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The effects of factor generalization scales on the reproduction of dynamic urban growth.

, , , , , , , and . Geo spatial Inf. Sci., 25 (3): 457-475 (2022)

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A Combined Deconvolution and Gaussian Decomposition Approach for Overlapped Peak Position Extraction From Large-Footprint Satellite Laser Altimeter Waveforms., , , , , , , , , and 5 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Large-Scale Surface Deformation Monitoring Using SBAS-InSAR and Intelligent Prediction in Typical Cities of Yangtze River Delta., , , , , , , , and . Remote. Sens., 15 (20): 4942 (October 2023)To move or stay? A cellular automata model to predict urban growth in coastal regions amidst rising sea levels., , , and . Int. J. Digit. Earth, 14 (9): 1213-1235 (2021)Spatial Patterns of Land Surface Temperature and Their Influencing Factors: A Case Study in Suzhou, China., , , , , and . Remote. Sens., 11 (2): 182 (2019)The effects of factor generalization scales on the reproduction of dynamic urban growth., , , , , , , and . Geo spatial Inf. Sci., 25 (3): 457-475 (2022)A new cellular automata framework of urban growth modeling by incorporating statistical and heuristic methods., and . Int. J. Geogr. Inf. Sci., 34 (1): 74-97 (2020)Pixel-Level Projection of PM2.5 Using Landsat Images and Cellular Automata Models in the Yangtze River Delta, China., , , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Rational polynomial coefficients generation for high resolution Ziyuan-3 imagery., , , , , and . ICNSC, page 691-695. IEEE, (2017)An improved assessment method for urban growth simulations across models, regions, and time., , , , , , and . Int. J. Geogr. Inf. Sci., 37 (11): 2345-2366 (November 2023)Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR., , , , , and . Comput. Environ. Urban Syst., (2020)