Description

Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathematical statistics. Focusing on the methods that are commonly used by social scientists, Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it by connecting it to social science research topics. Throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us.

Spatial Regression Models for the Social Sciences

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Hardback by Guangqing Chi , Jun Zhu

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Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need... Read more

    Publisher: SAGE Publications Inc
    Publication Date: 01/07/2019
    ISBN13: 9781544302072, 978-1544302072
    ISBN10: 154430207X

    Number of Pages: 272

    Non Fiction , Politics, Philosophy & Society

    Description

    Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathematical statistics. Focusing on the methods that are commonly used by social scientists, Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it by connecting it to social science research topics. Throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us.

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