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A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China

Research article (International Journal of Environmental Research and Public Health, 2016) · cited 60× · AI/ML
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A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China

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A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China is a scholarly article[1].

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  • A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-combination-of-geographically-weighted-regression-particle-swarm-optimization-and-support-vector-machine-for-landslide
MLA “A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-combination-of-geographically-weighted-regression-particle-swarm-optimization-and-support-vector-machine-for-landslide.
BibTeX @misc{4ortxyz_a-combination-of-geographically-weighted-regression-particle-swarm-optimization-and-support-vector-machine-for-landslide_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China}}, year = {2026}, url = {https://4ort.xyz/entity/a-combination-of-geographically-weighted-regression-particle-swarm-optimization-and-support-vector-machine-for-landslide}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China — https://4ort.xyz/entity/a-combination-of-geographically-weighted-regression-particle-swarm-optimization-and-support-vector-machine-for-landslide (retrieved 2026-05-24)

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