GeoAI for Science and the Science of GeoAI

This paper reviews trends in GeoAI research and discusses cutting-edge advances in GeoAI and its roles in accelerating environmental and social sciences. It addresses ongoing attempts to improve the predictability of GeoAI models and recent research aimed at increasing model explainability and repro...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Wenwen Li, Samantha Arundel, Song Gao, Michael Goodchild, Yingjie Hu, Shaowen Wang, Alexander Zipf
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	University of Maine 2024-09-01
Σειρά:	Journal of Spatial Information Science
Θέματα:	artificial intelligence spatially explicit ai for science responsible ai explainable ai geoai reproducibility co-design ethics ai for good
Διαθέσιμο Online:	https://josis.org/index.php/josis/article/view/349
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