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You can easily visualize your 'sf' polygons or data.frame with h3 address. While 'leaflet' package is too raw for data analysis, this package can save data analysts' efforts & time with pre-set visualize options.
Version: | 2.0.4 |
Depends: | R (≥ 3.6.0) |
Imports: | sf (≥ 0.9-0), leaflet (≥ 2.0.0), htmltools (≥ 0.4.0), dplyr (≥ 0.8.3), devtools (≥ 2.2.0), h3jsr (≥ 1.3.0), utils |
Published: | 2022-10-06 |
DOI: | 10.32614/CRAN.package.valuemap |
Author: | Huncheol Ha [aut, cre] |
Maintainer: | Huncheol Ha <hancury at gmail.com> |
BugReports: | https://github.com/Curycu/valuemap/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/Curycu/valuemap |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | valuemap results |
Reference manual: | valuemap.pdf |
Package source: | valuemap_2.0.4.tar.gz |
Windows binaries: | r-devel: valuemap_2.0.4.zip, r-release: valuemap_2.0.4.zip, r-oldrel: valuemap_2.0.4.zip |
macOS binaries: | r-release (arm64): valuemap_2.0.4.tgz, r-oldrel (arm64): valuemap_2.0.4.tgz, r-release (x86_64): valuemap_2.0.4.tgz, r-oldrel (x86_64): valuemap_2.0.4.tgz |
Old sources: | valuemap archive |
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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.
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