diff --git a/CITATION.cff b/CITATION.cff index 6aa7021d..52819998 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -1,38 +1,44 @@ cff-version: 1.2.0 -message: "If you use this work, please cite it as below." +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" -type: conference-paper + - 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" +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. -book-title: "Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation" -pages: "1–10" + 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 -conference: - name: "5th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation" - location: "Seattle, Washington" - series: "GeoSim '22" +location: Seattle, Washington +series: GeoSim '22