Skip to main content
SpringerLink
Log in

Exploratory Spatial Data Analysis Linking SpaceStat and ArcView

  • Chapter
Recent Developments in Spatial Analysis

Part of the book series: Advances in Spatial Science ((ADVSPATIAL))

Abstract

The extension of the functional capacity of geographic information systems with tools for spatial analysis has been an increasingly active area of research in recent years. Following Goodchild’s (1987) call to action [see also Goodchild (1992)], a growing number of conferences and workshops has been devoted to the topic in the academic GIS community, resulting in many articles and several edited volumes [among others, Fischer and Nijkamp (1993), Fotheringham and Rogerson (1994), Painho (1994), Fischer, Scholten and Unwin (1996)]. Among the types of analyses suitable for inclusion within the functionality of a GIS, spatial data analysis in particular has received considerable attention. Several conceptual frameworks have been suggested, proposing different degrees of linkages between GIS and spatial analysis, and outlining the types of spatial statistical techniques that would be most suitable for inclusion [examples are Openshaw (1991), Anselin and Getis (1992), Goodchild et al. (1992), Bailey (1994), Haining (1994), Openshaw and Fischer (1995)]. In broad terms, the proposed linkages can be described as either tight vs. loose [Goodchild et al. (1992)] or as encompassing vs. modular [Anselin and Getis (1992)] depending on the degree to which a module with “traditional” GIS functionality and a data analysis module are integrated into a single software environment.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Anselin L. 1988. Spatial Econometrics: Methods and Models, Dordrecht: Kluwer Academic

    Google Scholar 

  • Anselin L. 1990. What is Special About Spatial Data? Alternative Perspectives on Spatial Data Analysis. in: D.A. Griffith, ed., Spatial Statistics, Past, Present and Future, Ann Arbor, MI: Institute of Mathematical Geography, pp. 63–77

    Google Scholar 

  • Anselin L. 1992. SpaceStat: A Program for the Analysis of Spatial Data, National Center for Geographic Information and Analysis. University of California, Santa Barbara, CA

    Google Scholar 

  • Anselin L. 1994. Exploratory Spatial Data Analysis and Geographic Information Systems, in: M. Painho ed., New Tools for Spatial Analysis, Luxembourg: Eurostat, pp. 45–54

    Google Scholar 

  • Anselin L. 1995a. SpaceStat Version 1.80 User’s Guide, Regional Research Institute. West Virginia University, Morgantown, WV

    Google Scholar 

  • Anselin L. 1995b. Local Indicators of Spatial Association — LISA. Geographical Analysis 27: 93–115

    Article  Google Scholar 

  • Anselin L. 1996. The Moran Scatterplot as an ESDA Tool To Assess Local Instability in Spatial Association, in: M. Fischer. H. Scholten and D. Unwin. eds., Spatial Analytical Perspectives on GIS in Environmental and Socio-Economic Sciences. London: Taylor and Francis

    Google Scholar 

  • Ansel in L. I 997a. Interactive Techniques and Exploratory Spatial Data Analysis. in: P. Longley. M. Goodchild. D. Maguire and D. Rhind (eds.), Geographical Information Systems: Principles, Techniques, Management and Applications. Cambridge: Geoinformation International

    Google Scholar 

  • Anselin L. 1997b. GIS Research Infrastructure for Spatial Analysis of Real Estate Markets. Journal of Housing Research 8

    Google Scholar 

  • Anselin L. and Bao S. 1996. SpaceStat.apr User’s Guide, Research Paper 9628. Regional Research Institute, West Virginia University. Morgantown. WV

    Google Scholar 

  • Anselin L. and Getis A. 1992. Spatial Statistical Analysis and Geographic Information Systems, The Annals of Regional Science 26: 19–33

    Article  Google Scholar 

  • Anselin L., Dodson R. and Hudak S. 1993. Linking GIS and Spatial Data Analysis in Practice, Geographical Systems 1: 3–23

    Google Scholar 

  • Bailey T. C. 1994. A Review of Statistical Spatial Analysis in Geographical Information Systems, in: S. Fotheringham and P. Rogerson (eds.). Spatial Analysis and GIS. London: Taylor and Francis, pp. 13–44

    Google Scholar 

  • Bailey T. C. and Gatrell A.C. 1995. Interactive Spatial Data Analysis. Harlow: Longman Scientific and Technical

    Google Scholar 

  • Bao S. and Henry M. 1996. Heterogeneity Issues in Local Measurements of Spatial Association, Geographical Systems 3: 1–13

    Google Scholar 

  • Bao S.. Henry M., Barkley D. and Brooks K. 1995. RAS: A Regional Analysis System Integrated with ARC/INFO, Computers, Environment and Urban Systems 18: 37–56

    Google Scholar 

  • Barkley D., Henry M., Bao S. and Brooks K. 1995. How Functional are Economic Areas? Tests for Intra-Regional Spatial Association using Spatial Data Analysis, Papers in Regional Science 74: 297–316

    Google Scholar 

  • Batty M. and XieY. 1994. Modelling Inside GIS: Part I. Model Structures, Exploratory Spatial Data Analysis and Aggregation, International Journal of Geographical Information Svstems 8: 291–307

    Article  Google Scholar 

  • Becker R. and Cleveland W.S. 1987. Brushing scatterplots, Technometrics 29: 127–142

    Article  Google Scholar 

  • Bradley R. and Haslett J. 1992. High Interaction Diagnostics for Geostatistical Models of Spatially Referenced Data, The Statistician 41: 371–380

    Article  Google Scholar 

  • BujaA.. Cook D. and Swayne D.F. 1996. Interactive High-Dimensional Data Visualization, Journal of Computational and Graphical Statistics 5: 78–99

    Google Scholar 

  • Buja A., McDonald J.A., Michalak J. and Stuetzle W. 1991. Interactive Data Visualization using Focusing and Linking, in: G.M. Nielson and L. Rosenblum, eds., Proceedings of Visualization ‘81, Los Alamitos, CA: IEEE Computer Society Press, pp. 155–162

    Google Scholar 

  • Can A. 1996., Weight Matrices and Spatial Autocorrelation Statistics Using a Topological Vector Data Model, International Journal of Geographical Information Systems 10: 1009–1017

    Google Scholar 

  • Cleveland W. S. 1993. Visualizing Data. Summit, NJ: Hobart Press

    Google Scholar 

  • Cleveland W.S. and McGill M.E. 1988. Dynamic Graphics for Statistics, Pacific Grove, CA: Wadsworth

    Google Scholar 

  • Cliff A.D. and Ord J.K. 1981. Spatial Processes: Models and Applications. London: Pion

    Google Scholar 

  • Cook D.. Majure J.. Symanzik J. and Cressie N. 1996. Dynamic Graphics in a GIS: Exploring and Analyzing Multivariate Spatial Data Using Linked Software, Computational Statistics 11: 467–480

    Google Scholar 

  • Cressie N. 1993. Statistics for Spatial Data, New York: Wiley

    Google Scholar 

  • Ding Y. and A. S. Fotheringham The Integration of Spatial Analysis and GIS. Computers, Environment and Urban Systems 16 3–19 1992.

    Article  Google Scholar 

  • ESRI Avenue, Customization and Application Development for Arc View, Redlands. CA: Environmental Systems Research Institute. 1994.

    Google Scholar 

  • ESRI Arct’iew 2.1 The Geographic Information System for Everyone Redlands CA: Environmental Systems Research Institute 1995a.

    Google Scholar 

  • ESRI Understanding GIS, The ARC/INFO Method. Redlands. CA: Environmental Systems Research Institute 1995b.

    Google Scholar 

  • ESRI ArcView Version 2 Shapefile Technical Description. White Paper. Redlands. CA: Environmental Systems Research Institute. 1995e.

    Google Scholar 

  • Farley J.A.. W.F. Limp. and J. Lockhart. The Archeologist’s Workbench: Integrating GIS. Remote Sensing. EDA and Database Management. in: K. Allen. F. Green and E. Zubrow(eds.). Interpreting Space: GIS and Archaeology, London: Taylor and Francis, pp. 141–164, 1990.

    Google Scholar 

  • Fischer M. M. and Nijkamp P. 1993. Geographic Information Systems, Spatial Modelling and Policy Evaluation, Berlin: Springer-Verlag

    Google Scholar 

  • Fischer M.M., Scholten H. and Unwin D. 1996. Spatial Analytical Perspectives on GIS in Environmental and Socio-Economic Sciences, London: Taylor and Francis, 1996

    Google Scholar 

  • Flowerdew R. and Green M. 1991. Data Integration: Statistical Methods for Transferring Data Between Zonai Systems, in: I. Masser and M. Blakemore (eds.), Handling Geographical Information, London: Longman, pp. 38–54

    Google Scholar 

  • Fotheringham A. S. and Charlton M. 1994. GIS and Exploratory Spatial Data Analysis: An Overview of some Research Issues, Geographical Systems 1: 315–327

    Google Scholar 

  • Fotheringham A. S. and Rogerson P. 1994. Spatial Analysis and GIS, London: Taylor and Francis

    Google Scholar 

  • Getis A. and Ord K. 1992. The Analysis of Spatial Association by Use of Distance Statistics, Geographical Analysis 24: 189–206

    Article  Google Scholar 

  • Good I.J. 1983. The Philosophy of Exploratory Data Analysis, Philosophy of Science 50: 283–295

    Article  Google Scholar 

  • Goodchild M. F. 1987. A Spatial Analytical Perspective on Geographical Information Systems, International Journal of Geographical Information Systems 1: 327–334

    Article  Google Scholar 

  • Goodchild M. F. 1992. Geographical Information Science, International Journal of Geographical Information Systems 6: 31–45

    Article  Google Scholar 

  • Goodchild M. F., Haining R.P., Wise S., et al. 1992. Integrating GIS and Spatial Analysis–Problems and Possibilities, International Journal of Geographical Information Systems 6: 407–423

    Article  Google Scholar 

  • Griffith D.A. 1993. Which Spatial Statistics Techniques Should Be Converted to GIS Functions? in: M.M. Fischer and P. Nijkamp (eds.), Geographic Information Systems, Spatial Modelling and Policy Evaluation. Berlin: Springer-Verlag, pp. 101–114

    Google Scholar 

  • Haining R. 1990. Spatial Data Analysis in the Social and Environmental Sciences, Cambridge: Cambridge University Press

    Book  Google Scholar 

  • Haining R. 1994. Designing Spatial Data Analysis Modules for Geographical Information Systems, in: S. Fotheringham and P. Rogerson (eds.). Spatial Analysis and GIS, London: Taylor and Francis, pp. 45–63

    Google Scholar 

  • Haslett J. 1992. Spatial Data Analyis — Challenges, The Statistician 41: 271–284

    Article  Google Scholar 

  • Haslett J. and Power G.M. 1995. Interactive Computer Graphics for a more Open Exploration of Stream Sediment Geochemical Data, Computers and Geosciences 21: 77–87

    Article  Google Scholar 

  • Haslett J.. Wills G. and Unwin A. 1990. SPIDER–An Interactive Statistical Tool for the Analysis of Spatially Distributed Data, International Journal of Geographical Information Systems 4: 285–296

    Google Scholar 

  • Haslett J.. Bradley R., Craig P., Unwin A. and Wills C. 1991. Dynamic Graphics for Exploring Spatial Data with Applications to Locating Global and Local Anomalies. The American Statistician 45: 234–242

    Google Scholar 

  • Lam N., Fan M. and Liu K-B. 1996. Spatial-Temporal Spread of the AIDS Epidemic, 1982–1990: A Correlogram Analysis of Four Regions of the United States, Geographical Analysis 28: 93–107

    Article  Google Scholar 

  • MacDougall E.B. 1991. A Prototype Interface for Exploratory Analysis of Geographic Data. Proceedings of the Eleventh Annual ESRI User Conference, vol. 2,. Redlands, CA: Environmental Systems Research Institute. Inc.. pp. 547–553

    Google Scholar 

  • Majure J. and Cressie N. 1997. Dynamic Graphics for Exploring Spatial Dependence in Multivariate Spatial Data, Geographical Systems (forthcoming)

    Google Scholar 

  • Majure J.. Cook D.. Cressie N.. Kaiser M.. Lahiri S. and Symanzik J. 1996. Spatial CDF Estimation and Visualization with Applications to Forest Health Monitoring. Computing Science and Statistics 27: 93–101

    Google Scholar 

  • Majure J.. Cressie N., Cook D. and Symanzik J. 1996. GIS, Spatial Statistical Graphics, and Forest Health, in: Proceedings, Third International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, NM, January 21–26, /996. Santa Barbara, CA, National Center for Geographic Information and Analysis (CD ROM )

    Google Scholar 

  • MathSoft. 1996a. S+Gislink, Seattle: MathSoft, Inc.

    Google Scholar 

  • MathSoft. 1996b. S+Spatialstats User’s Manual, Version 1.0, Seattle: MathSoft, Inc. Monmonier M. 1989. Geographic Brushing: Enhancing Exploratory Analysis of the Scatterplot Matrix, Geographical Analysis 21: 81–84

    Google Scholar 

  • Oden N.L. 1984., Assessing the Significance of a Spatial Correlogram, Geographical Analysis 16: 1–16

    Google Scholar 

  • O’Loughlin J. and Anselin L. 1996. Geo-Economic Competition and Bloc Formation: U.S., German and Japanese Trade Development, 1968–1992, Economic Geography 72: 131–160

    Article  Google Scholar 

  • Openshaw S. 1991. Developing Appropriate Spatial Analysis Methods for GIS, in: D. Maguire, M.F. Goodchild and D. Rhind (eds.), Geographical Information Systems: Principles and Applications. Vol 1, London: Longman, pp. 389–402

    Google Scholar 

  • Openshaw S. and Fischer M.M. 1995. A Framework for Research on Spatial Analysis Relevant to Geo-Statistical Information Systems in Europe, Geographical Systems 2: 325–337

    Google Scholar 

  • Ord J. K. and Getis A. 1995. Local Spatial Autocorrelation Statistics: Distributional Issues and Applications, Geographical Analysis 27: 286–306

    Article  Google Scholar 

  • Painho M. 1994. New Tools for Spatial Analysis, Luxembourg: Eurostat

    Google Scholar 

  • Stuetzle W. 1987. Plot windows, Journal of the American Statistical Association 82: 466–475

    Article  Google Scholar 

  • Symanzik J.. Majure J., Cook D. and Cressie N. 1994. Dynamic Graphics in a GIS: A Link between Arc/Info and XGobi, Computing Science and Statistics 26: 431–435

    Google Scholar 

  • Symanzik J., Majure J. and Cook D. 1996. Dynamic Graphics in a GIS; A Bidirectional Link between ArcView 2.0 and XGobi. Computing Science and Statistics 27: 299–303

    Google Scholar 

  • Talen E. 1997. Visualizing Fairness: Equity Maps for Planners, Journal of the American Planning Association (forthcoming)

    Google Scholar 

  • Talen E. and Anselin L. 1997. Assessing Spatial Equity: The Role of Access Measures, Environment and Planning A (forthcoming)

    Google Scholar 

  • Tukey J.W. 1977. Exploratory Data Analysis, Reading MA: Addison-Wesley

    Google Scholar 

  • Unwin A. 1994. REGARDing Geographic Data, in: P. Dirschedl and R. Osterman (eds.), Computational Statistics, Heidelberg: Physica Verlag, pp. 345–354

    Google Scholar 

  • Unwin A. 1996. Exploratory Spatial Analysis and Local Statistics, Computational Statistics 11: 387–400

    Google Scholar 

  • Upton G. J. and Fingleton B. 1985. Spatial Data Analysis by Example, New York: Wiley

    Google Scholar 

  • U.S. Department of Commerce. 1994. USA Counties 1994 CD-ROM, Washington, D.C.: Bureau of the Census

    Google Scholar 

  • Venables W. N and Ripley B.D. 1994. Modern Applied Statistics with S-Plus, New York: Springer-Verlag

    Google Scholar 

  • Williams l., Limp W.. Briuer F. 1990. Using Geographic Information Systems and Exploratory Data Analysis for Archeological Site Classification and Analysis, in: K. Allen, F. Green and E. Zubrow (eds.). Interpreting Space: GIS and Archaeology, London: Taylor and Francis, pp. 239–273

    Google Scholar 

  • Zhang A.. Yu H. and Huang S. 1994. Bringing Spatial Analysis Techniques Closer to GIS Users: A User-Friendly Integrated Environment for Statistical Analysis of Spatial Data, in: T. C. Waugh and R. G. Healy (eds.), Advances in GIS Research. London: Taylor and Francis. pp. 297–313

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Regional Research Institute and Department of Economics, West Virginia University, Morgantown, WV, 26506-6825, USA

    Luc Anselin

  2. Data Analysis Products Division, MathSoft, Inc., Seattle, WA, 98109, USA

    Shuming Bao

Authors
  1. Luc Anselin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shuming Bao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Economic and Social Geography, Vienna University of Economics and Business Administration, Augasse 2-6, A-1090, Vienna, Austria

    Manfred M. Fischer (Director) (Director)

  2. Institute for Urban and Regional Research, Austrian Academy of Sciences, Postgasse 7/4/2, A-1010, Vienna, Austria

    Manfred M. Fischer (Director) (Director)

  3. Stephen and Mary Birch Foundation, 92182-4493, San Diego, CA, USA

    Arthur Getis (Chair of Geographical Studies) (Chair of Geographical Studies)

  4. Department of Geography, San Diego State University, 92182-4493, San Diego, CA, USA

    Arthur Getis (Chair of Geographical Studies) (Chair of Geographical Studies)

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Anselin, L., Bao, S. (1997). Exploratory Spatial Data Analysis Linking SpaceStat and ArcView. In: Fischer, M.M., Getis, A. (eds) Recent Developments in Spatial Analysis. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03499-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-03499-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08321-1

  • Online ISBN: 978-3-662-03499-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation