Fix CITATION.cff

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