Introduction to mathematical techniques used in GIS

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Title:

Author:

Dale, Peter.

ISBN:

9780415334143

Personal Author:

Dale, Peter.

Publication Information:

Boca Raton, FL : CRC Press, 2004.

Physical Description:

xv, 202 p. : ill. ; 25 cm.

Contents:

Ch. 1. Characteristics of geographic information -- Ch. 2. Numbers and numerical analysis -- Ch. 3. Algebra - treating numbers as symbols -- Ch. 4. The geometry of common shapes -- Ch. 5. Plane and spherical trigonometry -- Ch. 6. Differential and integral calculus -- Ch. 7. Matrices, determinants, and vectors -- Ch. 8. Curves and surfaces -- Ch. 9. Transformations -- Ch. 10. Basic statistics -- Ch. 11. Best-fit solutions.

Abstract:

"Introduction to Mathematical Techniques Used in GIS explains to nonmathematicians the fundamentals that support the manipulation and display of geographic information. It focuses on basic mathematical techniques, building upon a series of steps that enable a deeper understanding of the complex forms of manipulation that arise in the handling of spatially related data."--BOOK JACKET.

Subject Term:

Geography -- Mathematics.

Geographic information systems.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... IIEMSA	General Books	33168020367864	910/.0151 D139.I 2004	1	Searching... Unknown

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Summary

To understand the output from a geographic information system, one must understand the quality of the data that is entered into the system, the algorithms driving the data processing, and the limitations of the graphic displays.

Introduction to Mathematical Techniques Used in GIS explains to nonmathematicians the fundamentals that support the manipulation and display of geographic information. It focuses on basic mathematical techniques, building upon a series of steps that enable a deeper understanding of the complex forms of manipulation that arise in the handling of spatially related data.

The book moves rapidly through a wide range of data transformations, outlining the techniques involved. Many are precise, building logically on underlying assumptions. Others are based upon statistical analysis and the pursuit of the optimum rather than the perfect and definite solution.

By understanding the mathematics behind the gathering, processing, and display of information, GIS professionals can advise others on the integrity of results, the quality of the information, and the safety of using it.