Improvements to Information Entropy for Raster Spatial Data: A Thermodynamic-based Evaluation
Hong Zhang
Faculty of Geosciences & Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China
Peichao Gao
Faculty of Geographical Science, Beijing Normal University, Beijing, China
Zhilin Li
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong
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Peichao Gao, Hong Zhang, and Zhilin Li
Abstr. Int. Cartogr. Assoc., 1, 86, https://doi.org/10.5194/ica-abs-1-86-2019, https://doi.org/10.5194/ica-abs-1-86-2019, 2019
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Revised manuscript not accepted
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We found that the featured function of CLUMondo – balancing demands and supplies in a many-to-many mode – relies on a parameter called conversion order, but the setting of this parameter should be improved. This parameter should be set manually according to the characteristics of each study area and based on expert knowledge, which is not feasible for users without understanding the whole, detailed mechanism. This problem has been addressed in this study with CLUMondo Version 2.0.
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This article quantify the effect of the Wenchuan MS 8.0 and Lushan MS 7.0 earthquakes on the size distribution of earthquakes along the Longmenshan fault. The results depict the decreasing trends of b values before the two large earthquakes in the study region. The major aftershock active periods of the Wenchuan MS 8.0 and Lushan MS 7.0 earthquakes were less than one year and ten months. Moreover, both large earthquakes do not change the pattern of
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Abstr. Int. Cartogr. Assoc., 1, 86, https://doi.org/10.5194/ica-abs-1-86-2019, https://doi.org/10.5194/ica-abs-1-86-2019, 2019
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