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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.

Version: 2.3.3
Depends: R (≥ 3.3.0)
Imports: sp
Suggests: foreign, sf (≥ 0.9-1), spDataLarge (≥ 0.4.0), spdep, spatialreg
Published: 2024-09-02
DOI: 10.32614/CRAN.package.spData
Author: Roger Bivand ORCID iD [aut], Jakub Nowosad ORCID iD [aut, cre], Robin Lovelace ORCID iD [aut], Angelos Mimis [ctb], 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://jakubnowosad.com/spData/
NeedsCompilation: no
Additional_repositories: https://jakubnowosad.com/drat
Materials: README NEWS
CRAN checks: spData results

Documentation:

Reference manual: spData.pdf

Downloads:

Package source: spData_2.3.3.tar.gz
Windows binaries: r-devel: spData_2.3.3.zip, r-release: spData_2.3.3.zip, r-oldrel: spData_2.3.3.zip
macOS binaries: r-release (arm64): spData_2.3.3.tgz, r-oldrel (arm64): spData_2.3.3.tgz, r-release (x86_64): spData_2.3.3.tgz, r-oldrel (x86_64): spData_2.3.3.tgz
Old sources: spData archive

Reverse dependencies:

Reverse depends: bispdep, spatialreg, spdep, spgwr
Reverse imports: GWnnegPCA, MainExistingDatasets, oceanic, PopGenHelpR, scgwr, sphet
Reverse suggests: apsimx, bayesTFR, classInt, clustTMB, echelon, epiR, geonetwork, GWmodel, R2BayesX, rayrender, rcartocolor, rflexscan, RPyGeo, sdsfun, sqlhelper, TeachingDemos, tilemaps, varycoef

Linking:

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

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.