Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields

The Markov chain random field (MCRF) model is a spatial statistical approach for modeling categorical spatial variables in multiple dimensions. However, this approach tends to be computationally costly when dealing with large data sets because of its sequential simulation processes. Therefore, impro...

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Detalhes bibliográficos

Principais autores:	Weixing Zhang, Weidong Li, Chuanrong Zhang, Tian Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2019-05-01
coleção:	International Journal of Digital Earth
Assuntos:	markov chain random field parallel computing nearest neighbor searching approximation graphics processing unit
Acesso em linha:	http://dx.doi.org/10.1080/17538947.2018.1464073
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