Description

This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.

Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency.

The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares approach.

This book is a popularized reference for students looking to work with spatialized data, but who do not have the advanced statistical theoretical basics.

Spatial Econometrics using Microdata

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Hardback by Jean Dubé , Diègo Legros

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This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on spatial... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 31/10/2014
    ISBN13: 9781848214682, 978-1848214682
    ISBN10: 1848214685

    Number of Pages: 250

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.

    Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency.

    The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares approach.

    This book is a popularized reference for students looking to work with spatialized data, but who do not have the advanced statistical theoretical basics.

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