Datasets for spatial analysis

• alaska - Alaska multipolygon
• aggregating_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 congruence
• cycle_hire - Cycle hire points in London
• cycle_hire_osm - Cycle hire points in London from OSM
• hawaii - Hawaii multipolygon
• incongruent - See congruent
• lnd - The boroughs of London
• nz - The regions of New Zealand
• nz_height - High points in New Zealand
• seine - Small river network in France
• urban_agglomerations - Major urban areas worldwide
• us_states - US states polygons
• world - World country polygons

• auckland - Marshall’s infant mortality in Auckland dataset
• elect80 - 1980 Presidential election results
• house - Lucas county OH housing
• SplashDams - Data for Splash Dams in western Oregon
• state.vbm - US State Visibility Based Map

• afcon - Spatial patterns of conflict in Africa 1966-78
• boston - Boston Housing Data
• columbus - Columbus OH spatial analysis data set
• eire - Eire data sets
• nc.sids - North Carolina SIDS data
• NY_data - New York leukemia data
• used.cars - US 1960 used car prices

• elev - Small raster dataset representing elevation values
• grain - Small raster dataset representing grain size classes

• baltimore - House sales prices, Baltimore, MD 1978
• coffee_data - World coffee production statistics by country, 2016 and 2017
• getisord - Getis-Ord remote sensing example data
• hopkins - Hopkins burnt savanna herb remains
• huddersfield - Prevalence of respiratory symptoms
• jenks71 - Illinois 1959 county gross farm product value per acre
• us_states_df - Selected American Community Survey (ACS) data
• wheat - Mercer and Hall wheat yield data
• worldbank_df - Selected World Bank data

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.

Feel free to submit issues and enhancement requests.