UBC Research Data

Global squamate presence-absence matrix Stephens, Patrick; Farrell, Maxwell; Davies, Jonathan; Gittleman, John; Meiri, Shai; Roll, Uri; Wiens, John

Description

Abstract

This dataset contains a global presence-absence matrix for 10,215 species of terrestrial squamates (lizards and snakes), constructed from the GARD 1.5 species range shapefiles. Suitable for global diversity analyses using the R package LetsR. It consists of a list including three elements (1) a presence-absence matrix for all 96x96 km global terrestrial grid cells (48800 grid cells have at least one species), (2) a raster summarizing global richness patterns, and (3) a list of species.; Methods

This dataset was constructed from the GARD 1.5 squamate species range shapefiles (<a href="https://doi.org/10.5061/dryad.9s4mw6mh3">https://doi.org/10.5061/dryad.9s4mw6mh3</a>) for 10,215 terrestrial species of squamates using the R package LetsR v 4.0 (Vilela and Villalobos 2015). The range shapefiles were projected onto an global Behrmann equal area projection map, and then converted into a presences absence matrix using the "lets.presab" fuinction in LetsR.

Cited: Vilela, B., & Villalobos, F. (2015). letsR: a new R package for data handling and analysis in macroecology. Methods in Ecology and Evolution, 6(10), 1229-1234. ; Usage notes

This dataset is designed for use with the R package LetsR (Vilela and Villalobos 2015). While the file can be opened with nearly any plain text editor, the organization of the file is such that it would be difficult to use outside of the R programming environment with LetsR. It can be read using the "readRDS" command from LetsR. If you wish to use elements of it in other programs or packages, it would be best to read the file using LetsR and then export the individual elements.

Item Metadata

Title	Global squamate presence-absence matrix
Creator	Stephens, Patrick; Farrell, Maxwell; Davies, Jonathan; Gittleman, John; Meiri, Shai; Roll, Uri; Wiens, John
Date Issued	2022-11-18
Description	<b>Abstract</b><br/> This dataset contains a global presence-absence matrix for 10,215 species of terrestrial squamates (lizards and snakes), constructed from the GARD 1.5 species range shapefiles<span style="font-family:Calibri , sans-serif;"><span style="font-size:14.6667px;">.</span></span> Suitable for global diversity analyses using the R package LetsR. It consists of a list including three elements (1) a presence-absence matrix for all 96x96 km global terrestrial grid cells (48800 grid cells have at least one species), (2) a raster summarizing global richness patterns, and (3) a list of species.</p>; <b>Methods</b><br /> This dataset was constructed from the GARD 1.5 squamate species range shapefiles (<a href="https://doi.org/10.5061/dryad.9s4mw6mh3">https://doi.org/10.5061/dryad.9s4mw6mh3</a>) for 10,215 terrestrial species of squamates using the R package LetsR v 4.0 (Vilela and Villalobos 2015). The range shapefiles were projected onto an global Behrmann equal area projection map, and then converted into a presences absence matrix using the "lets.presab" fuinction in LetsR. </p> Cited: Vilela, B., & Villalobos, F. (2015). letsR: a new R package for data handling and analysis in macroecology. <em>Methods in Ecology and Evolution</em>, 6(10), 1229-1234. </p>; <b>Usage notes</b><br /> This dataset is designed for use with the R package LetsR (Vilela and Villalobos 2015). While the file can be opened with nearly any plain text editor, the organization of the file is such that it would be difficult to use outside of the R programming environment with LetsR. It can be read using the "readRDS" command from LetsR. If you wish to use elements of it in other programs or packages, it would be best to read the file using LetsR and then export the individual elements.</p>
Subject	Other; Other; Presence absence matrix; global; Squamate; lizard; snake; Other; Presence absence matrix; global; Squamate; lizard; snake
Type	Dataset
Notes	Dryad version number: 4</p> Version status: submitted</p> Dryad curation status: Published</p> Sharing link: https://datadryad.org/stash/share/nW0Sxp26evzcToznQQ8mbtBqAbjurHO8YfZfkqBWdl0</p> Storage size: 4496776</p> Visibility: public</p>
Date Available	2022-11-08
Provider	University of British Columbia Library
License	CC0 Waiver
DOI	10.14288/1.0421949
URI	https://doi.org/10.5683/SP3/KONFHG
Publisher DOI	https://doi.org/10.5683/SP3/KONFHG
Grant Funding Agency	United States-Israel Binational Science Foundation
Rights URI	https://creativecommons.org/publicdomain/zero/1.0/
Aggregated Source Repository	Dataverse

Item Media

Item Citations and Data

Licence

CC0 Waiver

Open Collections