Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Spatial Data Analysis

  • Michael F. Goodchild
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_353

Synonyms

Geographical analysis; Geographical data analysis; Spatial analysis

Definition

Methods of data analysis perform logical or mathematical manipulations on data in order to test hypotheses, expose anomalies or patterns, or create summaries or views that expose particular traits. Data often refer to specific locations in some space. To qualify as spatial, the locations must be known and must affect the outcome of the analysis. While many spaces might be relevant, including the space of the human brain or the space of the human genome, the history of spatial data analysis is dominated by location in geographic space, in other words location on or near the surface of the Earth. Thus, geographical and spatial are often essentially synonymous. More formally, spatial data analysis can be defined as a set of techniques devised for the manipulation of data whose outcomes are not invariant under relocation of the objects of interest in some space. The term exploratory spatial data analysis...

This is a preview of subscription content, log in to check access.

Recommended Reading

  1. 1.
    Bailey TC, Gatrell AC. Interactive spatial data analysis. New York/Harlow: Longman Scientific & Technical; 1995.Google Scholar
  2. 2.
    Berry BJL, Marble DF. Spatial analysis: a reader in statistical geography. Englewood Cliffs: Prentice Hall; 1968.Google Scholar
  3. 3.
    Bunge W. Theoretical geography. Gleerup: University of Lund; 1966.Google Scholar
  4. 4.
    Fotheringham AS, Brunsdon C, Charlton M. Geographically weighted regression: the analysis of spatially varying relationships. Chichester/Hoboken: Wiley; 2002.zbMATHGoogle Scholar
  5. 5.
    Haining RP. Spatial data analysis: theory and practice. Cambridge/ New York: Cambridge University Press; 2003.CrossRefGoogle Scholar
  6. 6.
    Johnson S. The ghost map: the story of London’s most terrifying epidemic and how it changed science, cities, and the modern world. New York: Riverhead Books; 2006.Google Scholar
  7. 7.
    Longley PA, Goodchild MF, Maguire DJ, Rhind DW. Geographic information systems and science. New York: Wiley; 2005.Google Scholar
  8. 8.
    O’Sullivan D, D.J U. Geographic information analysis. Hoboken: Wiley; 2003.Google Scholar
  9. 9.
    Tomlin CD. Geographic information systems and cartographic modeling. Englewood Cliffs: Prentice Hall; 1990.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of California-Santa BarbaraSanta BarbaraUSA

Section editors and affiliations

  • Ralf Hartmut Güting
    • 1
  1. 1.Computer ScienceUniversity of HagenHagenGermany