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Massive Data Sets Proceedings of a Workshop (1996) / Chapter Skim
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Some Ideas About the Exploratory Spatial Analysis of Large Data Sets
Pages 149-156

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From page 149...
... Suddenly, most map and 19S0's in conjunction ss ith Technology are creating an - 0 -, , map related databases have increasingly- fine resolution geography on them. The paper map using industries throughout the florid have gone cligita,1.
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From page 150...
... Examples in the UK would include the non-analysis of much spatially referenced information: examples include most types of cancer data, mortality data real-time crime event data, pollution data, data needed for real-time local weather forecasting, climatic change information, and personal information about people ~ ho are to be targeted for special assistance because they exist in various states of deprivation. There are many examples too involving the spatial non-analysis of major central and local government databases: for example.
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From page 151...
... patterns, and relationships found in and amongst map referenced data of one form or another. The GIS revolution has greatl\ increased the supply of spatiall;referenced data without any similar provision of new spatial analysis tools able to cope with even the basic analysis needs of users with very large spatial databases.
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From page 152...
... It is useful, therefore, to briefly review some of the developments that appear to be needed to handle the geographical analysis of massive spatial databases. 3.1 Automated map pattern detectors One strategy is to use a brute force approach and simply loot: ever\-where for evidence of localised patterns.
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From page 153...
... In the early computer and data starved era geographers tested many of these pattern hypotheses using statistical methods, and looked forward to better resolution data so that new and more refined spatial patterns might be found. ~O\Nthat there is such an incredible wealth of spatial detail, it is clear that here too there is no good ideas of what to do with it!
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From page 154...
... 3.5 Neurofuzzy and hybrid spatial modelling systems for very large data bases Recent developments in AI, in neural networks and fuzzy logic modelling have created `-er,N, powerful tools that can be used in geographical analysis. The problem is applying them to `-er`- large spatial databases.
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From page 155...
... 1994d A concepts rich approach to spatial analysis. theory generation and scient:iJ7c discovery in GIS using mas.sively paraile!
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From page 156...
... S.. 1995 Developing automated and smart spatial pattern exploitation tools for geographicalinformationsystems.
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Key Terms

  • spatial analysis
  • geographical analysis
  • spatial databases
  • data rich
  • exploratory spatial

  • analysis technology
  • spatially referenced
  • analysis tools
  • related databases
  • people related

  • user controlled
  • spatial pattern
  • spatial database
  • spatial statistical
  • massive databases

  • geographical correlates
  • map related
  • file form
  • correlates exploration
  • referenced data

  • prior knowledge
  • exploration machine
  • exploratory tools
  • spatial patterns
  • rich environments

  • intelligent data
  • security payments
  • suspected leukaemia
  • continuous time
  • mapping agencies


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