rWind: download, edit and include wind data in ecological and evolutionary analysis

Javier Fernández-López*, Klaus Schliep

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

1) Wind connectivity has been identified as a key factor driving many biological processes. 2) Existing software available for managing wind data are often overly complex for studying many ecological processes and cannot be incorporated into a broad framework. 3) Here we present rWind, an R language package to download and manage surface wind data from the Global Forecasting System and to compute wind connectivity between locations. 4) Data obtained with rWind can be used in a general framework for analysis of biological processes to develop hypotheses about the role of wind in driving ecological and evolutionary patterns.

Original languageEnglish
Pages (from-to)804-810
Number of pages7
JournalEcography
Volume42
Issue number4
DOIs
Publication statusPublished - 1 Apr 2019
Externally publishedYes

Keywords

  • landscape genetics
  • R
  • wind connectivity

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

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