Datasets for spatial analysis (from version 2.3.4, ESRI Shapefile datasets have been dropped, use the provided GeoPackage files instead)
alaska- Alaska multipolygonaggregating_zones- Seecongruentcongruent- Sample of UK administrative zones that have shared borders withaggregating_zones(incongruentdoes not have shared borders) for teaching the concept of spatial congruencecycle_hire- Cycle hire points in Londoncycle_hire_osm- Cycle hire points in London from OSMhawaii- Hawaii multipolygonincongruent- Seecongruentlnd- The boroughs of Londonnz- The regions of New Zealandnz_height- High points in New Zealandseine- Small river network in Franceurban_agglomerations- Major urban areas worldwideus_states- US states polygonsworld- World country polygons
auckland- Marshall’s infant mortality in Auckland datasetelect80- 1980 Presidential election resultshouse- Lucas county OH housingSplashDams- Data for Splash Dams in western Oregonstate.vbm- US State Visibility Based Map
afcon- Spatial patterns of conflict in Africa 1966-78boston- Boston Housing Datacolumbus- Columbus OH spatial analysis data seteire- Eire data setsnc.sids- North Carolina SIDS dataNY_data- New York leukemia dataused.cars- US 1960 used car prices
elev.tif- Small raster dataset representing elevation valuesgrain.tif- Small raster dataset representing grain size classes
baltimore- House sales prices, Baltimore, MD 1978coffee_data- World coffee production statistics by country, 2016 and 2017getisord- Getis-Ord remote sensing example datahopkins- Hopkins burnt savanna herb remainshuddersfield- Prevalence of respiratory symptomsjenks71- Illinois 1959 county gross farm product value per acreus_states_df- Selected American Community Survey (ACS) datawheat- Mercer and Hall wheat yield dataworldbank_df- Selected World Bank datadepmunicandproperties- Athens properties data set from HSAR
Get the released version from CRAN:
install.packages("spData")Get the development version from github:
devtools::install_github("nowosad/spData")This package interacts with data available through the spDataLarge package, which is available in a ‘drat’ repository. To access this data package, run:
install.packages("spDataLarge", repos = "https://nowosad.github.io/drat/", type = "source")The size of the spDataLarge package is approximately 20 MB. Learn more about the spDataLarge package at https://github.com/Nowosad/spDataLarge.