Geospatial XAI: A Review

• Published in: ISPRS international journal of geo-information Vol. 12; no. 9; p. 355
• Main Authors: Roussel, Cédric, Böhm, Klaus
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2023
• Subjects: Artificial intelligence; Decision making; End users; evaluation metrics; explainable AI; Explainable artificial intelligence; Geographical locations; Geospatial data; geospatial ML; Learning algorithms; Literature reviews; Machine learning; Paper converting machinery; Research methodology; Spatial data; State-of-the-art reviews; visualization; Visualization (Computers)

Explainable Artificial Intelligence (XAI) has the potential to open up black-box machine learning models. XAI can be used to optimize machine learning models, to search for scientific findings, or to improve the understandability of the AI system for the end users. Geospatial XAI refers to AI system...