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R package with large datasets for spatial analysis

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@Nowosad
Nowosad updates version after RQGIS data
4c5795f Jul 17, 2020
updates version after RQGIS data
4c5795f

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add rqgis data and description
Jul 10, 2020
data-raw
passes R CMD check (note for marked UTF8 strings)
Apr 4, 2019
data
Merge pull request #21 from jannes-m/rqgis_data
Jul 17, 2020
inst
london_streets added, landsat single bands removed
Jun 13, 2018
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Merge pull request #21 from jannes-m/rqgis_data
Jul 17, 2020
.Rbuildignore
check ghactions
Apr 14, 2020
.gitignore
Reproducibility improvement - od csv file
Nov 30, 2018
.travis.yml
hides spDataLarge to drat deploy (now it is inside of the drat repo)
Apr 14, 2020
DESCRIPTION
updates version after RQGIS data
Jul 17, 2020
NAMESPACE
updates version after RQGIS data
Jul 17, 2020
README.md
fixes readme
Apr 19, 2020
deploy.sh
tests updated deploy
Apr 14, 2020
spDataLarge.Rproj
drat prep
Aug 19, 2017

README.md

spDataLarge

Build Status

Large datasets for spatial analysis. The data from this package could be retrived using the spData package.

Installation

There are three possible options:

  1. Installation of all of the required packages using:
devtools::install_github("geocompr/geocompkg")
  1. Installation of spDataLarge after loading spData:
library(spData)
# and next
install.packages("spDataLarge")
  1. Installation of spDataLarge using drat location:
install.packages("spDataLarge", repos = "https://nowosad.github.io/drat/", type = "source")

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R package with large datasets for spatial analysis

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r spatial spatial-data sf raster

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