Articles | Volume 11, issue 1
https://doi.org/10.5194/gi-11-195-2022
https://doi.org/10.5194/gi-11-195-2022
Review article
 | 
02 Jun 2022
Review article |  | 02 Jun 2022

GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data

Roberto Pierdicca and Marina Paolanti

Viewed

Total article views: 7,868 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,856 1,927 85 7,868 60 56
  • HTML: 5,856
  • PDF: 1,927
  • XML: 85
  • Total: 7,868
  • BibTeX: 60
  • EndNote: 56
Views and downloads (calculated since 11 Jan 2022)
Cumulative views and downloads (calculated since 11 Jan 2022)

Viewed (geographical distribution)

Total article views: 7,868 (including HTML, PDF, and XML) Thereof 7,539 with geography defined and 329 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Short summary
For the processing of geomatics data, artificial intelligence (AI) offers overwhelming opportunities. The integration of AI approaches in geomatics has developed into the concept of geospatial artificial intelligence (GeoAI), which is a new paradigm for geographic knowledge discovery and beyond. This contribution outlines AI-based techniques for analysing and interpreting complex geomatics data. How AI approaches have been exploited for the interpretation of geomatic data is explained.