ1\n6bQm6kwcnZ+fP/Pcc8+hRqORxHFsjo+PS4xxrIxkoVjdmhMTEx4hZI5SepQx9iyldARj/DGEUC8A\n4MnJyZYxkCqR+fl5ZJpmybbtTzHGnsMYzwGA28kQuNrySwnVEADOHzhwYNY0zZOWZT3vOM59+Xz+\nwRMnTtw+OTmpNxoN0HUdua6r1+v1tfV6fXBoaEgbHBz84p49e37IGAuWo/TrSuazadMmDgBzhw4d\nKpumecq27Z8XCoUN+Xz+d0+dOnXP2bNnnenpacQYQ6Zp5iqVym2VSmXt0NDQDYODg/9i//79f8MY\na3ZySNI8J855134EF0IE0v2madoGjDEihHDf94MXX3wRJicnEQDUEEJeEARsdHTUwBinrZslQihE\nCE0TQuYppacopYcJIb9544033ial1I4ePdoynMMwhGazCbOzs6xQKNxoGMb9GONXVfWNSO9XShlj\njOcvtSplqXMDACeVwXHBvC+1X7z9+/c/PzAw8EWE0B9yzj947NixVh8NleOxRtO0RxljryOEvtHp\nrCwnInDZCjMdGzduDA4cOPACxviPMcbzQogtr7zySml+fj4VBARjvIoxtokQMuM4zlcyXhpKkkTz\nPA9pmgZZY+BqCLpLWTAFx8zu3r37r1etWvVFKeUX4zj+wNTUlJ5SlCKENMbYnbqu/xNK6fmJiYlX\ntmzZkqSxvbQULoXnM8mCvNtzVSGAXlioljABADUaDf8HP/iB6XkeCYJgUB0SgTGu79ixAzDGJD1A\nW7Zs4Tt37qwghP4aITSvDumnpZR9nHMcxzHUarUWFI0QgmazCfPz86xYLN5gmuZ9hJDTADC7DLHN\nRfMAgPLMzMzxp59+eiiO47UIoWmV0OQihLwdO3YsUH4RkvaXENu2bauPjY39FGPcQAi5ADACABuE\nEDSKIqhWq4tq2j3Pg0qlQguFwjrTNH+FEHJquVCB7N7CGJuUUo4Qqs7MzKyJomilEEIghBjGuEEp\nNXbs2MEIIUIJbaHm+ZqqH55BCP0jhNB7OOdaHMdQqUFJOk8AACAASURBVFRaoZsoipZ9XbqtCQD8\nFACmvvOd7+iVSuUOjLGnPE+BEJrDGHuEkHh0dJSqfZwghDxCyDmE0LcxxmcU29t9UsqBMAzJuXPn\nWusSxzEEQQC1Wo1Uq9XVjuPcRyn9m/HxcW94eFhcKtS8nPLroYce4gAwf+DAgZcppacNw3jWMIw/\nYIx98NixY3qj0QBV1obCMDSiKLo3SZIvrly58o8cx/le1vi/GkjNxc5HKXLv0KFDx3RdP2uaZsO2\n7X9gWdaHjxw5smp+fp6pROI02/5DQRD881WrVv37QqHw9KFDhxrtxkCa5xTHcUuGtRkAEiEku8nr\n7H5DCBmMMQEA5SAIXj9//jzhnM9xzt0kSQwpZX8URQ5CqIkxnkUIJRhjQgihav+d0nV9H0KoCQD/\neMOGDbcHQcBOnDgBGONWVY7rulCpVHLFYvFjjLGnCSEzsMBimybnepZlHTFNM1yucwMA0aWS323c\nuDHYv3//8/39/V+M4/gPfd//4KlTp/QoilKHhuq6fotpmr/NGDu9b9++nyxVqYaXUWGC2myvAsDP\nAOB1AJhf6hBlDlOkadrPi8XiE9dff/1LN954Y+A4DkRRBJ7nwdzcHDl9+vS6ubm5rWEYvnfXrl16\nCp8nSQK+70MQBBDHcXazESWMLrrpUJcFqwDAi2o+LkIouZRFe/TRRwPDMH40NDT0Jxs2bDheKBR4\nHMcQhiHU63WYm5vTy+Xy7b7v358kSe/ExATatWsXEULYURSRdF5ZcgxY6GFebye2yMCCtypoMAaA\nqSRJfuy67g8RQq/atn3MMIx5QkhNhR96gyBY5ft+r+/75hNPPJHnnOORkZGAMfaaaZpfcRznW/l8\nfr6np0cWCgXQdb1l2acHqNlsQq1WKwVBcJ8QYkjBwFcKby6aBwC8fOzYsck4jquGYZywbfu8aZpl\nQoinDKdiGIZ9nuf1BkGQi6Ko8JWvfCWPEBKU0hOGYeywbfsvHMc53dvby/v6+sA0zRa3epoQ6Xke\n1Gq1Pt/3H+Kcr7ySuSy1tyils/39/Yfy+fwX8/n8f3IcZ5dhGN8hhJzgnOfDMNzged51vu8PBEEw\nEEVRj0KGpnVd/7plWf/RcZzD/f398dDQUGsuqScWBAG4rgvVarUUhuF9QoihsbExvNxrAgBnEUIh\n55wTQlzLss5YlnVE1/XXKaUVIYQVhuHNvu9/0HXdjyolcjPn3MIY+4yxn1qW9Z8cx9nf09NTWb16\ntczn860QGeccoihK52L7vv9LSZLcoFC1X7j8UjIsefTRR2dt2/7rwcHBL950003PrV+/PlTVHOn5\ngNnZWePMmTMfOH/+/O97nvd+1eN+WY3MK5nPAw88IB988MHAtu0XBgcH/6+bbrrp3916661H8/l8\nkpbklctlmJqaMo4fP/7Lp0+f/ie1Wu3DURSZ3RCBKIoWJT4rGSbVvcguzI1d99sbb7wx2Wg0AgCo\nG4bh27bdsG37jGVZr+u6fpoxVlf5CXe4rvtxz/M2AAAlhMzquv5N27b/az6fP7pu3bqkt7d30R4L\nwxBqtRpxXXcgSZI7pJRWe7TDsqwGY0xejG65mHNzuQy4GzduDAzDeH5gYOBfrl+//o1SqcTTvAzP\n86BcLmszMzPvaTabWzjn/Ut9F14uoXalCnPjxo2xpmkv9/T0/N/XX3/9y0NDQ3EaJ282mzA3N0fP\nnTt3R7PZ/KdJkqzftWsXTq3NIAggCIJWNqh66erefFiiCcPbsWCMMd+yrJdWr179g7Vr17q6rrey\nvBuNBpTL5VK9Xv9ckiS3Sik11RWqGEURSclxsgdJPdtah0NNAGBIxQXT5MCfHDly5EwURXMYY3fz\n5s3N4eHhePv27bFt27Ft22XTNCcZY/MAkAvD8LYkSSwVl/UZY8+bpvmfbdv+YS6X83t6esBxnEUK\nJ1U6jUaD+r6/gnN+oxDCvAK51nEeADBZLpddQshxQkhly5YtwfDwcLR9+3buOE7iOE7VNM05xlgZ\nAEQYhreGYXi7lNIYGRlJKKVnDMM4YNv213K5XLWvr0/m83nAGLdihRkFSn3fX8k5v+kK59J1b2GM\nXxoaGnq9Xq8f3bx588mRkZHJ7du3zzmO08jlcjO2bR/VNO0UIWROwZc3c86tkZERQQgp67r+Lcuy\n/txxnJP9/f28t7e3hRxleRQajQZtNpsrOOc3qk6ey7om6T5UhmkDY+wODw83HnvsMde27WYul5t2\nHOdV0zSf03X9RwDgBUHw/iiKVgEAHRkZiRhjr5qm+WXbtn/U19fnDw0NgcqPaKFP6rzgZrNZ4pzf\nLoSwOt3ohRCBqyG/0vHwww8Hpmk+39fX98UNGzb8cM2aNaEiomkZZuVyWT937twvl8vlPwjD8I79\n+/ezq4CeXdF8HnjggUjX9aM9PT1PbtiwYdctt9wyl8vlZBAE4Pt+atTop0+fvntqaur3PM97//79\n+/V2QyBVrmluUSYsIFXIqNt6dd1vZ86cCTDGFYRQ8uijj8rNmzcnW7Zs8UdGRtzHHnvMf+yxxxLD\nMJqWZf1U07QfEUKmpJTJyMiIwBjPapr2Ndu2d/X29s6tWbNGqrb1kNU3zWbTSZLkbiFEfmxsLNuo\nR1qWRRFClsqziK703FzJ2LRpU2BZ1qsrVqx4dtWqVa5lWSCEgDiOodlsQrlcLszPz38sDMNV+/bt\no8tmCFxNhblp06ZQ1/UXe3t7d6xZs2bGtu1FMOfs7KxRqVRui6Lol1Tda+v3qcJMywjVAmBY4IK+\nGD7oq7ZgGzdulIyxqXw+/8Tq1auPlEqllpHj+z5Uq1VarVavj6LoPs55Sik5FIahrsr02rumxRjj\nWRV/bQ/19KjEIFCQVn1ycjLQNK2iYmdZtEJu2bIlGh4e9h977LHAsqyKbduHdV33VKxdjoyMeJTS\nnxmG8ReWZZ3M5/O8WCyCrr955tuQGTtJkvdKKe0reGQd54EQ4srrrCkGydZ45JFH5ObNm6Ph4eFw\n+/btkWVZTcdxfm6a5s8xxgEAwPDwMKeUnjIMY8yyrMO5XC4ulUpgGMZbvE/P80A1MLm1m8JZLiX6\n+OOPy/a5PProo+HWrVu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QKLSILwci8LZZOIoZap4xlmST0lJoXHlqSXr4U1ZBhBAtFou3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TkCKxLyeOKJJ2gURYVGo0E55wAhBFKpFDBN00EIvQHk7PeYclMUpeU0RSFEGEXRacbY8dtv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null | undefined SvZbltent7RW9vLyOE8G3btsk5DomcnVCSQo+upmn/ZFnWd6Ioas/n8y31eh2azSakk24Uqma+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\nCDUvJS1r1q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MGgJEk4jIjLZs3b8ZZYJN87LeAA4ExPqNp2tnWau6BgQE9iqLlKS1SSigW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\n/d0FMtFq9drWZ8MwQNO0qI/DRwjNE0L81diWEMKuVqsztm3X5u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null | undefined 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LZ0Fyc4XleoLV+TSkVmDVAbVGnnAr4MlC78KBfLSWpfhkIfEC8NoQQZFkm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\n8Wxe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null | undefined 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2eT6fTF3p7ey1VVRs+MwLQmuM4Hw3D8J4wDONi4sYH51wIIQSKZkU307uQnOIWddXa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\nEc77QEAyPRAEQbFcLn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      "type": "CIMPictureFill",
      "enable": true,
      "url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAgIAAAICCAYAAAC9RaXMAAAABmJLR0QAnACcAJzgBe+VAAAACXBI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\nTkSuQmCC",
      "rotation": -90,
      "scaleX": 1,
      "height": 80,
      "textureFilter": "Picture",
      "tintColor": [192, 228, 218, 255]
    },
    {
      "type": "CIMSolidFill",
      "enable": true,
      "color": [120, 191, 233, 255]
    }
  ]
}

Properties

The value is always "CIMPictureFill".

optional

The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.

A value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.

optional

Default Value:false

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

The url of the image. Typically a base64 encoded image.

optional

Default Value:0

The distance that the image is offset in points in the horizontal direction.

optional

Default Value:0

The distance that the image is offset in points in the vertical direction.

optional

Default Value:0

The angle of the image within the fill.

optional

Default Value:1

The width of the symbol without changing the height, as a ratio. For example, a scaleX value of 1 means no change, 0.5 means half the width, and 2 means double the width.

optional

Default Value:10

The height of the image in points.

optional

The color substitutions which allows colors in the image to be substituted with a different color.

optional

The color that is applied as a tint to the image. The color is applied to the whole image. When the tint is set to white the image appears with its native colors. Value should be an array of r,b,g,a values (i.e. [255,255,255,255] (white)).

See also

CIMSymbolLayer

CIMPictureMarker Type Definition CIMPictureMarker Object

Represents a picture marker created from a raster (bitmapped) image file. The image can have color substitutions to replace one or more colors in the image or it can have a tint applied to the whole image depending on the picture type. Supported formats are .bmp, .jpg, .png, and .gif.

The following image shows a CIMPictureMarker symbol layer (as defined in the code snippet below).

{
   "type": "CIMPictureMarker",
   "enable": true,
   "anchorPoint": {
     "x": 0,
     "y": 0
   },
   "size": 40,
   "scaleX": 1,
   "tintColor": [255, 255, 255, 255],
   "url": "https://freesvg.org/img/Earth.png"
}

Properties

The value is always "CIMPictureMarker".

A value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.

The url of the image. Typically a base64 encoded image.

The height of the marker in points. Modifying size changes the marker's height to the specified size. The width will be updated proportionally.

optional

Default Value:false

optional

The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

optional

The specified location where all transformation property operations originate.

Specification

optional

The x coordinate of the anchor point, measured along the east/west axis.

optional

The y coordinate of the anchor point, measured along the north/south axis.

optional

Default Value:"Relative"

A value which specifies if the anchor point location is considered a percentage of the size or as an absolute distance.

Possible Values:"Relative"|"Absolute"

optional

Default Value:0

The distance that the image is offset in the horizontal direction in points.

optional

Default Value:0

The distance that the image is offset in the vertical direction in points.

optional

Default Value:false

A value indicating whether the rotation is applied clockwise or counterclockwise to the marker layer.

optional

Default Value:0

The angle of the image within the fill.

optional

Determines how markers are placed along a line or within a polygon.

optional

Default Value:1

The width of the symbol without changing the height, as a ratio. For example, a scaleX value of 1 means no change, 0.5 means half the width, and 2 means double the width.

optional

The height of the image in points.

optional

The color substitutions which allows colors in the image to be substituted with a different color.

optional

Since 4.24 The collection of symbol properties that apply when the symbol layer has animation data (animated GIF or PNG).

optional

Since 4.31 The animations applied to the picure marker.

See also

CIMSymbolLayer

CIMPictureStroke Type Definition CIMPictureStroke Object

Represents a picture stroke which draws linear geometry with a repeating image file. Supported file types are .bmp, .jpg, .png, and .gif.

Properties

The value is always "CIMPictureStroke".

A value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.

optional

Default Value:false

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

The url of the image. Typically a base64 encoded image.

optional

The color substitutions which allows colors in the image to be substituted with a different color.

optional

The width of the stroke.

optional

Default Value:"Round"

Determines how the stroke should draw at the ends of the geometries.

Possible Values:"Butt"|"Round"|"Square"

optional

Default Value:"Round"

Determines how the symbol is drawn at the stroke segment connections.

Possible Values:"Bevel"|"Round"|"Miter"

optional

Default Value:4

optional

The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.

See also

CIMSymbolLayer

CIMPointSymbol Type Definition CIMPointSymbol Object

Represents a point symbol used to draw point features and graphics.

The code snippet below shows an example of a CIMPointSymbol with one CIMVectorMarker symbol layer which contains a triangle marker graphic as shown below.

const symbol = new CIMSymbol({
  data:  {
    type: "CIMSymbolReference",
    symbol: {
       type: "CIMPointSymbol",
       symbolLayers: [{
           type: "CIMVectorMarker",
           enable: true,
           size: 32,
           frame: {
             xmin: 0,
             ymin: 0,
             xmax: 16,
             ymax: 16
           },
           markerGraphics: [{
             type: "CIMMarkerGraphic",
             geometry: {
               rings: [[[8, 16],[0, 0],[16, 0],[8, 16]]]
             },
             symbol: {
               type: "CIMPolygonSymbol",
               symbolLayers: [{
                 type: "CIMSolidStroke",
                 width: 5,
                 color: [240, 94, 35, 255]
               }]
             }
           }]
       }]
    }
  }
});

Properties

The value is always "CIMPointSymbol".

optional

The amount of variation applied to the symbol, measured in degrees, propagated cumulatively to all marker symbols.

optional

Default Value:"Display"

Indicates whether point symbols align to the map or to the display when a rotation is applied to the map.

Possible Values:"Display"|"Map"

optional

The geometric effects applied to the symbol.

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

optional

The X scale which changes the width of the symbol without changing the height, as a ratio. For example, a scaleX value of 1 means no change, 0.5 means half the width, and 2 means double the width.

optional

A value indicating whether the symbol size properties are rendered using real world units or page units. When set to true, the symbol will draw using real world units (e.g. meters).

optional

Since 4.31 The animations applied globally to the entire symbol.

See also

CIMPolygonSymbol Type Definition CIMPolygonSymbol Object Since: ArcGIS Maps SDK for JavaScript 4.16 CIMSymbol since 4.12, CIMPolygonSymbol added at 4.16.

Represents a polygon symbol used to draw polygon features and graphics.

The code snippet below shows an example of a CIMPolygonSymbol with CIMVectorMarker symbols placed inside the polygon.

const markerPolygonSymbol = new CIMSymbol({
   data: {
     type: "CIMSymbolReference",
     symbol: {
       type: "CIMPolygonSymbol",
       symbolLayers: [{
         type: "CIMVectorMarker",
         enable: true,
         size: 10,
         markerPlacement: {
           type: "CIMMarkerPlacementInsidePolygon",
           gridType: "Fixed",
           seed: 13,
           stepX: 16,
           stepY: 16,
           clipping: "ClipAtBoundary",
         },
         markerGraphics: [{
           type: "CIMMarkerGraphic",
           geometry: {
             rings: [
               [
                 [0,5],
                 [1.12,1.55],
                 [4.76,1.55],
                 [1.82,-0.59],
                 [2.94,-4.05],
                 [0,-1.91],
                 [-2.94,-4.05],
                 [-1.82,-0.59],
                 [-4.76,1.55],
                 [-1.12,1.55],
                 [0,5]
               ]
             ]
           },
           symbol: {
             type: "CIMPolygonSymbol",
             symbolLayers: [{
               type: "CIMSolidFill",
               enable: true,
               color: [190,210,255,255]
             }]
           }
         }],
         scaleSymbolsProportionally: true,
         respectFrame: true
       },
       {
         type: "CIMSolidFill",
         enable: true,
         color: [0,112,255,255]
       }]
     }
   }
});

CIMPolygonSymbol is not currently supported in 3D SceneViews.

Properties

The value is always "CIMPolygonSymbol".

optional

The geometric effects applied to the symbol.

optional

A value indicating whether the symbol size properties are rendered using real world units or page units. When set to true, the symbol will draw using real world units (e.g. meters).

See also

CIMSolidFill Type Definition CIMSolidFill Object

Represents a solid fill which fills polygonal geometry with a single solid color.

The following image shows a CIMPolygonSymbol with a CIMSolidFill symbol layer (as defined in the code snippet below).

{
   "type": "CIMSolidFill",
   "enable": true,
   "color": [151, 219, 242, 255]
}

Properties

The value is always "CIMSolidFill".

optional

The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.

A value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.

optional

Default Value:false

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

The color that is applied to the fill. Value should be an array of r,b,g,a values (i.e. [255,255,255,255] (white)).

optional

Since 4.31 The animations applied to the solid fill. Only CIMSymbolAnimationColor is supported.

See also

CIMSymbolLayer

CIMSolidStroke Type Definition CIMSolidStroke Object

Represents a solid stroke which draws linear geometry with a single solid color.

The following image shows a CIMLineSymbol with a CIMSolidStroke symbol layer (as defined in the code snippet below).

{
   "type": "CIMSolidStroke",
   "enable": true,
   "capStyle": "Round",
   "joinStyle": "Round",
   "lineStyle3D": "Strip",
   "miterLimit": 10,
   "width": 5,
   "color": [0, 0, 0, 255]
}

Properties

The value is always "CIMSolidStroke".

A value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.

optional

Default Value:false

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

The color that is applied to the fill. Value should be an array of r,b,g,a values (i.e. [255,255,255,255] (white)).

The width of the stroke.

optional

Default Value:"Round"

Determines how the stroke should draw at the ends of the geometries.

Possible Values:"Butt"|"Round"|"Square"

optional

Default Value:"Round"

Determines how the symbol is drawn at the stroke segment connections.

Possible Values:"Bevel"|"Round"|"Miter"

optional

Default Value:4

optional

The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.

optional

Since 4.31 The animations applied to the solid stroke. Only CIMSymbolAnimationColor is supported.

See also

CIMSymbolLayer

Represents a symbol animation used to animate the appearance of a symbol. The following types of animations are supported:

Known Limitations for CIMSymbol animations

Animations are not currently supported in 3D SceneView.
Animated symbols are not currently supported in the Legend widget.
Global animations are currently only supported on CIMPointSymbols.
Symbol layer animations are not fully supported within a CIMLineSymbol or CIMPolygonSymbol. If you use an animated marker within a line or polygon symbol, the marker placement will not be properly honored at this time. We will improve this behavior at a future release.

CIMSymbolAnimationColor Type Definition CIMSymbolAnimationColor Object Since: ArcGIS Maps SDK for JavaScript 4.31 CIMSymbol since 4.12, CIMSymbolAnimationColor added at 4.31.

Represents a symbol animation that changes the color of a symbol. When applied globally or on a CIMVectorMarker or CIMPictureMarker symbol layer, the color animation will be multiplicatively applied to the symbol's color. When applied on a CIMSolidStroke or CIMSolidFill symbol layer, the color animation will be additively applied to the symbol's color.

Properties

The type of animation.

The value is always "CIMSymbolAnimationColor".

The color of the symbol to animate to.

optional

The properties that apply when the symbol layer has animation data.

See also

CIMSymbolAnimation

CIMSymbolAnimationOffset Type Definition CIMSymbolAnimationOffset Object Since: ArcGIS Maps SDK for JavaScript 4.31 CIMSymbol since 4.12, CIMSymbolAnimationOffset added at 4.31.

Represents a symbol animation that offsets a symbol.

Properties

The type of animation.

The value is always "CIMSymbolAnimationOffset".

optional

The x offset of the symbol in points to animate to.

optional

The y offset of the symbol in points to animate to.

optional

The properties that apply when the symbol layer has animation data.

See also

CIMSymbolAnimation

CIMSymbolAnimationRotation Type Definition CIMSymbolAnimationRotation Object Since: ArcGIS Maps SDK for JavaScript 4.31 CIMSymbol since 4.12, CIMSymbolAnimationRotation added at 4.31.

Represents a symbol animation that rotates a symbol.

Properties

The type of animation.

The value is always "CIMSymbolAnimationRotation".

The rotation of the symbol to animate to.

optional

Default Value:false

Since 4.32. A value indicating whether the rotation is applied clockwise or counterclockwise.

optional

The properties that apply when the symbol layer has animation data.

See also

CIMSymbolAnimation

CIMSymbolAnimationScale Type Definition CIMSymbolAnimationScale Object Since: ArcGIS Maps SDK for JavaScript 4.31 CIMSymbol since 4.12, CIMSymbolAnimationScale added at 4.31.

Represents a symbol animation that scales a symbol.

Properties

The type of animation.

The value is always "CIMSymbolAnimationScale".

The scale of the symbol to animate to. For example, a scaleFactor of 2 will animate the symbol to twice its original size, and a scaleFactor of 0.5 will animate the symbol to half of its original size.

optional

The properties that apply when the symbol layer has animation data.

See also

CIMSymbolAnimationSize Type Definition CIMSymbolAnimationSize Object Since: ArcGIS Maps SDK for JavaScript 4.31 CIMSymbol since 4.12, CIMSymbolAnimationSize added at 4.31.

Represents a symbol animation that changes the size of a symbol.

Properties

The type of animation.

The value is always "CIMSymbolAnimationSize".

The size of the symbol to animate to in points.

optional

The properties that apply when the symbol layer has animation data.

See also

CIMSymbolAnimation

CIMSymbolAnimationTransparency Type Definition CIMSymbolAnimationTransparency Object Since: ArcGIS Maps SDK for JavaScript 4.31 CIMSymbol since 4.12, CIMSymbolAnimationTransparency added at 4.31.

Represents a symbol animation that changes the transparency of a symbol.

Properties

The type of animation.

The value is always "CIMSymbolAnimationTransparency".

optional

The transparency of the symbol to animate to.

optional

The properties that apply when the symbol layer has animation data.

See also

Represents a symbol layer, the component that makes up a symbol. A symbol layer is represented by a marker, stroke, or fill symbol layer. Symbol layers are the building blocks of CIM symbols, they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer, and combine multiple symbol layers to create your desired symbol. The symbol layers are typically displayed in the order they are defined, so the first symbol layer will be displayed on top, and the last symbol layer will be displayed on bottom.

Known Limitations

CIMSymbols within a FeatureLayer will render the symbol layers in the following order from top to bottom for performance reasons, regardless of the order they are defined within the symbol.

CIMTextSymbol embedded within a CIMVectorMarker symbol layer
Marker symbols - CIMVectorMarker and CIMPictureMarker
Stroke symbols - CIMSolidStroke, CIMPictureStroke, and CIMGradientStroke
Fill symbols - CIMSolidFill, CIMHatchFill, CIMPictureFill, and CIMGradientFill

CIMSymbolReference Type Definition CIMSymbolReference Object

Represents a symbol reference from the data property.

Properties

The value is always "CIMSymbolReference".

optional

The primitive overrides. These allow you to use Arcade expressions to dynamically change many symbol layer properties from data values.

optional

The symbol. Supported values are CIMPointSymbol, CIMLineSymbol, and CIMPolygonSymbol.

optional

Since 4.20 The minimum scale the symbol reference should be displayed. To show your symbol at all scales, set minScale and maxScale to 0.

optional

Since 4.20 The maximum scale the symbol reference should be displayed. To show your symbol at all scales, set minScale and maxScale to 0.

See also

CIMSymbol.data

CIMTextSymbol Type Definition CIMTextSymbol Object

Represents a text symbol which is used to draw text graphics. Text symbols do not contain any symbol layers.

The code snippet below shows an example of a CIMTextSymbol as a marker graphic inside a CIMVectorMarker symbol layer.

{
   "type": "CIMVectorMarker",
   "enable": true,
   "size": 10,
   "colorLocked": true,
   "anchorPointUnits": "Relative",
   "frame": {
      "xmin": -5,
      "ymin": -5,
      "xmax": 5,
      "ymax": 5
   },
   "markerGraphics": [
      {
         "type": "CIMMarkerGraphic",
         "geometry": {
           "x": 0,
           "y": 0
         },
         "symbol": {
           "type": "CIMTextSymbol",
           "fontFamilyName": "Arial",
           "fontStyleName": "Bold",
           "height": 20,
           "horizontalAlignment": "Center",
           "offsetX": 0,
           "offsetY": 0,
           "symbol": {
             "type": "CIMPolygonSymbol",
             "symbolLayers": [
               {
                 "type": "CIMSolidFill",
                 "enable": true,
                 "color": [89, 31, 147, 255]
               }
             ]
           },
           "verticalAlignment": "Center",
         },
         "textString": "hello!"
      }
   ],
   "scaleSymbolsProportionally": true,
   "respectFrame": true
}

Properties

The value is always "CIMTextSymbol".

optional

Default Value:0

The amount of rotation applied to the text symbol, measured in degrees, around the geometry.

The font family name of the font (e.g. Comic Sans). The possible values are dependent upon if you working with a MapView or SceneView. See the Labeling guide page for detailed explanation. Unsupported fonts will fall back to Arial Unicode MS Regular in MapView and sans-serif in SceneView.

optional

The style name for the font family.

Possible Values:"Regular"|"Bold"|"Italic"

optional

The size of the halo (in points) that extends beyond the symbol shape.

optional

The polygon symbol that is used to draw the halo for a text symbol.

The size of the text in points.

optional

Default Value:"Left"

The alignment type used to align the text to the geometry horizontally. Affects which side of a point geometry the point text is drawn or which end of a line it is drawn close to. Commonly used to define how stacked text appears.

Possible Values:"Left"|"Right"|"Center"

optional

Default Value:0

The X offset in points.

optional

Default Value:0

The Y offset in points.

optional

Default Value:false

A value indicating whether to draw the text with a strike through it.

The polygon symbol that is used to draw the glyphs of the text. Only CIMSolidFill symbol layers are supported.

optional

A value indicating whether to draw the text with an underline.

optional

Default Value:"Bottom"

The vertical alignment of the text.

Possible Values:"Top"|"Center"|"Baseline"|"Bottom"

optional

Since 4.26 The background of the text.

See also

CIMMarkerGraphic.symbol

CIMVectorMarker Type Definition CIMVectorMarker Object

Represents a vector marker which can represent vector graphics. It's constructed from MarkerGraphics which are geometries and symbols used as building blocks for the marker.

The following image shows a CIMPointSymbol with a CIMVectorMarker symbol layer (as defined in the code snippet below).

{
   "type": "CIMVectorMarker",
   "enable": true,
   "size": 40,
   "frame": {
     "xmin": 0,
     "ymin": 0,
     "xmax": 17,
     "ymax": 17
   },
   "markerGraphics": [
     {
       "type": "CIMMarkerGraphic",
       "geometry": {
         "rings": [
            [
              [4.25, 1.31],
              [0, 8.51],
              [4.25, 15.66],
              [12.75, 15.66 ],
              [17, 8.51],
              [12.75, 1.31],
              [4.25,1.31]
            ]
         ]
       },
       "symbol": {
         "type": "CIMPolygonSymbol",
         "symbolLayers": [
            {
              "type": "CIMSolidFill",
              "enable": true,
              "color": [214, 0, 0, 255]
            }
         ]
       }
     }
   ],
   "scaleSymbolsProportionally": true,
   "respectFrame": true
}

Properties

The value is always "CIMVectorMarker".

optional

The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.

A value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.

optional

Default Value:false

optional

The primitive name of the symbol. Used when setting a PrimitiveOverride.

The height of the marker in points. Modifying size changes the marker's height to the specified size. The width will be updated proportionally.

optional

The specified location where all transformation property operations originate.

Specification

optional

The x coordinate of the anchor point, measured along the east/west axis.

optional

The y coordinate of the anchor point, measured along the north/south axis.

optional

Default Value:"Relative"

A value which specifies if the anchor point location is considered a percentage of the size or as an absolute distance.

Possible Values:"Relative"|"Absolute"

optional

Default Value:0

The distance that the image is offset in the horizontal direction in points.

optional

Default Value:0

The distance that the image is offset in the vertical direction in points.

optional

Default Value:false

A value indicating whether the rotation is applied clockwise or counterclockwise to the marker layer.

optional

Default Value:0

The angle of the image within the fill.

optional

Determines how markers are placed along a line or within a polygon.

The outer boundary of the entire vector marker.

The vector graphics that define the shape of the marker. The marker graphics are typically rendered from bottom to top, so the first marker graphic will be displayed at the bottom, and the last marker graphic will be displayed on top. See CIMMarkerGraphic for limitations with FeatureLayer.

optional

Default Value:false

A value indicating whether the strokes and or fills of a marker are scaled proportionally when the symbol size is changed. When enabled, the strokes for the outline or fill of the polygon symbol used to draw the marker will be scaled proportionally with changes to the symbol size. If this property is not enabled, then the stroke will draw with the specified width regardless of the marker size.

optional

Default Value:true

A value indicating whether the frame of the vector marker should be honored when drawing the marker.

optional

Since 4.31 The animations applied to the vector marker.

See also

CIMSymbolLayer

Envelope Type Definition Envelope Object

An envelope is a rectangle defined by a range of values for each coordinate and attribute.

Properties

The minimum X value in the area of the envelope.

The maximum X value in the area of the envelope.

The minimum Y value in the area of the envelope.

The maximum Y value in the area of the envelope.

: Represents a marker placement.

PrimitiveOverride Type Definition PrimitiveOverride Object

Represents a primitive override. A primitive override allows you to use an Arcade expression to dynamically change a property on a symbol layer based on data values. This is used with the Arcade visualization profile, which gives access to $feature and $view.scale profile variables. This allows you to override symbol layer properties based on a feature attribute at the current scale of the view.

Using $view.scale: The following JSON snippet shows a primitive override on the size property for a symbol layer with the primitiveName "symbol-layer-1". Based on the Arcade expression, the size of the symbol layer will update as the view scale changes.

{
   type: "CIMPrimitiveOverride",
   primitiveName: "symbol-layer-1", // the name of the symbol layer we want to override
   propertyName: "Size", // the name of the property on the symbol layer we want to override
   valueExpressionInfo: {
     type: "CIMExpressionInfo",
     title: "Size override",
     // the pixel size at the largest scale
     // 42 represents the pixel size of the
     // circles at the view's largest scale (1:2,311,161)
     expression: "42 * 2311161 / $view.scale",
     returnType: "Default"
   }
}

Using $feature: The following JSON snippet shows a primitive override on the textString property of a markerGraphic with the primitive name "textGraphic". The value of textGraphic will be based on the value of NAME for each feature.

{
 type: "CIMPrimitiveOverride",
 primitiveName: "textGraphic",
 propertyName: "TextString",
 valueExpressionInfo: {
   type: "CIMExpressionInfo",
   title: "Custom",
   expression: "$feature.NAME", // value of textString will be based on the NAME of the feature
   returnType: "Default"
 }
}

Properties

optional

The value is always "CIMPrimitiveOverride".

The primitive name this override applies to.

The name of the property in the primitive this override applies to (e.g. "Size"). This value must be in Proper case (e.g. "Size" not "size").

optional

Contains the Arcade expression that returns a value to be applied to the property on the primitive.

Specification

The value is always "CIMExpressionInfo".

optional

The human readable text that describes the expression.

An Arcade expression following the specification defined by the Arcade Visualization Profile. Expressions in primitive overrides may reference field values using the $feature profile variable and must return a number or a string. The value returned from this expression represents the value override for the specified propertyName. For example, when overriding a symbol layer's color, you must return a string representing a color (e.g. "rgb(255,255,255)", "white", or "#ffffff"). When overriding a size, you must return a number representing the new size of the symbol layer.

optional

The name of the expression.

optional

The return type of the expression. "Default" means the return type of the expression is determined by the consumer using the expression.

Possible Values:"Default"|"String"|"Numeric"

See also

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