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GeoSim '22: Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation
ACM2022 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems Seattle Washington 1 November 2022
ISBN:
978-1-4503-9537-3
Published:
01 November 2022
Sponsors:

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Abstract

Computer simulations are paramount for the analysis of complex geographic phenomena and their outcomes. The analysis of such geosimulation models is crucial for solving real-world problems pertaining to complex spatial systems, such as urban areas, transportation networks, as well as natural, built, and social environments. Within this nexus, the geosimulation community works on addressing several challenges of great urgency, ranging from multi-agent based spatial simulation, big spatial data, parallelization and distribution, as well as verification and validation. The ACM SIGSPATIAL International Workshop on GeoSpatial Simulation attempts to be a platform for showcasing the advances within the field, and to act as an incubator for novel and ambitious projects.

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research-article
Mesa-Geo: A GIS Extension for the Mesa Agent-Based Modeling Framework in Python

Mesa is an open-source agent-based modeling (ABM) framework implemented in the Python programming language, allowing users to build and visualize agent-based models. It has been used in a diverse range of application areas over the years ranging from ...

research-article
Public Access
Towards geographically robust statistically significant regional colocation pattern detection

Given a set S of spatial feature-types, its feature-instances, a study area, and a neighbor relationship, the goal is to find pairs <a region (rg), a subset C of S> such that C is a statistically significant regional colocation pattern in region rg. For ...

short-paper
Spatial cooperative scenario simulation for infrastructure siting in Guangdong-HongKong-Macao Greater Bay Area

Siting transportation infrastructures such highway and highspeed railway connects cities and benefits the coordinate development in urban agglomerations. Previous infrastructure siting models rely on the expert experience or spatial-support decision ...

Contributors
  • George Mason University
  • The University of Utah
  • Emory University
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Acceptance Rates

Overall Acceptance Rate 16 of 24 submissions, 67%
YearSubmittedAcceptedRate
GeoSim '2014964%
GeoSim '1910770%
Overall241667%