GeoKG-HSA: A framework for habitat suitability assessment with geospatial knowledge graphs

Habitat suitability, which reflects how well environmental conditions support species survival, growth, and reproduction, is highly sensitive to climate change and human activities and underpins effective conservation policy-making. Traditional machine learning models for habitat suitability assessm...

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מידע ביבליוגרפי

Principais autores:	Xin Xiao, Peng Wang, Yong Ge, Jin Luo, Hao Chen, Yufeng He, Die Zhang, Yankuo Li, Chaoyang Fang, Hui Lin
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2025-11-01
סדרה:	International Journal of Applied Earth Observations and Geoinformation
נושאים:	Habitat suitability assessment Geospatial knowledge graph Environmental modelling Knowledge-driven Machine learning
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S1569843225005680
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!