Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields-Reference-Cited by-同舟云学术

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

Published:2018-04-16 Issue:5 Volume:12 Page:566-582
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Zhang Weixing¹²³^ORCID,Li Weidong¹²^ORCID,Zhang Chuanrong¹²^ORCID,Zhao Tian⁴

Affiliation:

1. Department of Geography, University of Connecticut, Storrs, USA

2. Center for Environmental Science and Engineering, University of Connecticut, Storrs, USA

3. Connecticut State Data Center, University of Connecticut, Storrs, USA

4. Department of Computer Science, University of Wisconsin–Milwaukee, Milwaukee, USA

Funder

Division of Behavioral and Cognitive Sciences

U.S. National Science Foundation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2018.1464073

Reference60 articles.

1. Massively parallel strategies for local spatial interpolation

2. Conditional Simulation with Patterns

3. The indicator approach to categorical soil data

4. Transition probability-based indicator geostatistics

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