Special issue: Geospatial data analysis through artificial intelligence: editorial column Tanupriya Choudhury Jung-Sup Um EditorialNotes 25 November 2023 Pages: 1 - 2 A bibliometric review of geospatial analyses and artificial intelligence literature in agriculture Ahmed Karmaoui Samir El Jaafari L...
Henriques, Roberto André Pereira.Universidade NOVA de Lisboa (Portugal).Henriques, R. A. P. (2011). Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science. Lisbon: ISEGI....
“Some Suggestions concerning the Development of Artificial Intelligence Tools for Spatial Modelling and Analysis in GIS.” Annals of Regional Science 26.1 (1992): 35–51. DOI: 10.1007/BF01581479 Key landmarks in the development process of AI tools for spatial modeling and analysis in GIS may...
Artificial intelligence (AI) and machine learning (ML) has supercharged organizations’ ability to analyze vast quantities of geospatial data. AI and many of its subdomains, including ML and computer vision, automate information extraction to more quickly deliver real-time geospatial insights, such as...
Analysis techniques such as prediction, classification, and regression are forms of machine learning, and they have been driving geographic information systems (GIS) and other business intelligence technologies for years. Those forms of machine learning exist on the remedial side of the artificial intell...
In partnership with Lenovo, Vatsavai is applying artificial intelligence (AI) and deep-learning algorithms to the problem of global crop monitoring with the hopes of “optimizing the needs of future populations.” While global food production currently surpasses need, this will likely not be ...
Geocomputation and geospatial artificial intelligence (GeoAI) have essential roles in advancing geographic information science (GIS) and Earth observation to a new stage. GeoAI has enhanced traditional geospatial analysis and mapping, altering the methods for understanding and managing complex human–natural...
Earth observation, Remote sensing, GIScience, Geospatial analysis, Climate change, Land use analysis, Ethical considerations Teams Geospatial Intelligence Lab, Curtin University International Society for Spatial Methods Spatial Data Lab, Harvard University ...
Simplify the analysis of Earth observation data with an enterprise-grade geospatial modeling & deployment environment & fully hosted engineering backend.
Project Planning, Design & Delivery Computing Platforms & Advanced AnalyticsUsing machine learning, we’re leveraging artificial intelligence over cloud computing and developing predictive technology solutions to address a wide spectrum of engineering challenges in physical and natural infrastructure. ...