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AgentBased Modelling and Intergration with GIS

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Title: AgentBased Modelling and Intergration with GIS


1
Agent-Based Modelling and Intergration with GIS
  • Material and concepts borrowed from UCL Working
    Paper 110 September 2006 Principles and Concepts
    of Agent-Based Modelling for Developing
    Geospatial Simulations by Castle and Crooks
    (2006) at the following link
  • http//www.casa.ucl.ac.uk/working_papers/paper110.
    pdf

2
Why model with ABM and link to GIS?
  • ABM can model complex spatial relationships
  • GIS has robust tools for spatial analysis
  • By linking ABM and GIS, one can take advantage of
    both programs

3
Types of Models
  • Analog (scale models)
  • Digital Models (not dependent on scale, but
    resolution)
  • Temporal resolution is also important
  • Individual (disagregate) or Aggregate
  • Exploratory, Explanatory, Predictive

4
Review of ABM Characteristics
  • Autonomy
  • Heterogeneity
  • Active
  • Pro-Active-Goal Directed
  • Reactive-Perceptive
  • Bounded Reality
  • Interactive-Communative
  • Mobility
  • Adaptatation-Learning
  • Emergernt

5
ABM and Geospatial Research
  • Despite the advantages of ABM to spatial
    modelling, it has not been widely utilized
  • In 1971, Schelling proved that ABM could model
    segregation
  • Epstein and Axtell (1996) extended this to
    modelling people and cities to understand the
    emergence of spatial patterns (see Ethnocentrism
    and Segregation models in Netlogo)
  • Their Sugarscape model showed that ABM could
    demonstrate emerging spatial patterns (See
    Starlogo under the Social Systems folder)

6
Criticisms of GIS
  • Difficult to understand how GIS which is static
    can cope with dynamic processes
  • GIS presently does not intergrate well with
    modelling
  • Advantages of coupling with GIS is its well
    developed spatial analysis tools
  • Previsiously used exclusive software and not open
    sourcenot interoperable

7
Representing Time and Space
  • Two main challenges
  • Continuous data over a period of time are rarely
    available
  • Data models that can record and store continous
    data are still in their beginning states (Haywood
    et al. 2006)

8
Linkage-Coupling versus Intergration and Embedding
  • Coupling is defined as linkage of two stand alone
    systems by data transfer
  • Three types1. loose coupling-data exchanged
    between systems in form of files2. moderate
    coupling-combination between loose and
    tight/close coupling3. Tight/close
    coupling-simulateous operationof systems allowing
    direct inter-system communication (i.e.,
    Microsofts Com and .NET allow this function)
  • An alternative is GIS-centric or modelling
    centric where capabilities can be called from the
    dominant system usually via a GUI (Repast uses
    GeoTools and OpenMap for visualization) Agent
    Analysts which links Repast to ArcGIS is such an
    example

9
Conclusions
  • ABM is useful for modelling and capturing
    emerging phenomena
  • GIS is a useful medium for developing spatial
    data and for the display of the output
  • GIS-centric or modelling centric is the most
    promising to bring ABM and GIS together
  • For a further examination on how Repast can be
    used in combination with GIS refer to UCL Working
    Paper 123-September 2007 The Repast
    Simulation/Modelling Sytem for Geospatial
    Simulation located at http//www.casa.ucl.ac.uk/w
    orking_papers/paper123.pdf
  • (Note these links are also located on the course
    schedule at http//www.fatih.edu.tr/mcadams/geo3
    91/cal.htm )
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