Identification of GIS Attribute Error Using Exploratory Data Analysis∗ : The Professional Geographer: Vol 46, No 3

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Exploratory data analysis (EDA), a data-centered, inductive approach to statistical analysis, provides effective tools for assessing the quality and integrity of GIS attribute data. This research presents selected examples demonstrating EDA distribution analyses, correlational statistics, and proximity analysis. An integrated modular software prototype to operationalize these techniques combines the mapping and display capabilities of ArcView with the statistical functionality of STATA in a MS-Windows multi-tasking, multiple-windowed environment.

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∗The author would like to thank Bill Lloyd, Robert Cromley, Michael Goodchild, Luc Anselin, George Hepner, and Barbara Weightman for guidance and encouragement.

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Identification of GIS Attribute Error Using Exploratory Data AnalysisFootnote∗
∗The author would like to thank Bill Lloyd, Robert Cromley, Michael Goodchild, Luc Anselin, George Hepner, and Barbara Weightman for guidance and encouragement.

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Identification of GIS Attribute Error Using Exploratory Data AnalysisFootnote∗∗The author would like to thank Bill Lloyd, Robert Cromley, Michael Goodchild, Luc Anselin, George Hepner, and Barbara Weightman for guidance and encouragement.

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Identification of GIS Attribute Error Using Exploratory Data AnalysisFootnote∗
∗The author would like to thank Bill Lloyd, Robert Cromley, Michael Goodchild, Luc Anselin, George Hepner, and Barbara Weightman for guidance and encouragement.