GeoAI- The future was here!

Authors

  • Martin Chandler Cape Breton University

DOI:

https://doi.org/10.15353/acmla.n172.5458

Keywords:

Artificial Intelligence,, AI, Deep Learning, Machine Learning, GeoAI, GIS

Abstract

Artificial Intelligence (AI) in the geospatial data sphere has been around for some time - albeit under different monikers, including "deep learning" and "machine learning". Both commercial and open-source software have options for the current brand of AI, and these are discussed. Some machine learning training models are also openly available for use. Whether any of this will be relevant tomorrow is given cursory consideration.

Author Biography

Martin Chandler, Cape Breton University

Martin Chandler is the Liaison and Data Services Librarian at Cape Breton University, Sydney, Nova Scotia.

GIS Trends, Martin Chandler

Downloads

Published

2023-08-03

How to Cite

Chandler, M. (2023). GeoAI- The future was here!. Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), (172), 27–29. https://doi.org/10.15353/acmla.n172.5458

Most read articles by the same author(s)