Comments on ‘Combining spatial transition probabilities for stochastic simulation of categorical fields’ with communications on some issues related to Markov chain geostatistics-Reference-Cited by-同舟云学术

Comments on ‘Combining spatial transition probabilities for stochastic simulation of categorical fields’ with communications on some issues related to Markov chain geostatistics

Published:2012-10 Issue:10 Volume:26 Page:1725-1739
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Li Weidong,Zhang Chuanrong

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

http://www.tandfonline.com/doi/pdf/10.1080/13658816.2012.673617

Reference37 articles.

1. An efficient maximum entropy approach for categorical variable prediction

2. Spatial prediction of categorical variables: the Bayesian maximum entropy approach

3. Combining spatial transition probabilities for stochastic simulation of categorical fields

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Métricas de paisagem na avaliação da efetividade de proteção do Parque Estadual da Costa do Sol, uma unidade de conservação fragmentada no Estado do Rio de Janeiro, Brasil;Neotropical Biology and Conservation;2020-02-06

2. Some further clarification on Markov chain random fields and transiograms;International Journal of Geographical Information Science;2013-03

3. Response to ‘Comments on “Combining spatial transition probabilities for stochastic simulation of categorical fields” with communications on some issues related to Markov chain geostatistics’;International Journal of Geographical Information Science;2012-10