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Erschienen in:
From Representation to Geocomputation: Some Theoretical Accounts of Geographic Information Science Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

17. GeoAI and the Future of Spatial Analytics

verfasst von : Wenwen Li, Samantha T. Arundel

Erschienen in: New Thinking in GIScience

Verlag: Springer Nature Singapore

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Abstract

This chapter discusses the challenges of traditional spatial analytical methods in their limited capacity to handle big and messy data, as well as mining unknown or latent patterns. It then introduces a new form of spatial analytics—geospatial artificial intelligence (GeoAI)—and describes the advantages of this new strategy in big data analytics and data-driven discovery. Finally, a convergent spatial analytical framework is suggested as a potential future pathway for spatial analysis.

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Vorheriges Kapitel Spatial Thinking of Computational Intensity in the Era of CyberGIS
Nächstes Kapitel Deep Learning of Big Geospatial Data: Challenges and Opportunities
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Metadaten
Titel
GeoAI and the Future of Spatial Analytics
verfasst von
Wenwen Li
Samantha T. Arundel
Copyright-Jahr
2022
Verlag
Springer Nature Singapore
Buch
New Thinking in GIScience

Print ISBN: 978-981-19-3815-3

Electronic ISBN: 978-981-19-3816-0

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-981-19-3816-0_17

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