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biscale 1.0.0

• New features
  • bi_class() now accepts factors for one or both of the x and y variables, allowing more flexibility for how breaks are calculated. If you want finer grained control over your categories, calculate them ahead of time and then pass the factors on to bi_class().
  • bi_pal(), bi_legend(), bi_scale_fill(), and bi_scale_color() functions all support four-by-four bivariate maps when dim = 4. Note that the original five palettes do not support four-by-four mapping, but very close approximations (e.g. DkBlue2 instead of DkBlue) are now provided in their place. The legacy palettes are all still included in the package.
  • The number of built-in palettes has been greatly expanded, though there are changes from v0.3.0, which was never released on CRAN.
  • Palettes can now be flipped and rotated (or both!), so that each built-in palette can be displayed in four different configurations. This includes the built-in palettes and any custom palettes that are four-by-four or smaller. If you want to flip or rotate larger palettes, you should make those decisions while creating the palette itself.
  • The workflow for allowing custom palettes has been overhauled to simply the process - users can provide a named vector for the pal arguments in the bi_pal(), bi_legend(), bi_scale_fill(), and bi_scale_color() functions. All of these functions will validate your input to ensure that it maps correctly.
  • bi_class() can be used to calculate bivariate breaks for maps larger than four-by-four, though it will return a warning reminding you that these maps are hard to read and that biscale does not provide palettes for larger maps. Instead, you should provide a custom palette.
  • bi_class_breaks() can be used with bi_legend() to facilitate optionally adding break values to your legends. Like bi_class(), this new function accepts both continuous and pre-made factors.
• Breaking changes
  • R version 3.4 is no longer supported - please use at least R version 3.5
    • There is no default supplied for bi_class()’s style argument since bi_class() now accepts factors as well. Users that relied on the default behavior of bi_class() will now receive an error asking you to specify a style for calculating breaks.
• Deprecated functions
  • bi_pal_manual() now returns a warning that it has been deprecated and will be removed in a later release of biscale (planned for the end of 2022). Please update your workflows to use the new approach to generating custom palettes.
• Internal improvements
  • sf is no longer a required dependency and is now suggested - this returns the package to its original release in terms of suggesting sf
  • cowplot is now a suggested dependency
  • All functions have been rewritten to reduce dependencies and duplicative code
• Documentation improvements
  • Documentation updates have been made, including the addition of a number of new examples and vignettes. These include detailed articles on bivariate palettes, working with breaks and legends, and creating bivariate maps with raster data.

biscale 0.3.0

• Add 10 new palettes for a total of 15 native palettes.
• Add options to flip and/or rotate palettes
• Add option to add padding/border to legend
• Add vignette for palette use: see palettes

biscale 0.2.0

• Add sf as a required instead of a suggested dependency. This resolves issues that appeared with newer releases of the tibble packages.
• Drop support for R 3.3 because CI tests now fail on this release. Minimum release of R is now 3.4.
• Add bi_scale_color() as a compliment to existing functionality. This adds the ability to create bivariate point and line maps as well.
• Add bi_pal_custom() to support custom palettes.
• Additional confirmatory CI testing for R 3.4 added to Linux (now the xenial distribution), macOS, and Windows.

biscale 0.1.2

• Add non-standard evaluation to bi_legend()
• Fix typos in README.Rmd, index.Rmd, and in bi_class.R
• Remove examples of 2x2 palettes in the bi_pal() help file to address NOTE on CRAN checks (only appeared for Solaris)
• Test biscale with new release of ggplot2 and the cowplot release candidate - no problems detected

biscale 0.1.1

• CRAN release version
• Add installation instructions and Zenodo badge to README and pkgdown site
• Add hex logo to README and pkgdown site
• Add cran-comments.md

biscale 0.1.0

• Added a NEWS.md file to track changes to the package.
• Develop bivariate mapping functionality (bi_ functions)
• Add example data set (stl_race_income data)
• Implement unit testing with both Travis and Appveyor as well as Code Coverage tracking
• Add .github community files
• Add LICENSE
• Add vignette for getting started (biscale)
• Add pkgdown site functionality

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.