Artificial intelligence can be applied in multiple disciplines in order to discover and illuminate richness in datasets through the use of computational processes. Below are some examples of application areas that have used geospatial artificial intelligence to analyze phenomena. In regards to artificial intelligence, machine learning, and deep learning examples will also be provided to illustrate additional examples users could pursue in their exploration of datasets and geospatial methods to further analyze geospatial trends. Within machine learning, deep learning is one form of analysis. For more information on different types of machine learning and deep learning, see this video GeoAI: Applying Machine Learning and Deep Learning to Geospatial Data. Examining how geospatial artificial intelligence has been applied to research and domain area can be helpful to identify relevant methods and approaches that could benefit from geospatial artificial intelligence.
Additional overview resources
Relationship of artificial Intelligence, machine learning, and deep learning
Artificial Intelligence + Location intelligence
ArcGIS and Artificial Intelligence
What Every GIS Professional Needs to Know about artificial intelligence and machine learning
Artificial Intelligence and Machine Learning with ArcGIS
Research and Publications
International Journal of Geo-Information: Special Issue “Geospatial Artificial Intelligence”
Handbook of Big Geospatial Data [electronic resource] / edited by Martin Werner, Yao-Yi Chiang: Includes Automating Information Extraction from Large Historical Topographic Map Archives: New Opportunities and Challenges
Data Mining for Geoinformatics Methods and Applications
Machine learning techniques applied to geoscience information system and remote sensing
Learning Resources
Additional information related learning resources for topics related to artificial intelligence
Try Machine Learning with ArcGIS
Platforms for making deep learning easier for GIS
Using Deep Learning for Feature Extraction and Classification
Deep learning workflows in ArcGIS; Imagery Workflows resources; ArcGIS Help; ArcGIS blogs, articles, story maps, and white papers; Videos; Learn Lessons; Developer resources; Esri Training; Geonet
Using deep learning to assess palm tree health
These resources and additional topics related to emerging technologies in the geospatial field are located on the Maps & Geospatial: Emerging Technologies Guide.
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