Numerical generalization in cartography
Read Online

Numerical generalization in cartography

  • 604 Want to read
  • ·
  • 30 Currently reading

Published by University of Toronto Press in Toronto .
Written in English


  • Cartography -- Mathematical models

Book details:

Edition Notes

Includes bibliographical references.

Statementedited by Robert B. McMaster.
SeriesCartographica -- monograph 40, Cartographica -- v. 26, no. 1, Cartographica (1980) -- v. 26, no. 1
ContributionsMcMaster, Robert Brainerd.
The Physical Object
Pagination121 p. :
Number of Pages121
ID Numbers
Open LibraryOL17048010M
ISBN 100919870406

Download Numerical generalization in cartography


Generalization in Digital Cartography by Robert McMaster (Author) ISBN ISBN X. Why is ISBN important? ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The digit and digit formats both work. This chapter reviews steps from cartographic generalization to the era of model generalization, and these steps are reviewed in relation to progress in computer science. Collectively these developments point to a need for future development of models and methods for generalization and multiple representations that support a greater variety of. ISBN: X OCLC Number: Description: xi, pages: illustrations, maps ; 22 cm. Series Title: Resource publications in geography. Download Citation | The Geometric Properties of Numerical Generalization | Over the past twenty years, cartographers have become increasingly concerned with the nature and quality of cartographic.

Generalization processes in numerical cartography: analysis of landscape patterns using tools of characterization Cartographic generalization is the traditional process of drawing a new map from a reference map. Although as is recalled or testified by Mark Monmonnier’s provocative book title. Geovisualization is an emerging domain that draws upon disciplines such as computer science, human-computer interaction design, cognitive sciences, graphical statistics, data visualization, information visualization, geographic information science and cartography to discuss, develop and evaluate interactive cartography.   The book was written by Michael de Smith and Paul Longley of University College London, and Michael Goodchild from UC Santa Barbara. PDF versions of the book are available for purchase from the site. Esri offers free eBooks as part of its “Best Practices” series. The booklets over examples of the use of GIS in different industries and. Cartographic generalization, or map generalization, includes all changes in a map that are made when one derives a smaller-scale map from a larger-scale map or map data, or vice versa. It is a core part of cartographic design.

Cartographic generalization is performed in order to achieve the necessary map readability when converting from a larger to a smaller scale. Maps cannot represent everything existing in reality – maps are by their nature selective. Also, objects and phenomena cannot be represented on maps identical to their appearance in reality. cartographic generalization. transformational process of abstraction involving selection, classification, simplification, and symbolization. numerical values used as attributes that measured positional sequences. ratio. the measurement uses an obsolute datum for numerical comparisons. Cartography as a discipline evolved from the ancient practice of map-making, and its with an emphasis on numerical analysis. While the distinction between the two fields is not as strong as in the past, these as methods of cartographic generalization and alternative techniques for assigning class. Map Abstraction. It has become possible to map the world on the head of a pin, or even a smaller space, as shown here: Art of Science: World on the Head of a Pin, but, most details get left to achieve a screen-sized map of the world on your computer, map abstraction is fundamental to representing entities in a legible manner. The process of map abstraction includes at least five.