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.
Originalsprache | englisch |
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Seiten (von - bis) | 804-810 |
Seitenumfang | 7 |
Fachzeitschrift | Ecography |
Jahrgang | 42 |
Ausgabenummer | 4 |
DOIs | |
Publikationsstatus | Veröffentlicht - 1 Apr. 2019 |
Extern publiziert | Ja |
ASJC Scopus subject areas
- Ökologie, Evolution, Verhaltenswissenschaften und Systematik