Displaying 4 of 4 results geosimulation clear filters
Spatial and temporal thinking is important not just because everything happens at some places and at some time, but because knowing where and when things are happening is key to understanding how and why they happened or will happen. Spatial data science is concerned with the representation, modeling, and simulation of spatial processes, as well as with the publication, retrieval, reuse, integration, and analysis of such space- and place-centric data.
AAG2024|Second Call for Abstracts: Geosimulations for Addressing Societal Challenges
ABM based presentation opportunities at AAG 2024 conference
The GeoSim 2022 workshop focuses on all aspects of geospatial simulation as a paradigm to understand, model, and predict spatial phenomena and aid decision making. New simulation methodologies an[…]