Easily Obtain Spatial Data and Make Better Maps

One of the remaining pain points in making beautiful maps via packages like 'rayshader' is both obtaining and processing spatial data to build from. 'spacey' aims to make it easier to obtain and use this data for locations within the United States, providing utilities to download 'USGS' and 'ESRI' geospatial data and quickly turn it into maps.


Reference manual

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0.1.1 by Michael Mahoney, 4 months ago

https://github.com/mikemahoney218/spacey, https://mikemahoney218.github.io/spacey/

Report a bug at https://github.com/mikemahoney218/spacey/issues

Browse source code at https://github.com/cran/spacey

Authors: Michael Mahoney [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports httr, raster, rayshader, magrittr, png, jsonlite, rgdal

Suggests testthat, covr, knitr, rmarkdown, future, pkgload

See at CRAN