An Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature

The monitoring and prediction of biodiversity and environmental changes is constrained by the availability of accurate and spatially contiguous climatic variables at fine temporal and spatial grains. In this study, we evaluate best practices for generating gridded, one-kilometer resolution, daily...

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Detalhes bibliográficos

Principais autores:	Benoit Parmentier, Brian McGill, Adam M. Wilson, James Regetz, Walter Jetz, Robert P. Guralnick, Mao-Ning Tuanmu, Natalie Robinson, Mark Schildhauer
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2014-09-01
coleção:	Remote Sensing
Assuntos:	accuracy spline weather interpolation satellite imagery meteorological station generalized additive model kriging geographically weighted regression
Acesso em linha:	http://www.mdpi.com/2072-4292/6/9/8639
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