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Spatial data analysis : theory and practice / Robert Haining.

By: Cambridge, UK ; Cambridge University Press, 2003New York : Cambridge University Press, 2003Description: xx, 432 p. : ill., maps ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0521773199 (hbk.)
  • 9780521773195 (hbk.)
  • 0521774373 (pbk.)
  • 9780521774376 (pbk.)
Subject(s): LOC classification:
  • QA278.2 .H345 2003
  • G70.3 .H345 2003
Contents:
Part A: The context for spatial data analysis -- 1.Spatial data analysis: scientific and policy context -- 2.The nature of spatial data -- Part B: Spatial data: obtaining data and quality issues -- 3.Obtaining spatial data through sampling -- 4.Data quality: implications for spatial data analysis -- Part C: The exploratory analysis of spatial data -- 5.Exploratory spatial data analysis: conceptual models -- 6.Exploratory spatial data analysis: visualization methods -- 7.Exploratory spatial data analysis: numerical methods -- Part D: Hypothesis testing and spatial autocorrelation -- 8.Hypothesis testing in the presence of spatial dependence -- Part E: Modelling spatial data -- 9.Models for the statistical analysis of spatial data -- 10.Statistical modelling of spatial variation: descriptive modelling -- 11.Statistical modelling of spatial variation: explanatory modelling.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Foothills Lab QA278.2 .H345 2003 1 Available 50583010337917
Total holds: 0

Includes bibliographical references (p. 394-423) and index.

Part A: The context for spatial data analysis -- 1.Spatial data analysis: scientific and policy context -- 2.The nature of spatial data -- Part B: Spatial data: obtaining data and quality issues -- 3.Obtaining spatial data through sampling -- 4.Data quality: implications for spatial data analysis -- Part C: The exploratory analysis of spatial data -- 5.Exploratory spatial data analysis: conceptual models -- 6.Exploratory spatial data analysis: visualization methods -- 7.Exploratory spatial data analysis: numerical methods -- Part D: Hypothesis testing and spatial autocorrelation -- 8.Hypothesis testing in the presence of spatial dependence -- Part E: Modelling spatial data -- 9.Models for the statistical analysis of spatial data -- 10.Statistical modelling of spatial variation: descriptive modelling -- 11.Statistical modelling of spatial variation: explanatory modelling.

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