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Spatial Statistics

Spatial Statistics

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Spatial Statistics

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  1. Spatial Statistics Wei Ding, Spring 2007

  2. Some Thoughts • It is hard to find a general spatial statistics paper. In the following slides, I recommend a workshop, a professor, two websites, and one book, which are related with spatial statistics.

  3. A Good WorkshopShort Course: Introduction to Spatial Data Analysis at UIUC, Luc Anselin • The course is organized into six broad topics ( • Concepts: what makes spatial data analysis different, some basic GIS concepts, understanding of the paradigms in spatial data analysis • Geovisualization: the visualization and exploration of spatial data, dynamically linked windows, outlier analysis, smoothing of maps for rates. • Point pattern analysis: assessing whether a pattern of locations (points) is clustered, spatial point processes, nearest neighbor statistics, second order statistics, bivariate and space-time point patterns. • Spatial autocorrelation analysis: descriptive statistics for spatial autocorrelation, constructing spatial weights, visualizing spatial autocorrelation, local indicators of spatial association, multivariate spatial correlation • Geostatistics: the geostatistical perspective, variograms, kriging • Spatial regression: specifying spatial econometric models, spatial externalities, estimation methods, specification tests Wei: please read the course outline, it includes many good paper references

  4. An Interesting Professor • • Research Projects • Geovisualization and Spatial Analysis of Cancer Data (NCI) • The sensitivity of concentration-response functions to the explicit modeling of space-time dependence (NSF/EPA) • Center for Spatially Integrated Social Science (NSF) • A web-based spatial analytic toolkit for the study of homicide data (NCOVR)

  5. A Good Website • the Center for Spatially Integrated Social Science (CSISS) main site, especially its learning materials, syllabi and search engines, • Summer Workshops 2002 Video Clips - Spatial Pattern Analysis in a GIS Environment • The Nature of Spatial Pattern Analysis, Art Getis • Problems Associated with Spatial Pattern Analysis, Art Getis • An Introduction to GIS, Mike Goodchild • GIS Functionality, Mike Goodchild • Current Technologies in GIS, Mike Goodchild • Spatial Patterns of Birth Data, John R. Weeks • Spatial Patterns of Fertility in Egypt, John R. Weeks Wei:I checked several clips, the quality is good.

  6. Another Good WebsiteSpatial Statistics Software • The company website collects useful information on • Spatial autoregressions (SAR) • Conditional spatial autoregressions (CAR) • Mixed regressive spatially autoregressive (MRSA) • Exact log-determinant computations • Nearest neighbors • Contiguity/contiguous observations • Spatial temporal routines • Multivariate dependence • Matrix exponential spatial specifications • Doubly stochastic weight matrices • Spatial autoregressive local estimation • Log-determinant approximations

  7. A Good Book • It is a popular textbook used by undergraduate or first year graduate students. • Review"It has been difficult to find a good introductory statistics text that can be used with a class consisting of both physical and social science students. This textbook meets that demand by incorporating a good number of examples from both aspects of the discipline and including thorough discussions of introductory spatial statistics....Should prove useful as both a classroom textbook and a basic statistical reference." -David R. Legates,University of Oklahoma"Burt and Barber have extended and modernized a text that has long served geography students as a methodological foundation....This text will find its place in upper-level undergraduate courses and first-year graduate study for those with limited statistics backgrounds." -Randall W. Jackson,Ohio State University"The text is very well organized and contains a wealth of excellent examples and diagrams. Chapters on time-series and computer-intensive methods are particularly valuable."-Scott Robeson, Indiana University