Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://developers.arcgis.com/javascript/latest/sample-code/featurereduction-cluster/index.html below:

Intro to clustering | Sample Code | ArcGIS Maps SDK for JavaScript 4.33

This sample demonstrates how to enable clustering on a GeoJSONLayer. Clustering is a method of reducing features in a FeatureLayer, CSVLayer, GeoJSONLayer, WFSLayer, or OGCFeatureLayer by grouping them based on their spatial proximity to one another. Typically, clusters are proportionally sized based on the number of features within each cluster.

Clustering is configured in the featureReduction property of the layer. You can enable clustering with a default configuration with minimal code by setting the type to cluster.

Use dark colors for code blocks Copy

1
2
3
layer.featureReduction = {
  type: "cluster",
};

The feature reduction property gives you control over many other cluster properties. The clusterRadius defines area of influence that determines each cluster's region for including features. You may also define popupTemplates and labels for clusters that summarize the features comprised by the cluster.

Configure clustering

Use dark colors for code blocks Copy

56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
      const clusterConfig = {
        type: "cluster",
        clusterRadius: "100px",
        // {cluster_count} is an aggregate field containing
        // the number of features comprised by the cluster
        popupTemplate: {
          title: "Cluster summary",
          content: "This cluster represents {cluster_count} earthquakes.",
          fieldInfos: [
            {
              fieldName: "cluster_count",
              format: {
                places: 0,
                digitSeparator: true,
              },
            },
          ],
        },
        clusterMinSize: "24px",
        clusterMaxSize: "60px",
        labelingInfo: [
          {
            deconflictionStrategy: "none",
            labelExpressionInfo: {
              expression: "Text($feature.cluster_count, '#,###')",
            },
            symbol: {
              type: "text",
              color: "#004a5d",
              font: {
                weight: "bold",
                family: "Noto Sans",
                size: "12px",
              },
            },
            labelPlacement: "center-center",
          },
        ],
      };

• Turn off label deconfliction when labeling clusters with a count in the center of the cluster. If label placement is outside the cluster, keep label deconfliction enabled.
• Increase the clusterMinSize to fit labels inside smaller clusters (16pt is a good starting point).
• For larger layers, format the cluster count in the label with either a rounded value or a meaningful abbreviated value (e.g. 10k instead of 10000). See the Clustering - generate suggested configuration for an example of this.

Clustering can only be configured in a MapView.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4