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International Journal of Geographical Information Science Volume 24, 2010 - Issue 6
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Articles

Linear interpolation and joint model fitting of experimental transiograms for Markov chain simulation of categorical spatial variables

Weidong Li Key Laboratory of Subtropical Agriculture Resource and Environment, Ministry of Agriculture, College of Resource and Environment, Huazhong Agricultural University, Wuhan, Hubei, China; Department of Resource and Environmental Information Science and Engineering, Huazhong Agricultural University, Wuhan, Hubei, China; Department of Geography and Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, CT, USACorrespondence[email protected]
&
Chuanrong Zhang Department of Geography and Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, CT, USA
Pages 821-839 | Received 10 Apr 2009, Accepted 15 Jun 2009, Published online: 01 Mar 2010

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Mitra Mahmoudi, Enayatollah Ranjineh Khojasteh & Yousef Sharghi. (2022) Facies modelling for hydrocarbon reservoirs using a combined Markov chain method. Geocarto International 37:25, pages 10659-10680.
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Weixing Zhang, Weidong Li, Chuanrong Zhang & Tian Zhao. (2019) Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields. International Journal of Digital Earth 12:5, pages 566-582.
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Xiang Huang, Zhizhong Wang & Jianhua Guo. (2016) Prediction of categorical spatial data via Bayesian updating. International Journal of Geographical Information Science 30:7, pages 1426-1449.
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Weixing Zhang, Weidong Li & Chuanrong Zhang. (2016) Land cover post-classifications by Markov chain geostatistical cosimulation based on pre-classifications by different conventional classifiers. International Journal of Remote Sensing 37:4, pages 926-949.
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Weidong Li & Chuanrong Zhang. (2013) Some further clarification on Markov chain random fields and transiograms. International Journal of Geographical Information Science 27:3, pages 423-430.
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Weidong Li & Chuanrong Zhang. (2012) 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 26:10, pages 1725-1739.
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Weidong Li, Chuanrong Zhang & DipakK. Dey. (2012) Modeling experimental cross-transiograms of neighboring landscape categories with the gamma distribution. International Journal of Geographical Information Science 26:4, pages 599-620.
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Articles from other publishers (11)

Opeyemi E. Oluwatuyi, Rasika Rajapakshage, Shaun S. Wulff & Kam Ng. (2023) Proposed hybrid approach for three-dimensional subsurface simulation to improve boundary determination and design of optimum site investigation plan for pile foundations. Soils and Foundations 63:1, pages 101269.
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Bin Yang, Xiang Chen, Zhanqi Wang, Weidong Li, Chuanrong Zhang & Xiaowei Yao. (2020) Analyzing land use structure efficiency with carbon emissions: A case study in the Middle Reaches of the Yangtze River, China. Journal of Cleaner Production 274, pages 123076.
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Weidong Li & Chuanrong Zhang. (2019) Markov chain random fields in the perspective of spatial Bayesian networks and optimal neighborhoods for simulation of categorical fields. Computational Geosciences 23:5, pages 1087-1106.
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Jia Yu, Weidong Li & Chuanrong Zhang. (2019) A framework of experimental transiogram modelling for Markov chain geostatistical simulation of landscape categories. Computers, Environment and Urban Systems 73, pages 16-26.
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Wenjie Wang, Weidong Li, Chuanrong Zhang & Weixing Zhang. (2018) Improving Object-Based Land Use/Cover Classification from Medium Resolution Imagery by Markov Chain Geostatistical Post-Classification. Land 7:1, pages 31.
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Weidong Li & Chuanrong Zhang. (2017) Comments on “Spatial hidden Markov chain models for estimation of petroleum reservoir categorical variables”. Journal of Petroleum Exploration and Production Technology 7:3, pages 905-909.
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Weixing Zhang, Weidong Li, Chuanrong Zhang & Xiaojiang Li. (2017) Incorporating Spectral Similarity Into Markov Chain Geostatistical Cosimulation for Reducing Smoothing Effect in Land Cover Postclassification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10:3, pages 1082-1095.
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Xiang Huang & Zhizhong Wang. (2016) Multiple Artificial Neural Networks with Interaction Noise for Estimation of Spatial Categorical Variables. Algorithms 9:3, pages 56.
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Weidong Li, Chuanrong Zhang, Michael R. Willig, Dipak K. Dey, Guiling Wang & Liangzhi You. (2014) Bayesian Markov Chain Random Field Cosimulation for Improving Land Cover Classification Accuracy. Mathematical Geosciences 47:2, pages 123-148.
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Weidong Li, Chuanrong Zhang, Dipak K. Dey & Michael R. Willig. (2013) Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation. The Scientific World Journal 2013, pages 1-13.
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Weidong Li, Chuanrong Zhang, Dipak K. Dey & Shanqin Wang. (2010) Estimating threshold-exceeding probability maps of environmental variables with Markov chain random fields. Stochastic Environmental Research and Risk Assessment 24:8, pages 1113-1126.
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