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 Workshop Short Course: Introduction to Spatial Data Analysis at UIUC, Luc Anselin The course is organized into six broad topics ( http://www.csiss.org/events/workshops/2002/data2002/outline.pdf ): http://www.csiss.org/events/workshops/2002/data2002/outline.pdf 1. Concepts: what makes spatial data analysis different, some basic GIS concepts, understanding of the paradigms in spatial data analysis 2. Geovisualization: the visualization and exploration of spatial data, dynamically linked windows, outlier analysis, smoothing of maps for rates. 3. 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. 4. Spatial autocorrelation analysis: descriptive statistics for spatial autocorrelation, constructing spatial weights, visualizing spatial autocorrelation, local indicators of spatial association, multivariate spatial correlation 5. Geostatistics: the geostatistical perspective, variograms, kriging 6. 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 http://sal.uiuc.edu/users/anselin/ 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, http://www.csiss.org/ http://www.csiss.org/ Summer Workshops 2002 Video Clips - Spatial Pattern Analysis in a GIS Environment http://www.csiss.org/streaming_video/2002/spa.html http://www.csiss.org/streaming_video/2002/spa.html 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 Website Spatial Statistics Software http://www.spatial-statistics.com/ 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 http://www.amazon.com/Elementary-Statistics-Geographers-James- Burt/dp/0898629993