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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Bibliografische Detailangaben

Hauptverfasser:	Weixing Zhang, Weidong Li, Chuanrong Zhang, Tian Zhao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Taylor & Francis Group 2019-05-01
Schriftenreihe:	International Journal of Digital Earth
Schlagworte:	markov chain random field parallel computing nearest neighbor searching approximation graphics processing unit
Online-Zugang:	http://dx.doi.org/10.1080/17538947.2018.1464073
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