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Conditional probability approach to spatial interaction
Published online by Cambridge University Press: 01 July 2016
Extract
The merits of a conditional probability (or Markovian) approach to the analysis of local spatial interaction lie in its intuitive appeal and its ability to cope with non-Gaussian situations. Whilst relationships between plausible spatial-temporal models and Markov fields may sometimes be obtained, this does not remove the need for a purely spatial approach to be available. In addition to promoting the above point of view, some Monte Carlo simulation results, due to Mr. D. H. Green, were presented. Analytical progress on coding efficiency was reported.
- Type
- Analysis of Spatial Interaction
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- Copyright © Applied Probability Trust 1975