https://github.com/r-spatialecology/landscapeverse

Easily install and load packages from the landscapeverse
https://github.com/r-spatialecology/landscapeverse

landscape-ecology landscape-metrics neutral-landscape-model r raster spatial

Last synced: 2 months ago
JSON representation

Easily install and load packages from the landscapeverse

• Host: GitHub
• URL: https://github.com/r-spatialecology/landscapeverse
• Owner: r-spatialecology
• License: gpl-3.0
• Created: 2018-11-07T12:20:55.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2018-11-08T11:45:25.000Z (about 6 years ago)
• Last Synced: 2024-01-25T12:45:40.456Z (12 months ago)
• Topics: landscape-ecology, landscape-metrics, neutral-landscape-model, r, raster, spatial
• Language: R
• Homepage:
• Size: 155 KB
• Stars: 6
• Watchers: 5
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r setup, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

[![Travis build status](https://travis-ci.org/r-spatialecology/landscapeverse.svg?branch=master)](https://travis-ci.org/r-spatialecology/landscapeverse)

[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/r-spatialecology/landscapeverse?branch=master&svg=true)](https://ci.appveyor.com/project/r-spatialecology/landscapeverse)

# landscapeverse 

The goal of **landscapeverse** is to make it easy to install and load core packages for landscape analysis in a single command.

## Installation

You can install the released version of landscapeverse from [CRAN](https://CRAN.R-project.org) with:

``` r

install.packages("landscapeverse")

```

Or the development version from GitHub:

```r

# install.packages("devtools")

devtools::install_github("hadley/tidyverse")

```

## Usage

`library(landscapeverse)` will load the core landscapeverse packages: 

* [landscapemetrics](https://r-spatialecology.github.io/landscapemetrics/), for calculating landscape metrics for categorical landscape patterns in a tidy workflow.

* [NLMR](https://ropensci.github.io/NLMR/), for simulating neutral landscape models (NLM).

* [landscapetools](https://ropensci.github.io/landscapetools/), provides utility functions to work with landscape data.

```{r}

library(landscapeverse)

```

## Packages

As well as the core landscapeverse, installing this package also installs a selection of other packages that you’re likely to use frequently, but probably not in every analysis. 

This includes packages:

* [belg](https://r-spatialecology.github.io/belg/), for calculating the Boltzmann entropy of a landscape gradient.