https://github.com/rspatial/geosphere

R geosphere package
https://github.com/rspatial/geosphere

Last synced: about 1 year ago
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R geosphere package

• Host: GitHub
• URL: https://github.com/rspatial/geosphere
• Owner: rspatial
• License: gpl-3.0
• Created: 2018-07-31T02:09:30.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2024-10-03T02:47:06.000Z (over 1 year ago)
• Last Synced: 2025-04-16T21:23:15.646Z (about 1 year ago)
• Language: R
• Size: 1.2 MB
• Stars: 36
• Watchers: 1
• Forks: 7
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog
  • License: LICENSE

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README

          
# geosphere

[![CRAN

status](https://www.r-pkg.org/badges/version/geosphere)](https://cran.r-project.org/package=geosphere)

[![CRAN RStudio mirror downloads](http://cranlogs.r-pkg.org/badges/geosphere)](http://www.r-pkg.org/pkg/geosphere)

`geosphere` is an *R* package for spherical trigonmetry. That is compute distance, direction, area, and related quantities with longitude / latitude data. There are tutorials at [rspatial.org](https://rspatial.org/raster/sphere/index.html). 

## Installation

`geosphere` is available from CRAN, so you can use `install.packages("geosphere")` to get the current *released version*.

The easiest way to use the *development version* on Windows or MacOS, is to install it from the [R-universe](https://r-universe.dev/organizations/), like this:

```

install.packages('geosphere', repos='https://rspatial.r-universe.dev')

```

### From source-code

In R, you can install the package like this.

```

remotes::install_github("rspatial/geosphere")

```

On Windows, you need to first install [Rtools](https://cran.r-project.org/bin/windows/Rtools/) to get a C++ compiler that R can use.