Spatial process and data models: Toward integration of agent-based models and GIS

  title={Spatial process and data models: Toward integration of agent-based models and GIS},
  author={Daniel G. Brown and Rick L. Riolo and Derek T. Robinson and Michael J. North and William Rand},
  journal={Journal of Geographical Systems},
Abstract.The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how tight coupling might proceed and to evaluate the possible functional and efficiency gains from such a tight coupling, we identify four key relationships affecting how geographic data (fields and objects) and agent-based process models can interact: identity, causal… 
Integration agent-based models and GIS as a virtual urban dynamic laboratory
A tight-coupling integrating method of GIS and Agent-based Model (ABM) and the use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena such as urban dynamic.
Spatially aware agents: an effective and efficient use of GIS data within an agent-based model
Methods and recommendations on including GIS data in a complex simulation model of agent-based modeling and its applications to an advanced epidemiological model are presented.
The Integration of Agent-Based Modelling and Geographical Information for Geospatial Simulation
This chapter focuses on the integration of Geographical Information System (GIS) and Agent-based modelling (ABM) and review a selection of toolkits which allow for such integration and offers practical guidelines for choosing a simulation/modelling system.
Entities and Relations for Agent-Based Modelling of Complex Spatial Systems
This work defines requirements for representing geospatial entities and their relations, and study seven agent-based modelling toolkits (NetLogo, OBEUS, Repast, Swarm, Cormas, GRSP, and TerraME), analysing their capabilities to address the proposed requirements.
Spatial agent‐based modelling
Though the papers here tended to focus on issues associated with using agent-based modelling in representational mode, a couple of papers hinted at instrumental uses; Graniero and Robinson present a framework for building coupled agentlandscape models and illustrate the framework with representationalAgent-based.
An Architecture for Agent-based Modelling and Simulation of Geospatial Phenomena
This work presents a general architecture for buil ding and simulating agent-based models that use real-world g eospatial data, take into account all the ways geospatial data can feed these models.
Semantically-Enhanced Virtual Geographic Environments for Multi-Agent Geo-Simulation
This chapter proposes a novel approach to automatically build an accurate IVGE using an exact decomposition of realistic spatial data provided by Geographic Information System (GIS).
Using GIS vector data to build virtual environments for agent based models
Two possible approaches: discrete and continuous agent space modeling are compared and it is shown that first applications are possible, but that more community support is needed.
Modelling the spatial evolution of map objects by map agents
To overcome the weakness of modelling the relationships between map objects that represent the same geographic entities or phenomena at different times and scales, an agent-based approach is


Fields as a framework for integrating GIS and environmental process models. Part 1: Representing spatial continuity
This paper outlines a strategy in which field variables are used to enable modellers to work directly with the spatial data as spatially continuous phenomena and creates a mechanism for the explicit expression of transformation rules between the different spatial data models stored and manipulated by a GIS.
A working prototype of a dynamic geographical information system
The theory, methods, and technologies upon which the DGIS system is designed and implemented are described and how it can support complex spatial simulations are discussed.
Extending geographical representation to include fields of spatial objects
A means for linking field and object representations of geographical space based on a series of mappings, where locations in a continuous field are mapped to discrete objects is described.
An Event-Based Spatiotemporal Data Model (ESTDM) for Temporal Analysis of Geographical Data
A new spatio-temporal representation of spatiotemporal data based on traditional raster and vector representations is proposed, which is as well-suited for analysing overall temporal relationships of events and patterns of events throughout a geographical area as a temporally-based representation.
Representing Complex Geographic Phenomena in GIS
Conventionally, spatial data models have been designed according to object- or field-based conceptualizations of reality. Conceptualization of complex geographic phenomena that have both object- and
Time in geographic information systems
A conceptual model of geographic change that treats only changed data over time, then extends the conceptual model to common geographic data types, and introduces a taxonomy of multidimensional access methods for solving the problem of responding to ad hoc queries to a spatiotemporal database.
A Unified Model for Spatial and Temporal Information
A unified generic model for information which is referenced to two spatial dimensions and two temporal dimensions (database and event times) is discussed.
From Cellular Automata to Urban Models: New Principles for Model Development and Implementation
This paper proposes that the theoretical problem can find a satisfactory answer in the notion of proximal space and the practical one can be handled successfully within the formalism of geo-algebra, a mathematical expression of proximate space which builds a bridge between GIS data and operations.
Object-oriented design for temporal GIS
  • M. Wachowicz
  • Computer Science
    Research monographs in geographic information systems
  • 1999
The author demonstrates how this knowledge might be used in a wide range of applications such as political boundary record maintenance, disease incidence rate analysis in epidemics, and environmental studies of climate change (time-series data).
Spatial data analysis
  • P. Raju
  • Computer Science, Environmental Science
  • 2021
GIS functionality far exceeds the purposes of mapping and report compilation, and functions required for performing spatial analyses that are not available in either cartographic packages or data base management systems are commonly implemented in GIS.