Spatiotemporal forecasting of home prices: aGIS application

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Mak Kaboudan",
  title =        "Spatiotemporal forecasting of home prices: aGIS
  year =         "2005",
  booktitle =    "The 16th IFAC World Congress",
  editor =       "Pavel Zitek",
  address =      "Prague",
  month =        jul # " 4-8",
  organisation = "IFAC",
  publisher =    "Elsevier Science Ltd",
  note =         "A paper presented during",
  email =        "",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  ISBN =         "0-08-045108-X",
  size =         "5 pages",
  abstract =     "Computational techniques may be useful in modelling
                 and forecasting spatiotemporal data. Statistical
                 challenges that emanate from specification error,
                 aggregation error, measurement error, and perhaps model
                 complexity among other problems encourage employing
                 computational techniques. Genetic programming and
                 neural networks are two such techniques that are robust
                 with respect to autocorrelation, multicollinearity, and
                 stationarity problems statistical and econometric
                 methods encounter. These two computational techniques
                 are employed to demonstrate their potential in
                 producing dynamic forecasts of spatial data. Such
                 forecasts can then help produce sequences of maps of
                 the same geographic region depicting future temporal
  notes =        "Additional info from

Genetic Programming entries for Mahmoud A Kaboudan