spData: Datasets for Spatial Analysis

Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.

Depends: R (≥ 3.3.0)
Suggests: foreign, maptools, raster, rgdal, sf, sp, spDataLarge (≥, spdep
Published: 2018-09-15
Author: Roger Bivand ORCID iD [aut], Jakub Nowosad ORCID iD [aut, cre], Robin Lovelace ORCID iD [aut], Mark Monmonier [ctb] (author of the state.vbm dataset), Greg Snow [ctb] (author of the state.vbm dataset)
Maintainer: Jakub Nowosad <nowosad.jakub at gmail.com>
BugReports: https://github.com/Nowosad/spData/issues
License: CC0
URL: https://github.com/Nowosad/spData
NeedsCompilation: no
Materials: README
CRAN checks: spData results


Reference manual: spData.pdf
Package source: spData_0.2.9.4.tar.gz
Windows binaries: r-devel: spData_0.2.9.4.zip, r-release: spData_0.2.9.4.zip, r-oldrel: spData_0.2.9.4.zip
OS X binaries: r-release: spData_0.2.9.4.tgz, r-oldrel: spData_0.2.9.4.tgz
Old sources: spData archive

Reverse dependencies:

Reverse depends: classInt, spdep, spgwr
Reverse suggests: R2BayesX, rcartocolor


Please use the canonical form https://CRAN.R-project.org/package=spData to link to this page.