Conservation Planning Data Sets

Conservation planning data sets for learning how to use the 'prioritizr' package < https://CRAN.R-project.org/package=prioritizr>.


Conservation Planning Data Sets

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The prioritizrdata R package is a supplemental package that contains example datasets for conservation planning. It is intended to be used alongside the prioritizr R package---a package for building and solving systematic conservation prioritization problems using integer linear programming (ILP) techniques---and provides little functionality itself.

Overview

This package contains the following conservation planning data sets.

  • Tasmania dataset: This dataset was included to show how prioritizations can be created using vector (shapefile) data. It obtained from the "Introduction to Marxan" course and was originally a subset of a larger spatial prioritization project performed under contract to Australia's Department of Environment and Water Resources. It contains vector-based planning unit data and the distributions of 63 vegetation classes in Tasmania, Australia. Refer to the Tasmania vignette in the prioritizr R package for a worked example with this dataset.
  • Salt Spring Island dataset: This dataset was included to provide an example of how prioritizations can be created using raster data. It was obtained as part of an online Marxan-based planning tool created for the Coastal Douglas-fir Conservation Partnership (CDFCP). It contains a raster-based planning unit layer and data for five key ecological communities in Salt Spring Island. Refer to the Salt Spring Island vignette in the prioritizr R package for a worked example with this dataset.

Installation

The latest official version of the prioritizrdata R package can be installed using the following R code.

install.packages("prioritizrdata", repos = "https://cran.rstudio.com/")

Alternatively, the latest development version can be installed using the following code. Please note that while developmental versions may contain additional features not present in the official version, they may also contain coding errors.

if (!require(devtools))
  install.packages("devtools")
devtools::install_github("prioritizr/prioritizrdata")

Citation

Please using the following citation to cite the 'prioritizrdata R package in publications:

Hanson JO, Schuster R, Morrell N, Strimas-Mackey M, Watts ME, Arcese P, Bennett J, Possingham HP (2018). prioritizrdata: Conservation Planning Data Sets. R package version 0.2.1.4. https://github.com/prioritizr/prioritizrdata.

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Reference manual

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install.packages("prioritizrdata")

0.2.2 by Richard Schuster, a year ago


https://prioritizr.github.io/prioritizrdata, https://github.com/prioritizr/prioritizrdata


Report a bug at https://github.com/prioritizr/prioritizrdata/issues


Browse source code at https://github.com/cran/prioritizrdata


Authors: Jeffrey O Hanson [aut] , Richard Schuster [aut, cre] , Nina Morrell [aut] , Matthew Strimas-Mackey [aut] , Matthew E Watts [aut] , Peter Arcese [aut] , Joeseph Bennett [aut] , Hugh P Possingham [aut]


Documentation:   PDF Manual  


GPL-3 license


Depends on raster, sp

Suggests testthat, roxygen2, knitr, rgeos


Suggested by prioritizr.


See at CRAN