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Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling
Research article (Ecological Modelling, 2024) · cited 32× · AI/ML
Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling
Summary
Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling is a scholarly article[1].
Key Facts
Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-the-performance-of-global-geographically-weighted-and-ecologically-weighted-species-distribution-models-for-sc
MLA“Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-the-performance-of-global-geographically-weighted-and-ecologically-weighted-species-distribution-models-for-sc.
BibTeX@misc{4ortxyz_comparing-the-performance-of-global-geographically-weighted-and-ecologically-weighted-species-distribution-models-for-sc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-the-performance-of-global-geographically-weighted-and-ecologically-weighted-species-distribution-models-for-sc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling — https://4ort.xyz/entity/comparing-the-performance-of-global-geographically-weighted-and-ecologically-weighted-species-distribution-models-for-sc (retrieved 2026-05-24)
