diff --git a/CITATION.cff b/CITATION.cff index 579f0ede..6aa7021d 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -16,14 +16,14 @@ 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 + 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"