Empirical Modeling in Urban Studies - Vilalta, Carlos J.
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The core of this book is an application of spatial statistics techniques for the modeling of urban political change in Mexico. The author's goal is to help the reader learn by example how to apply spatial autocorrelation and spatial regression techniques. Inside, the reader will learn about key concepts in spatial analysis such as regional clusters, local contextual effects, and spatial diffusion processes. The reader will also find useful information about political parties, electoral reforms, and the urban electorate in Mexico. Intended principally for urban studies students, this book is…mehr

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Produktbeschreibung
The core of this book is an application of spatial
statistics techniques for the modeling of urban
political change in Mexico. The author's goal is to
help the reader learn by example how to apply
spatial autocorrelation and spatial regression
techniques. Inside, the reader will learn about key
concepts in spatial analysis such as regional
clusters, local contextual effects, and spatial
diffusion processes. The reader will also find
useful information about political parties,
electoral reforms, and the urban electorate in
Mexico. Intended principally for urban studies
students, this book is also informative to students
in geography, sociology, political science, and
those interested in quantitative research methods.
Autorenporträt
Ph.D. in Urban Studies, Portland State University. Associate
Professor at the Center for Economic Research and Teaching
(CIDE), Mexico. He has been a visiting scholar at UNC-Chapel
Hill, the University of Houston, and McGill University. He
carries out research in the geography of crime, fear of crime,
and urban violence.