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

Showing content from http://cran.rstudio.com/web/packages/rJava/../matchingMarkets/../ggplot2/../usmap/news/news.html below:

NEWS

• Add data_year parameter to fips(), fips_info(), map_with_data(), plot_usmap(), and us_map(), see Issue #110.
  • Allows user to select the year for which to plot US map.
  • This will allow the user to match the map that is provided to the data they are using.
  • To start with, 2021, 2022, 2023, and 2024 maps are included.
  • Going forward, each year will be added to usmapdata (usmap’s data repository) and previous years can be accessed with this parameter.
  • usmapdata v0.4.0 or later is required to use this parameter.
  • If the value provided via data_year is not available, the package will select the next year for which data exists.
    • For example, if data sets 2022 and 2023 are available and the user calls us_map(data_year = 2019), 2022 will be used.
    • A warning is presented when this occurs to alert the user.
  • Further reading on the impetus for this change: major changes made to Connecticut counties in 2023.
  • The old Connecticut counties are available in the 2021 data, 2022 and forward use the new planning regions.

• Update package author email.

Released Thursday, March 21, 2024.

• Add citation information to README, see Issue #86.
• Update map theme to work with new legend behavior in ggplot2 3.5.0.
• Update provided population and poverty (county & state) data sets, see Issue #88.
  • Previous data sets from 2015 and 2014, respectively have been updated to 2022 and 2021 versions, respectively.
  • The main change (besides numerical values) is that Connecticut now has the correct FIPS codes in the 2022 county population data set. See this Federal Register document for more information. The 2021 county data does not include CT updates yet since the new FIPS codes were not made effective until 2022. Poverty data for 2022 is not available yet so the most recently available data from 2021 is included for now.

• Replace size with linewidth in plot_usmap() documentation, see Issue #89.

• Internal usmapdata functions are used for data transformation (i.e. usmap_transform()) values for consistency.
  • This allows the same values used to create the map to be used when transforming external data.
  • Values will now only have to be updated in one place.
  • usmapdata 0.2.2 is now a required dependency because of this change.
• Continue sf-based map data file migration.
  • Usage of the as_sf parameter in usmapdata function calls has been removed.
  • The parameter will be removed from usmapdata functions in the future.

Released Saturday, January 20, 2024.

This is a major new release for usmap. The data has been modernized to be a simple features (sf) object. This will allow for much greater flexibility in the type of data that can be portrayed on the US map. us_map(), plot_usmap(), and usmap_transform() have been updated to work with these new formats. See the examples in the vignettes and README for more information.

• Migrate to new usmapdata 0.2.0 sf-based map data files.
  • Map data produced by us_map() is now returned as an sf object instead of a standard data frame.
  • Allows for further flexibility in manipulation, easier plotting, and reduced file sizes.
  • There should be no visible changes to existing usmap functionality.
  • If something doesn’t look right, please open an issue.
• Change the output of usmap_transform() in accordance with the sf change mentioned above.
  • The output data frame now replaces the lat/lon columns with a single geometry column with the transformed points and can be plotted using ggplot2::geom_sf().
  • Review the included examples and advanced-mapping vignette for more details.
• usmap_transform() now accepts sf objects and automatically transforms its geometry column to the projection used by this package.
  • It is now possible to add any geographical features to the plotted map such as rivers, roads, topographical data, etc. using usmap_transform() before plotting with ggplot2::geom_sf(), see Issue #12.
  • See the provided vignettes and examples for more information.
  • Input can now also be in any coordinate reference system, if it is not standard longitude/latitude, it can be specified with the crs parameter.
• Add usrivers dataset featuring major US rivers.
  • The dataset is provided in an sf object and is ready to be transformed with usmap_transform() and plotted with plot_usmap() + ggplot2::geom_sf().
• Add visual snapshot tests for more resilient plots, see Issue #80.
• Add state abbreviation (abbr) column to citypop data set.
• Update and standardize documentation throughout the page.
  • Includes updates to formatting, links, and language.
• Rename vignettes to make them easier to find and read in order.

• plot_usmap() warnings have been cleaned up, including a defunct warning that didn’t make sense.

• output_names is no longer required as a parameter to usmap_transform().
  • It continues to exist for compatibility but produces a warning and may be removed in a future version of usmap.
  • usmap_transform() will output its transformation using the sf default of "geometry" as the column name.

Released Monday, December 11, 2023.

• Replace local state and county FIPS files with usmapdata::fips_data().
  • Single source of truth for this data is now housed in usmapdata.
  • Data will be updated in sync with shapefile updates.

• FIPS file change resolves issue with Valdez-Cordova Census Area in Alaska, see Issue #72.

• Resolve all code-linting warnings.
• Increase test coverage to 100%.

Released Saturday, October 21, 2023.

• Update package author email and website.

Released Tuesday, June 13, 2023.

• Replace retired packages maptools and rgdal with sp and sf, see Issue #57 and Issue #70.
  • Special thanks @rsbivand.

Released Saturday, November 12, 2022.

• Fix failing plot_usmap tests, see Issue #58.
• Fix aes_string and size deprecation in ggplot2, see Issue #59.

Released Sunday, February 27, 2022.

• Add input_names and output_names parameters to usmap_transform, see Issue #33.
• Add sortAndRemoveDuplicates parameter to fips_info, see Issue #47.
  • The default (FALSE) value changes existing behavior, to retain existing behavior, change the parameter value to TRUE.

• Improve map resolution.
  • More polygons are shown, this has a marginal increase on the data set file sizes but it is negligible.
• Add shape file update history, see Issue #30.
• Extract map data frame to external usmapdata package to reduce usmap package size, see Issue #39.
  • All existing functions (including us_map()) should continue to work as usual.
• Add data format examples for plot_usmap to “Mapping” vignette, see Issue #42.

• Fix CRS warnings, see Issue #40.
• Fix plot_usmap() issue when provided data has "values" column, see Issue #48 and this Stack Overflow question.

Released Wednesday, October 7, 2020.

• Update links in documentation.

Released Wednesday, October 7, 2020.

• New website for the package: https://usmap.dev
  • Lightweight landing page containing useful information, links, and examples of usmap usage.
• state can now be omitted when using fips(). In this case, all available FIPS codes are returned, sorted by state abbreviation, see Issue #28.
• fips can now be omitted when using fips_info(). In this case, all available states are returned, sorted by state abbreviation, see Issue #28.
• Fix duplicate coordinates from being removed during usmap_transform (if value columns differ), see Issue #32.
• Prevent warnings introduced by ggplot2 v3.3.0, see Issue #35.
• Set minimum R version to 3.5.0. Versions lower than this do not support the latest version of the rgdal package.

Released Friday, September 13, 2019.

• Ability to include county name labels on county maps, see Issue #14.
  • They currently work the same as state labels except they include the full county name (excluding the word “County”).
• Ability to pass ggplot2::geom_polygon() parameters to plot_usmap(), see Issue #15.
  • This is a breaking change and removes the lines parameter. The previous defaults of color="black", fill="white", and size=0.4 are maintained and will be used for any of those parameters that are omitted.
  • Refer to the ggplot2::geom_polygon() documentation for more information.
  • The following aesthetics are supported: alpha, colour/color, fill, linetype, size
  • This feature provides more direct control over the appearance of plots.
• Ability to exclude counties and states with new exclude parameter in us_map, map_with_data, and plot_usmap, see Issue #19.
• New function (usmap_transform) to transform longitude/latitude point data frames into coordinate reference system that matches the plotted map, see Issue #21.
  • Also includes usmap_crs() to easily access the coordinate reference system used by the package.

• In the data frames provided by us_map(), long and lat have been renamed to x and y, respectively, see Issue #16.
  • This should not affect the behavior of plot_usmap() but will be a breaking change for any code that relies on us_map().
• Added contributing guidelines and templates, see Issue #24.
  • These can be see in the .github folder.

Released Sunday, September 16, 2018.

• Ability to include state abbreviation labels in state maps, see Issue #9.
  • e.g. plot_usmap(labels = TRUE)
• Add US Census Bureau regional divisions as constants for quick plotting of certain regions.
  • e.g. plot_usmap(include = .northeast_region)
  • The provided regions and divisions can be seen on this map by the US Census Bureau.
• Allow ability to include only certain states while viewing county map, see Issue #11.
  • e.g. us_map("counties", include = "TX") or plot_usmap("counties", include = c("AZ", "NM"))

• Vectorize counties in fips, see Issue #10.
  • e.g. fips("NJ", c("Bergen", "Hudson"))
• Allow all columns in the data frame that’s passed to map_with_data() or plot_usmap() to be preserved.

• Add Kusilvak Census Area (FIPS code 02158), replaces Wade Hampton Census Area (FIPS code 02270).

Released Sunday, June 3, 2018.

• Update shape files to 2017 versions.
• Improvements to fips and fips_info:
  • Vectorization support (e.g. enter multiple states in fips to receive a vector of corresponding FIPS codes)
  • e.g. fips(c("AK", "AL")) or fips(c("Alaska", "Alabama"))
  • Mixed abbreviations and full names are also supported: fips(c("AK", "Alabama"))
  • Improved warning and error messages.
• Allow data to be specified by state abbreviation or full name in plot_usmap and map_with_data (instead of just by FIPS code).
  • The data frame passed to plot_usmap or map_with_data (via the data = parameter), can now be a two column data frame with columns “fips” and “values” or “state” and “values”.

Released Tuesday, August 15, 2017.

• Standardize documentation language.
• Improve descriptiveness of error messages and warnings. ### Bug Fixes
• Allow data passed to map_with_data and plot_usmap to contain FIPS codes with missing leading zeros.
  • This usually occurs when the codes are read as numeric from a .csv file.

Released Saturday, April 29, 2017.

• Add map_with_data function for adding user-defined data to map data.
• Add ability to plot map with data automatically (utilizes new map_with_data function).

Released Sunday, January 29, 2017.

• First release

• Retrieve US map data frame for merging with data and plotting
• Lookup FIPS codes for states and counties (reverse-lookup as well)
• Map plotting convenience method (uses ggplot2)

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