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A spatial heterogeneity-based rough set extension for spatial data.

, , , and . Int. J. Geogr. Inf. Sci., 33 (2): 240-268 (2019)

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CCSSM: A Toolkit for Information Extraction from Remotely Sensed Imagery., , and . SDH, page 157-165. Springer, (2010)A fast two part direct sampling method based on interpolation., , and . Comput. Geosci., (June 2023)A spatial heterogeneity-based rough set extension for spatial data., , , and . Int. J. Geogr. Inf. Sci., 33 (2): 240-268 (2019)Geo-spatial Data Analysis, Quality Assessment and Visualization., , and . ICCSA (1), volume 5072 of Lecture Notes in Computer Science, page 258-267. Springer, (2008)A fast edge-based two-stage direct sampling method., and . Comput. Geosci., (2021)A Graph Convolution Neural Network for User-Group Aided Personalized Session-Based Recommendation., , , and . ICONIP (2), volume 14448 of Lecture Notes in Computer Science, page 332-345. Springer, (2023)Detecting nominal variables' spatial associations using conditional probabilities of neighboring surface objects' categories., , , and . Inf. Sci., (2016)An Efficient Object Detection Algorithm Based on Improved YOLOv5 for High-Spatial-Resolution Remote Sensing Images., , , , , , , and . Remote. Sens., 15 (15): 3755 (August 2023)Semantic-based topic detection using Markov decision processes., , and . Neurocomputing, (2017)Using rough set theory to identify villages affected by birth defects: the example of Heshun, Shanxi, China., , , and . Int. J. Geogr. Inf. Sci., 24 (4): 559-576 (2010)