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 - See congruent
congruent - Sample of UK administrative zones that have shared
borders with aggregating_zones (incongruent does 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 - See congruent
lnd - 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 polygonsauckland - 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 Mapafcon - 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 priceselev.tif - Small raster dataset representing elevation valuesgrain.tif - Small raster dataset representing grain size classesbaltimore - 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 datadepmunic and properties - 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")
install.packages("spData", repos = c('https://nowosad.r-universe.dev', 'https://cloud.r-project.org'))
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.