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 language | English |
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Pages (from-to) | 804-810 |
Number of pages | 7 |
Journal | Ecography |
Volume | 42 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Apr 2019 |
Externally published | Yes |
Keywords
- landscape genetics
- R
- wind connectivity
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics