Package: spDataLarge 2.1.1
spDataLarge: Large datasets for spatial analysis
Large datasets for spatial analysis. The data from this package could be retrived using the spData package.
Authors:
spDataLarge_2.1.1.tar.gz
spDataLarge_2.1.1.zip(r-4.5)spDataLarge_2.1.1.zip(r-4.4)spDataLarge_2.1.1.zip(r-4.3)
spDataLarge_2.1.1.tgz(r-4.4-any)spDataLarge_2.1.1.tgz(r-4.3-any)
spDataLarge_2.1.1.tar.gz(r-4.5-noble)spDataLarge_2.1.1.tar.gz(r-4.4-noble)
spDataLarge_2.1.1.tgz(r-4.4-emscripten)spDataLarge_2.1.1.tgz(r-4.3-emscripten)
spDataLarge.pdf |spDataLarge.html✨
spDataLarge/json (API)
| # Install 'spDataLarge' in R: |
| install.packages('spDataLarge', repos = c('https://nowosad.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nowosad/spdatalarge/issues
Datasets:
- bristol_od - Datasets providing a snapshot of Bristol's transport system
- bristol_region - Datasets providing a snapshot of Bristol's transport system
- bristol_stations - Datasets providing a snapshot of Bristol's transport system
- bristol_ttwa - Datasets providing a snapshot of Bristol's transport system
- bristol_ways - Datasets providing a snapshot of Bristol's transport system
- bristol_zones - Datasets providing a snapshot of Bristol's transport system
- census_de - Datasets providing building blocks for a location analysis
- comm - Community matrix of the Mt. Mongón
- london_streets - Streets of london downloaded from OSM
- lsl - Landslide dataset from Southern Ecuador
- metro_names - Datasets providing building blocks for a location analysis
- pol_pres15 - Polish election data 2015
- random_points - Random points.
- shops - Datasets providing building blocks for a location analysis
- study_area - Mask of the study area on the Mount Mongón
- study_mask - Landslide dataset from Southern Ecuador
- zion_points - Point vector data
Last updated 12 months agofrom:7222dad7c6. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 31 2024 |
| R-4.5-win | NOTE | Aug 31 2024 |
| R-4.5-linux | NOTE | Aug 31 2024 |
| R-4.4-win | NOTE | Aug 31 2024 |
| R-4.4-mac | NOTE | Aug 31 2024 |
| R-4.3-win | NOTE | Aug 31 2024 |
| R-4.3-mac | NOTE | Aug 31 2024 |
Exports:
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Datasets providing a snapshot of Bristol's transport system | bristol_cents bristol_od bristol_region bristol_stations bristol_ttwa bristol_ways bristol_zones |
| Datasets providing building blocks for a location analysis | census_de metro_names shops |
| Community matrix of the Mt. Mongón | comm |
| Digital elevation model (DEM) of the Mongón study area. | dem.tif |
| Environmental predictors | ep.tif |
| Dataset landsat | landsat.tif |
| Streets of london downloaded from OSM | london_streets |
| Landslide dataset from Southern Ecuador | lsl study_mask |
| Normalized difference vegetation index for the Mongón study area. | ndvi.tif |
| Dataset nlcd | nlcd.tif |
| Dataset nlcd2011 | nlcd2011.tif |
| New Zeleand elevation raster data | nz_elev.tif |
| Polish election data 2015 | pol_pres15 |
| Random points. | random_points |
| Dataset srtm | srtm.tif |
| Mask of the study area on the Mount Mongón | study_area |
| Terrain attributes of the landslide dataset from Southern Ecuador | ta.tif |
| Point vector data | zion_points |
| Point vector data | zion_points.gpkg |
| Dataset zion | zion.gpkg |
