https://github.com/rspatial/predicts

Methods for spatial prediction
https://github.com/rspatial/predicts

Last synced: about 1 year ago
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Methods for spatial prediction

• Host: GitHub
• URL: https://github.com/rspatial/predicts
• Owner: rspatial
• License: gpl-3.0
• Created: 2019-09-28T23:42:21.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2025-04-21T16:16:18.000Z (about 1 year ago)
• Last Synced: 2025-04-21T17:28:57.404Z (about 1 year ago)
• Language: R
• Size: 1.33 MB
• Stars: 10
• Watchers: 1
• Forks: 5
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog
  • License: LICENSE

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README

          

[![CRAN

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

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

`predicts` is an *R* package for spatial predictive modeling, especially species distribution modeling. There are tutorials at [rspatial.org/sdm](https://rspatial.org/sdm/index.html). 

`predicts` uses the "terra" package for spatial data handling replaces the [dismo](https://github.com/rspatial/dismo) package that uses the old packages "raster" and "sp". 

## Installation

`predicts` is available from CRAN, so you can use `install.packages("predicts")` 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('predicts', repos='https://rspatial.r-universe.dev')

```

### From source-code

To install from source-code you can use: 

```

remotes::install_github("rspatial/predicts")

```