Geospatial science, geoinformatics

Last updated Feb 28, 2023 Edit Source

Geospatial sciences covers the technical disciplines used to collect and analyse information tied to a location and time – in essence this is all forms of data (biophysical, human, social and economic) across many discipline areas

See AI4ES/EO

• Geospatial Artificial Intelligence: Emerging Trends and Challenges
• Geospatial science

• #BOOK Cloud-Based Remote Sensing with Google Earth Engine
  • https://www.eefabook.org/videos.html

• SIGSpatial
• GeoAI workshops ata SIGSpatial
• GeoPython 2022
  • https://submit.geopython.net/geopython-2022/schedule/

• https://sungsoo.github.io/2021/09/02/geospatial-python.html
• #CODE Geopandas
  • Python tools for geographic data
  • http://geopandas.readthedocs.io/
• #CODE Shapely
  • Manipulation and analysis of geometric objects
  • https://shapely.readthedocs.io/en/stable/manual.html

• See articles in special Issue Geospatial Artificial Intelligence
• #PAPER Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology (VoPham 2018)
• #PAPER GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (Janowicz 2019)
• #PAPER GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data (Pierdicca 2022)
• #PAPER A Review of Location Encoding for GeoAI: Methods and Applications (Mai 2022)