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

Javier Fernández-López*, Klaus Schliep

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in einer FachzeitschriftArtikel

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.

Originalspracheenglisch
Seiten (von - bis)804-810
Seitenumfang7
FachzeitschriftEcography
Jahrgang42
Ausgabenummer4
DOIs
PublikationsstatusVeröffentlicht - 1 Apr 2019
Extern publiziertJa

ASJC Scopus subject areas

  • !!Ecology, Evolution, Behavior and Systematics

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