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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("spacey")

0.1.1 by Michael Mahoney, 6 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