Map Projection Transformation: Principles and Applications, 1st Edition (Paperback) book cover

Map Projection Transformation

Principles and Applications, 1st Edition

By Qihe Yang, John Snyder, Waldo Tobler

CRC Press

384 pages

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Paperback: 9780748406685
pub: 1999-12-16
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Description

With the advance of science and technology, there have been breakthroughs in the field of classical research and methods of map projection. Among these, computer science and space science have had the greater influence upon the field of research and the formation of a working body of map projection, developing them in breadth and depth.

This book reflects several aspects of the development of modern mathematical cartography, especially the theory and methods of map projection transformation. Map projection transformation is an area of research in mathematical cartography newly developed over the last 25 years. It is widely used in surveying and computer-assisted cartography, data processing for information systems, and the transformation of data from space, remote sensing, and other space sciences. The development of map projection transformation not only expands new areas of research on mathematical cartography, but it also further develops the applied area with the creation and application of map projection transformation software and mapping mathematics bases on the computer.

Table of Contents

Part One: Introduction 1. History of Map Projections in China 2. Map Projection Equations. Part Two: Principles of Map Projection Transformation 3. General Theory 4. Analytical Transformation 5. Numerical Transformations 6. Third Type of Transformations 7. Zone Transformation on Transverse Mercator Projection. Part Three: Miscellaneous Applications of Map Projection Transformation 8. Mathematical Elements of Topographic Maps 9. Position Lines 10. Variable-scale Maps 11. Space Projections 12. New Map Projections 13. Computer-assisted Transformation and Construction

Subject Categories

BISAC Subject Codes/Headings:
TEC036000
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems