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Comparison of simulation models in terms of quantity and allocation of land change
Affiliation:1. Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, No. 9 Dengzhuang South Rd., Haidian District, Beijing 100094, China;2. Baoji University of Arts and Sciences, Institute of Geography and Environment, No. 1 Gaoxin Rd., Gaoxin District, Baoji 721013, China;3. Beijing Jiaotong University, School of Civil Engineering, Department of Survey, No. 3 Shangyuancun, Haidian District, Beijing 100044, China;4. Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guangxi Institute of Botany, Guangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, No. 35 Yanshan Rd., Yanshan District, Guilin 541006, China;1. College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;2. The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources (Ministry of Education), Shanghai Ocean University, Shanghai 201306, China;3. National Distant-water Fisheries Engineering Research Center, Shanghai Ocean University, Shanghai 201306, China;4. School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia;5. College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
Abstract:Our article illustrates how to compare the outputs from models that simulate transitions among categories through time. We illustrate the concepts by comparing two land change models: Land Change Modeler and Cellular Automata Markov. We show how the modeling options influence the quantity and allocation of simulated transitions, and how to compare output maps from pairs of model runs with respect to a reference map of transitions during the validation interval. We recommend that the first step is to assess the quantity of each transition and to determine the cause of the variation in quantity among model runs. The second step is to assess the allocation of transitions and to determine the cause of the variation in allocation among model runs. The separation of quantity and allocation of the transitions is a helpful approach to communicate how models work and to describe pattern validation.
Keywords:Quantity and allocation  Assessment  Validation  Land Change Model  Land use and cover change (LUCC)
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