Whose Hand on the Tiller? Revisiting “Spatial Statistical Analysis and GIS”

  • Michael F. GoodchildEmail author
Part of the Advances in Spatial Science book series (ADVSPATIAL)


Anselin and Getis argue in their 1992 paper “Spatial statistical analysis and GIS” that the development of a toolbox of spatial analytic techniques should be directed by the scientists whose work defines the need for such a toolbox. The field of GIS has changed fundamentally since 1992 as a result of new technical developments, including a general move away from the map as the defining metaphor, the influence of the Internet and the World Wide Web, and changes in the practice of software engineering. Science as a whole has also changed, towards a more collaborative model that is more dependent on computational infrastructure. The impacts of space on the methodology of science are also better understood. The Anselin and Getis paper was remarkably prescient in its identification of the major issues that continue to affect the relationship between spatial analysis and GIS. Institutional issues continue to frame the relationship between GIS and spatial analysis, and are best addressed through partnerships.


Geographic Information System Spatial Analysis Geographic Information System Software Academic Sector Geographic Information System Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Abler RF (1987) The National Science Foundation National Center for Geographic Information and Analysis. Int J Geogr Inf Syst 1:303–336CrossRefGoogle Scholar
  2. Anselin L (1995) Local indicators of spatial association-LISA. Geogr Anal 27:93–115CrossRefGoogle Scholar
  3. Anselin L, Getis A (1992) Spatial statistical analysis and geographic information systems. Ann Reg Sci 26:19–33CrossRefGoogle Scholar
  4. Arctur D, Zeiler M (2004) Designing geodatabases: case studies in GIS data modeling. ESRI, Redlands, CAGoogle Scholar
  5. Atkins DE, Droegemeier KK, Feldman SI, Garcia-Molina H, Klein ML, Messerschmitt DG, Messina P, Ostriker JP, Wright MH (2003) Revolutionizing science and engeineering through cyberinfrastructure. Working paper, National Science FoundationGoogle Scholar
  6. Burrough PA (1990) Methods of spatial analysis in GIS. Int J Geogr Inf Syst 4:221–223Google Scholar
  7. Cowen DJ (1988) GIS versus CAD versus DBMS: what are the differences. Photogramm Eng Remote Sens 54:1551–1555Google Scholar
  8. Crosier SJ, Goodchild MF, Hill LL, Smith TR (2003) Developing an infrastructure for sharing environmental models. Environ Plann B Plann Des 30:487–501CrossRefGoogle Scholar
  9. Ding Y, Fotheringham AS (1992) The integration of spatial analysis and GIS. Comput Environ Urban Syst 16:3–19CrossRefGoogle Scholar
  10. Fischer MM (1997) Computational neural networks: a new paradigm for spatial analysis. Environ Plan A 30:1873–1891CrossRefGoogle Scholar
  11. Fischer MM, Leung Y (1998) A genetic-algorithms based evolutionary computational neural network for modelling spatial interaction dataNeural network for modelling spatial interaction data. Ann Reg Sci 32:437–458CrossRefGoogle Scholar
  12. Fotheringham AS, Rogerson P (1994) Spatial analysis and GIS. Taylor & Francis, LondonGoogle Scholar
  13. Fotheringham AS, Brunsdon C, Charlton ME (2002) Geographically weighted regression: the analysis of spatially varying relationships. Wiley, New YorkGoogle Scholar
  14. Goodchild MF (1987) A spatial analytical perspective on geographical information systems. Int J Geogr Inf Sci 1:327–334CrossRefGoogle Scholar
  15. Goodchild MF, Gopal S (1989) The accuracy of spatial databases. CRC, Boca RatonGoogle Scholar
  16. Goodchild MF, Haining RP, Wise S (1992) Integrating GIS and spatial data analysis: problems and possibilities. Int J Geogr Inf Sci 6:407–423CrossRefGoogle Scholar
  17. Longley PA, Goodchild MF, Maguire DJ, Rhind DW (1999) Geographical information systems, 2nd edn. Wiley, New YorkGoogle Scholar
  18. Maguire DJ (1991) An overview and definition of GIS. In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical information systems: principles and applications. Longman Scientific and Technical, Harlow, pp 9–20Google Scholar
  19. Maguire DJ, Dangermond J (1991) The functionality of GIS. In: Maguire DJ, Goodchild MF, Rhind DW (eds) Geographical information systems: principles and applications, vol 1. Longman Scientific & Technical, Harlow, pp 319–335Google Scholar
  20. Maguire DJ, Michael B, Goodchild MF (2005) GIS, spatial analysis and modelling. ESRI, Redlands, CAGoogle Scholar
  21. Maling DH (1989) Measurements from maps: principles and methods of cartometry. Pergamon, New YorkGoogle Scholar
  22. Mitchell A (1999) The ESRI guide to GIS analysis. ESRI, Redlands, CAGoogle Scholar
  23. Nebert D (1993) Implementation of wide area information server (WAIS) software to disseminate spatial data on the internet. In: International ESRI User Conference. Palm SpringsGoogle Scholar
  24. Nyerges TL (1993) Understanding the scope of GIS: its relationship to environmental modeling. In: Goodchild MF, Parks B, Steyaert L (eds) Environmental modeling with GIS. Oxford University Press, New York, pp 75–93Google Scholar
  25. Openshaw S, Charlton ME, Wymer C, Craft A (1987) A Mark I geographical analysis machine for the automated analysis of point data sets. Int J Geogr Inf Syst 1:335–358CrossRefGoogle Scholar
  26. Openshaw S, Cross A, Charlton ME (1990) Building a prototype geographical correlates exploration machine. Int J Geogr Inf Sci 4:297–311CrossRefGoogle Scholar
  27. Pickles J (1995) Ground truth: the social implications of geographic information systems. Guilford, New YorkGoogle Scholar
  28. Skupin A, Hagelman R (2005) Visualizing demographic trajectories with self-organizing maps. GeoInformatica 9:159–179CrossRefGoogle Scholar
  29. Tobler WR (1970) A computer movie simulating urban growth in the Detroit region. Econ Geogr 46:234–240CrossRefGoogle Scholar
  30. Ungerer MJ, Goodchild MF (2002) Integrating spatial data analysis and gis: a new implementation using the component object model (com). Int J Geogr Inf Sci 16:41–53CrossRefGoogle Scholar
  31. Zeiler M (1999) Modeling our world: the ESRI guide to geodatabase design. ESRI, Redlands, CAGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.National Center for Geographic Information and Analysis and Department of GeographyUniversity of CaliforniaSanta BarbaraUSA

Personalised recommendations