Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization

Research article (International Journal of Applied Earth Observation and Geoinformation, 2024) · cited 14× · AI/ML
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Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization

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Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/explainable-artificial-intelligence-framework-for-urban-global-digital-elevation-model-correction-based-on-the-shapley-a
MLA “Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/explainable-artificial-intelligence-framework-for-urban-global-digital-elevation-model-correction-based-on-the-shapley-a.
BibTeX @misc{4ortxyz_explainable-artificial-intelligence-framework-for-urban-global-digital-elevation-model-correction-based-on-the-shapley-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization}}, year = {2026}, url = {https://4ort.xyz/entity/explainable-artificial-intelligence-framework-for-urban-global-digital-elevation-model-correction-based-on-the-shapley-a}, note = {Accessed: 2026-05-24}}
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