Coupling Agent-Based Modelling with Geographic Information Systems for Environmental Studies—A Review

2020 ◽  
pp. 225-249 ◽  
Author(s):  
Tanya Cristina Esteves ◽  
Fátima Lopes Alves ◽  
Eric Vaz
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Coupling Agent ◽  
Environmental Studies ◽  
Geographic Information ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals ENGAGING YOUTH THROUGH SPATIAL SOCIO-TECHNICAL STORYTELLING, PARTICIPATORY GIS, AGENT-BASED MODELING, ONLINE GEOGAMES AND ACTION PROJECTS

2017 ◽  
Vol IV-4/W3 ◽  
pp. 55-62 ◽  
Author(s):  
A. Poplin ◽  
L. Shenk ◽  
C. Krejci ◽  
U. Passe
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Future Research ◽  
Participatory Gis ◽  
Agent Based ◽  
Des Moines ◽  
First Results ◽  
Future Research Directions ◽  
Action Projects

The main goal of this paper is to present the conceptual framework for engaging youth in urban planning activities that simultaneously create locally meaningful positive change. The framework for engaging youth interlinks the use of IT tools such as geographic information systems (GIS), agent-based modelling (ABM), online serious games, and mobile participatory geographic information systems with map-based storytelling and action projects. We summarize the elements of our framework and the first results gained in the program Community Growers established in a neighbourhood community of Des Moines, the capital of Iowa, USA. We conclude the paper with a discussion and future research directions.

scholarly journals Combining Geographic Information Systems and Agent-Based Models in Archaeology: Part 2 of 3

2019 ◽  
Author(s):  
Benjamin Davies ◽  
Iza Romanowska ◽  
Kathryn Harris ◽  
Stefani Crabtree
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Data ◽  
Social Dynamics ◽  
Geographic Information ◽  
Agent Based Modeling ◽  
Geospatial Technologies ◽  
Agent Based ◽  
Collection And Management ◽  
Static Nature

Archaeologists are using spatial data in increasingly sophisticated analyses and invoking more explicit considerations of space in their interpretations. Geographic information systems (GIS) have become standard technology for professional archaeologists in the collection and management of spatial data. Many calls have been made to develop and adapt digital geospatial technologies for interpretation and understanding past social dynamics, but this has been limited to some extent by the static nature of map-oriented GIS approaches. Here, we illustrate how coupling GIS with agent-based modeling (ABM) can assist with more dynamic explorations of past uses of space and geospatial phenomena.

scholarly journals Combining Geographic Information Systems and Agent-Based Models in Archaeology: Part 2 of 3

2019 ◽  
Vol 7 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Benjamin Davies ◽  
Iza Romanowska ◽  
Kathryn Harris ◽  
Stefani A. Crabtree
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Data ◽  
Social Dynamics ◽  
Geographic Information ◽  
Agent Based Modeling ◽  
Geospatial Technologies ◽  
Agent Based ◽  
Collection And Management ◽  
Static Nature

ABSTRACTArchaeologists are using spatial data in increasingly sophisticated analyses and invoking more explicit considerations of space in their interpretations. Geographic information systems (GIS) have become standard technology for professional archaeologists in the collection and management of spatial data. Many calls have been made to develop and adapt digital geospatial technologies for interpretation and understanding past social dynamics, but this has been limited to some extent by the static nature of map-oriented GIS approaches. Here, we illustrate how coupling GIS with agent-based modeling (ABM) can assist with more dynamic explorations of past uses of space and geospatial phenomena.

An Agent-Based Approach to Environmental and Urban Systems within Geographic Information Systems

2002 ◽  
Author(s):  
Bin Jiang ◽  
H. Randy Gimblett
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Complex Systems ◽  
Geographic Information ◽  
Space Time ◽  
Urban Systems ◽  
Agent Based ◽  
Time Dynamics ◽  
Long Time ◽  
Terrain Representation

Both environment and urban systems are complex systems that are intrinsically spatially and temporally organized. Geographic information systems (GIS) provide a platform to deal with such complex systems, both from modeling and visualization points of view. For a long time, cell-based GIS has been widely used for modeling urban and environment system from various perspectives such as digital terrain representation, overlay, distance mapping, etc. Recently temporal GIS (TGIS) has been challenged to model dynamic aspects of urban and environment system (e.g., Langran, Clifford and Tuzhilin, Egenhofer and Golledge), in pursuit of better understanding and perception of both spatial and temporal aspects of these systems. In regional and urban sciences, cellular automata (CA) provide useful methods and tools for studying how regional and urban systems evolve. Because of its conceptual resemblance to cell-based GIS, CA have been extensively used to integrate GIS as potentially useful qualitative forecasting models. This approach intends to look at urban and environment systems as self-organized processes; i.e., how coherent global patterns emerge from local interaction. Thus this approach differentiates it from TGIS in that there is no database support for space-time dynamics. An agent-based approach was initially developed from distributed artificial intelligence (DAI). The basic idea of agent-based approaches is that programs exhibit behaviors entirely described by their internal mechanisms. By linking an individual to a program, it is possible to simulate an artificial world inhabited by interacting processes. Thus it is possible to implement simulation by transposing the population of a real system to its artificial counterpart. Each member of population is represented as an agent who has built-in behaviors. Agent-based approaches provide a platform for modeling situations in which there are large numbers of individuals that can create complex behaviors. It is likely to be of particular interest for modeling space-time dynamics in environmental and urban systems, because it allows researchers to explore relationships between microlevel individual actions and the emergent macrolevel phenomena. An agent-based approach has great potential for modeling environmental and urban systems within GIS. Previous work has focused on modeling people environment interaction, virtual ecosystems, and integration of agent based approach and GIS.

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