8. Optimizing the Interpolation of Temperatures by GIS: A Space Analysis Approach

  1. Hartwig Dobesch,
  2. Pierre Dumolard and
  3. Izabela Dyras
  1. Jean-Christophe Loubier

Published Online: 5 JAN 2010

DOI: 10.1002/9780470612262.ch8

Spatial Interpolation for Climate Data: The Use of GIS in Climatology and Meteorology

Spatial Interpolation for Climate Data: The Use of GIS in Climatology and Meteorology

How to Cite

Loubier, J.-C. (2007) Optimizing the Interpolation of Temperatures by GIS: A Space Analysis Approach, in Spatial Interpolation for Climate Data: The Use of GIS in Climatology and Meteorology (eds H. Dobesch, P. Dumolard and I. Dyras), ISTE, London, UK. doi: 10.1002/9780470612262.ch8

Publication History

  1. Published Online: 5 JAN 2010
  2. Published Print: 1 JAN 2007

ISBN Information

Print ISBN: 9781905209705

Online ISBN: 9780470612262

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Keywords:

  • heterogenous space;
  • information management;
  • optimal positioning;
  • interpolators;
  • constraints

Summary

This chapter contains sections titled:

  • Limits of the interpolation in a heterogenous space

  • Optimizing the spatial distribution of the stations

  • Underlying space assumptions

  • Theoretical structure of our model

  • The process of linear modeling for the selected factors

  • Determination of the optimal positioning of P

  • An example of implementation

  • Consequences and spatial/structural understanding

  • Determination of authorized spaces

  • Taking uncertainty into account: a choice/given couple

  • The standardization process

  • Results for the addition of stations

  • Authorized interpolators

  • Conclusion

  • Bibliography