2018
DOI: 10.1111/ecog.03730
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rWind: download, edit and include wind data in ecological and evolutionary analysis

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… Show more

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Cited by 55 publications
(43 citation statements)
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“…Firstly, for each day, raw data were converted into a raster layer from which the speed and direction of sea currents were calculated. Then, the cost to passively move between adjacent cells of the raster was calculated using the function flow.dispersion from the ‘rWind’ package (Fernández‐López & Schliep, 2018), modified to cope with missing data values corresponding to landmasses. This function implements the algorithm proposed by Muñoz, Felicísimo, Cabezas, Burgaz, and Martínez (2004), in which the cost is directly proportional to the difference between the direction of the movement trajectory towards the target cell and the direction of the sea current, and inversely proportional to sea current speed.…”
Section: Methodsmentioning
confidence: 99%
“…Firstly, for each day, raw data were converted into a raster layer from which the speed and direction of sea currents were calculated. Then, the cost to passively move between adjacent cells of the raster was calculated using the function flow.dispersion from the ‘rWind’ package (Fernández‐López & Schliep, 2018), modified to cope with missing data values corresponding to landmasses. This function implements the algorithm proposed by Muñoz, Felicísimo, Cabezas, Burgaz, and Martínez (2004), in which the cost is directly proportional to the difference between the direction of the movement trajectory towards the target cell and the direction of the sea current, and inversely proportional to sea current speed.…”
Section: Methodsmentioning
confidence: 99%
“…RBG images were obtained from Sentinel 2 (Copernicus Sentinel data 2015, processed by ESA, accessed from https://remotepixel.ca/ on 20/12/2018) and plotted with increased contrast. Surface wind direction data, averaged for the months June to August (2015-17), was obtained from the Global Forecasting System, via the package ‘rWind’ (Fernández-López 2018).…”
Section: Methodsmentioning
confidence: 99%
“…collected by the R/V FG Walton Smith (Teledyne RD Instruments; 600 kHz Workhorse Mariner and 75 kHz Ocean Surveyor) during ISIIS transects were analysed and used to determine the geographic position of the eddy. Based on the zonal (u)-and meridional (v) vectors, the resulting direction and speed of the current were calculated using the uv2ds function of the R package 'rWind' 80 . Magnitudes of u and v, as well as the resulting speed of the current were then used in k-means unsupervised clustering 81 , a proven approach to distinguishing water masses 82 .…”
Section: Environmental and Ecological Data Analyses Identification Omentioning
confidence: 99%