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Tobler's First Law in GeoAI
Thursday, September 29, 2022, 11:00 AM - 12:00 PM PDT
Category: Webinars

Tobler's First Law in GeoAI

Presenter: Dr. Wenwen Li (Arizona State University)
Moderator: Dr. Yongmei Lu (Texas State University)


AbstractGeoAI, or geospatial artificial intelligence, is powerful to solve complex geospatial problems. Leveraging recent breakthroughs in deep learning and advanced computing, GeoAI enables scalable processing and intelligent analysis of geospatial big data. A core issue is how to make AI integral to the geospatial science framework. This presentation will introduce a new GeoAI model that enables automated spatial object detection, especially of natural features, in a weakly supervised manner. It will also cover discussions about the enablement of spatially explicit machine learning by integrating Tobler’s First Law of Geography; as well as the generalizability of the GeoAI model, in detecting both manmade and natural features on the surface of the Earth and other planets.
A related paper with more background information can be found in: Li, W., Hsu, C. Y., & Hu, M. (2021). Tobler’s First Law in GeoAI: A spatially explicit deep learning model for terrain feature detection under weak supervision. Annals of the American Association of Geographers111(7), 1887-1905.
The first 100 free copies of the paper can be downloaded through links at (link 1 and link 2).
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