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Management of the Effects of Coastal Storms

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Computational Color Science

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Cartography and the Impact of the Quantitative Revolution

Volume 2 Thematic Cartography Series in 3 Volumes

Colette Cauvin, Louis Pasteur University of Strasbourg, France. Francisco Escobar, University of Alcala, Spain. Aziz Serradj, Louis Pasteur University of Strasbourg, France.

ISBN: 9781848211117

Publication Date: April 2010   Hardback   432 pp.

230.00 USD


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Description

A thematic map is a map that illustrates more than simply geographical relationships or locations, but rather also portrays themes, patterns, or data relating to physical, social, medical, economic, political or any other aspect of a region or location. Examples include maps that show variations of population density, climate data, wealth, voting intentions, or life expectancy with geographical location. These tools have become central to the work of scientists, practitioners, and students in nearly every field, from epidemiology to political science, and are familiar to members of the public as a common means of expressing complicated and multivariate information in easily understood graphical formats.
This set of three volumes on Thematic Cartography considers maps as information constructs resulting from a number of successive information transformations and the products of decision stages, integrated into a logical reasoning and the order of those choices. It thereby provides a thorough understanding of the theoretical basis for thematic mapping, as well as the means of applying the various techniques and methodologies in order to create a desired analytical presentation.
This second volume focuses on the impact of the quantitative revolution on thematic cartography, partly related to the advent of the computer age. It deals with transformations related to the [Z] data and the technically renewed methods (anamorphoses, 3D representations).

Contents

Part 1. Transformations of Attributes [Z] and Use of Quantitative Methods: Generalization and Modeling
1. From the Description to the Generalization of an Attribute Variable Z.
2. Generalization of Thematic Attributes.
3. Modeling Thematic Attributes: Generalizable Cartographic Choices.
Part 2. New Cartographic Transformations and 3D Representations
4. Cartographic Transformations of Position.
5. Taking a Third Dimension into Account, Transformation of Display.

About the Authors

Colette Cauvin was formerly Professor of Geography at Louis Pasteur University of Strasbourg, France.
Francisco Escobar is Professor of Geography at the University of Alcala, Spain.
Aziz Serradj is Lecturer of Geography at the Louis Pasteur University of Strasbourg, France.

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