Datasets for spatial analysis
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")
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.