Recent years have witnessed significant advancements in deep learning, machine learning, as well as many other artificial intelligence (AI) techniques (e.g., ontologies, Linked Data, and knowledge graphs). The new methods and techniques brought by these advancements are transforming geospatial research in a variety of areas. For example, recent studies have shown deep learning techniques coupled with volunteered geographic information (such as OpenStreetMap data) can accurately extract buildings from satellite images for humanitarian mapping. Artificial intelligence methods are also enabling self-driving cars and intelligent transport system by analyzing large amounts of geographic information gathered by traffic cameras and sensors in real time. Many machine learning techniques have facilitated natural language processing, and have helped discover new knowledge from geotagged texts. Advances in knowledge representation and ontology engineering gave birth to novel applications in geographic information retrieval and intelligent search. There also exist many other applications of AI in geospatial research, such as spatial diffusion prediction in epidemiology, urban expansion analysis, and hyperspectral image analysis. In this context, we organize a special symposium focusing on the current status, recent advances, and possible future directions of this exciting research theme at the 2018 AAG Annual meeting, April 10-14, New Orleans, Louisiana. We aim to bring in geographers, spatial modeling experts, computer scientists, spatial data scientists, epidemiologists, urban planners, transportation professionals, and many others to discuss this rapidly developing research frontier.
|Panelist||Piotr Jankowski San Diego State University||15|
|Panelist||Budhendra Bhaduri Oak Ridge National Laboratory||15|
|Panelist||Shawn Newsam University of California, Merced||15|
|Panelist||Alexander Fotheringham Arizona State University||15|
|Panelist||May Yuan University of Texas - Dallas||15|
|Panelist||Mark Gahegan University of Auckland||15|
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