Home ›
Entities
› academia
› Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid
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
Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid
Summary
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].
Key Facts
Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.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}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid — https://4ort.xyz/entity/geographically-convolutional-neural-network-weighted-regression-a-method-for-modeling-spatially-non-stationary-relations (retrieved 2026-05-24)