Which spatial interpolators I should use? A case study applying to marine species

Marta M. Rufino, Camille Albouy and Anik Brind'Amour

Ecological Modelling, 2021, vol. 449, issue C

Abstract: Species are spread in space, whereas sampling is sparse. Thus, to describe and map along environmental gradients, it is necessary to interpolate the species abundance. Considering the plethora of valid methods, the researcher gets easily puzzled to choose the most appropriate interpolation approach with reference to the ecological question being asked.

Keywords: Spatial interpolation; Geostatistics; Machine learning; Spatial distribution; SDM; Review (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:449:y:2021:i:c:s0304380021000727

DOI: 10.1016/j.ecolmodel.2021.109501

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