https://github.com/ghislainv/gecevar

:package: :earth_americas: :mountain: :sunny: :cloud: :seedling: Get climatic and other environmental variables
https://github.com/ghislainv/gecevar

climate environment-variables r species-distribution-models

Last synced: about 1 month ago
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:package: :earth_americas: :mountain: :sunny: :cloud: :seedling: Get climatic and other environmental variables

• Host: GitHub
• URL: https://github.com/ghislainv/gecevar
• Owner: ghislainv
• Created: 2022-09-30T12:25:41.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-05T03:12:47.000Z (10 months ago)
• Last Synced: 2024-07-18T04:41:13.651Z (6 months ago)
• Topics: climate, environment-variables, r, species-distribution-models
• Language: R
• Homepage: https://ecology.ghislainv.fr/gecevar
• Size: 2.99 MB
• Stars: 6
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • Contributing: .github/CONTRIBUTING.Rmd
  • Code of conduct: .github/CODE_OF_CONDUCT.Rmd

Awesome Lists containing this project

• open-sustainable-technology - gecevar - Contains functions for downloading climate and environmental data from open and free online datasets for any region of the world. (Climate Change / Climate Data Processing and Analysis)

README

        
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output: github_document

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# `gecevar` R Package 

[![R-CMD-check](https://github.com/ghislainv/gecevar/workflows/R-CMD-check/badge.svg)](https://github.com/ghislainv/gecevar/actions)

[![Codecov test coverage](https://codecov.io/gh/ghislainv/gecevar/branch/main/graph/badge.svg)](https://app.codecov.io/gh/ghislainv/gecevar?branch=main) 

`gecevar` stands for "GEtting Climatic and other Environmental VARiables". The package contains functions for downloading climate and environmental data from open and free online datasets for any region of the world. The data can be used for ecological studies. The area of interest can be a country, state or project area and is defined by an extent, vector file or country iso-code. Data comes from a variety of sources (e.g. Chelsa, OpenStreetMap, TropicalMoistForest, SRTMv4.1, SoilGrids). Climate and environmental data are available as multiband raster files at a resolution and in the coordinate reference system specified by the user. When possible, the package uses the properties of Cloud Optimized GeoTIFF ([COGs](https://www.cogeo.org/)) files to download only the portion of the global datasets corresponding to the area of interest, reducing download time. The package uses [GDAL](https://gdal.org/) and the R libraries [`terra`](https://rspatial.org/) and [`sf`](https://r-spatial.github.io/sf/) for optimized processing of raster and vector geospatial data.

## System requirements

Make sure GDAL and GRASS GIS are installed on your system.

## Installation

You can install **gecevar** from [GitHub](https://github.com/ghislainv/gecevar) with:

```{r github, eval=FALSE}

devtools::install_github("ghislainv/gecevar")

```

## Contributing

The `gecevar` R package is Open Source and released under the [GNU GPL version 3](https://www.gnu.org/licenses/gpl-3.0.en.html) license. Anybody who is interested can contribute to the package development following our [Contributing guide](CONTRIBUTING.html). Every contributor must agree to follow the project's [Code of conduct](CODE_OF_CONDUCT.html).