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https://github.com/nowosad/spdatalarge
R package with large datasets for spatial analysis
https://github.com/nowosad/spdatalarge
r raster rstats sf spatial spatial-data
Last synced: 9 days ago
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R package with large datasets for spatial analysis
- Host: GitHub
- URL: https://github.com/nowosad/spdatalarge
- Owner: Nowosad
- Created: 2017-01-24T18:10:22.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2023-10-04T18:17:59.000Z (about 1 year ago)
- Last Synced: 2024-06-11T16:07:32.744Z (5 months ago)
- Topics: r, raster, rstats, sf, spatial, spatial-data
- Language: R
- Homepage: https://jakubnowosad.com/spDataLarge
- Size: 61 MB
- Stars: 24
- Watchers: 3
- Forks: 12
- Open Issues: 1
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# spDataLarge
[![GitHub action build
status](https://github.com/Nowosad/spDataLarge/workflows/pkgdown/badge.svg)](https://github.com/Nowosad/spDataLarge/actions)
Large datasets for spatial analysis.
The data from this package could be retrieved using the **spData** package.## Installation
There are three possible options:
1. Installation of **spDataLarge** using its r-universe location:
```r
install.packages("spDataLarge", repos = "https://geocompr.r-universe.dev")
```2. Installation of all of the required packages used in [the Geocomputation with R book](https://geocompr.github.io/) using:
```r
devtools::install_github("geocompr/geocompkg")
```3. Installation of **spDataLarge** using its drat location:
```r
install.packages("spDataLarge", repos = "https://nowosad.github.io/drat/", type = "source")
```