Rate Transformations and Smoothing

Rate Transformations and Smoothing - Rate Transformations...

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Unformatted text preview: Rate Transformations and Smoothing Luc Anselin Nancy Lozano Julia Koschinsky Spatial Analysis Laboratory Department of Geography University of Illinois, Urbana-Champaign Urbana, IL 61801 http://sal.uiuc.edu/ Revised Version, January 31, 2006 Copyright c 2006 Luc Anselin, All Rights Reserved Acknowledgments Core support for the development of these materials was provided through a Cooperative Agreement between the Association of Teachers of Preven- tive Medicine (ATPM) and the Centers for Disease Control and Preven- tion, award U50/CCU300860 # TS-1125. Additional support was provided through grant RO1 CA 95949-01 from the National Cancer Institute, the U.S. National Science Foundation grant BCS-9978058 to the Center for Spatially Integrated Social Science (CSISS), and by the Office of Research, College of Agricultural, Consumer and Environmental Sciences, University of Illinois, Urbana-Champaign. The contents of this report are the sole responsibility of the authors and do not necessarily reflect the official views of the CDC, ATPM, NSF or NCI. i 1 Introduction and Background This report is part of a series of activities to review and assess methods for exploratory spatial data analysis and spatial statistics as they pertain to the study of the geography of disease in general, and prostate cancer in partic- ular. It focuses on the intrinsic instability of rates or proportions and how this affects the identification of spatial trends and outliers in an exploratory exercise in the context of disease mapping. It provides an overview of some technical (statistical) aspects of a range of approaches that have been sug- gested in the literature to deal with this issue. The review does not attempt to be comprehensive, but focuses on commonly used techniques (in the re- search literature) as well as on methods that can be readily implemented as software tools. The objective is to provide a description that can form the basis for the development of such tools. References to the literature are provided for a detailed coverage of the technical details. Note that this is an evolving document, and it is updated as new tech- niques are reviewed and implemented in the software. The report is supplemented by an extensive and searchable annotated bibliography of over fifty articles, available from the SAL web site. 1 It is also supplemented by software tools available from the SAL site (or through links on the SAL site). Some of the software is developed in the Java language and is included in the GeoVISTA Studio package, distributed by the Pennsylvania State University. 2 The bulk of the software development, however, is carried out in the Python language and included in the PySAL library of spatial 1 http://sal.uiuc.edu/stuff/stuff-sum/abstracts-on-spatial-analysis-health 2 This is available from Sourceforge at http://sourceforge.net/projects/geovistastudio. analytical tools (available from the SAL site), and disseminated through the STARS software package for space-time exploration.STARS software package for space-time exploration....
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This note was uploaded on 02/15/2012 for the course GEO 6938 taught by Professor Staff during the Summer '08 term at University of Florida.

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Rate Transformations and Smoothing - Rate Transformations...

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