Table of Contents
Conventional, Neural, and Genetic Spatial Interaction Models
Contents
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First Some Introductory Comments
There is an increasingly serious problem caused by IT developments ..
its called ?????????
DATA
AND..
there are LOTS of it!
Everyday there is More DATA than previously
More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and More Data and
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and
More DATA
=
?
A bigger ...
No!We now store it in Data Archives also called Data Warehouses and Data marts!
And
AND
Much of the Information is Spatially Referenced
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Much of the DATA are SPATIAL INTERACTION data
Now...you would think that ??
Geographic Information Systems
BUT
Where are the tools for Analysis and Modelling that can cope?
A new era that is Spatial Data Rich needs a New Set of Modelling and Analysis Tools to exploit the data
The ReBirth of Spatial Interaction Modelling reflects the FACT that much of the DATA RICHES are flow data of sort or another
Spatial Interaction Models are:
Creating FLOW data
Flow data aggregation
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Geographical AGGREGATION tends to be very useful at drawing out the patterns in databases
Aggregation creates the Flow Data that Spatial Interaction Models can handle
the HARDEST part in Spatial Interaction Modelling is understanding the basic components
An Example of a Flow Matrix
Basics of Flow Tables or Interaction Matrices..
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The key inputs to a Spatial Interaction Model are..
The REALLY HARD PART is...
What is a CONSTRAINED model?
Basic Sequence of Steps in Spatial Interaction Modelling
SIMS makes these tasks easy
The traditional route to understanding SI models is via equations
??????????????
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The SIMS allows you to treat the process as a series of Black Boxs
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The Modelling Process..
Calibration
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Which model is BEST?
So what can you change to improve a Model ‘s fit to data?
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SIMS  Spatial Interaction Modelling System
SIMS .. continued
SIMS .. continued
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Why?
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In the Age of Data Warehouses the new needs are for: Data Driven Modellingvia Inductive Mechanisms
GeoComputation Paradigm
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Neurocomputing is very attractive technology because:
More...
it WORKS!
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Neural Headaches
Black Box Modelling of processes is regarded as unhelpful!
BUT..
Neurocomputing is now an accepted and widely diffused technology
An illustrative empirical study comparing the performance of: maths models, neural nets, fuzzy logic, and genetically bred models of spatial interaction
Generic Modelling Process
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Some Evaluation data
A quick look at FOUR different modelling approaches to Spatial Interaction
Conventional Models
Artificial Neural Networks
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Genetic Model Breeder
Model Pieces
Genetic Coding
Model Breeding Results
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Fuzzy Logic Spatial Interaction Models
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Results
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Conclusions
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