Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models

Research article (Transactions in GIS, 2017) · cited 57× · AI/ML
Press Enter · cited answer in seconds

Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models

Summary

Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models is a scholarly article[1].

Key Facts

  • Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-urban-cellular-automata-performance-by-integrating-global-and-geographically-weighted-logistic-regression-mode
MLA “Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-urban-cellular-automata-performance-by-integrating-global-and-geographically-weighted-logistic-regression-mode.
BibTeX @misc{4ortxyz_improving-urban-cellular-automata-performance-by-integrating-global-and-geographically-weighted-logistic-regression-mode_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models}}, year = {2026}, url = {https://4ort.xyz/entity/improving-urban-cellular-automata-performance-by-integrating-global-and-geographically-weighted-logistic-regression-mode}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models — https://4ort.xyz/entity/improving-urban-cellular-automata-performance-by-integrating-global-and-geographically-weighted-logistic-regression-mode (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/improving-urban-cellular-automata-performance-by-integrating-global-and-geographically-weighted-logistic-regression-mode · Last refreshed: