Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid

Research article (International Journal of Geographical Information Systems, 2022) · cited 57× · AI/ML
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Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid

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Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid. Retrieved May 24, 2026, from https://4ort.xyz/entity/geographically-convolutional-neural-network-weighted-regression-a-method-for-modeling-spatially-non-stationary-relations
MLA “Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/geographically-convolutional-neural-network-weighted-regression-a-method-for-modeling-spatially-non-stationary-relations.
BibTeX @misc{4ortxyz_geographically-convolutional-neural-network-weighted-regression-a-method-for-modeling-spatially-non-stationary-relations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid}}, year = {2026}, url = {https://4ort.xyz/entity/geographically-convolutional-neural-network-weighted-regression-a-method-for-modeling-spatially-non-stationary-relations}, note = {Accessed: 2026-05-24}}
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