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+cff-version: 1.2.0
+message: If you use this work, please cite it as below.
+authors:
+  - family-names: Wang
+    given-names: Boyu
+  - family-names: Hess
+    given-names: Vincent
+  - family-names: Crooks
+    given-names: Andrew
+title: "Mesa-Geo: A GIS Extension for the Mesa Agent-Based Modeling Framework in
+  Python"
+year: 2022
+isbn: "9781450395373"
+publisher: Association for Computing Machinery
+address: New York, NY, USA
+url: https://doi.org/10.1145/3557989.3566157
+doi: 10.1145/3557989.3566157
+abstract: >
+  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 biology to workforce dynamics.
+  However, there has been no direct support  for integrating geographical data
+  from geographical information systems (GIS) into models created with
+  Mesa.  Users have had to rely on their own implementations to meet such needs.
+  In this paper we present Mesa-Geo,  a GIS extension for Mesa, which allows
+  users to import, manipulate, visualise and export geographical data  for ABM.
+  We introduce the main components and functionalities of Mesa-Geo, followed by
+  example applications  utilizing geographical data which demonstrates
+  Mesa-Geo's core functionalities and features common to  agent-based models.
+  Finally, we conclude with a discussion and outlook on future directions for
+  Mesa-Geo.
+type: conference-paper
+booktitle: Proceedings of the 5th ACM SIGSPATIAL International Workshop on
+  GeoSpatial Simulation
+pages: 1–10
+numpages: 10
+keywords:
+  - agent-based modeling (ABM)
+  - geographic information systems (GIS)
+  - complex systems
+  - Python
+location: Seattle, Washington
+series: GeoSim '22