Mathematical foundation of GIS

By:

Kainz, Wolfgang [author.]

Contributor(s):

Wu, Huayi [co-author.]

Material type:

TextLanguage: English Series: Topics in advanced geoinformatics ; Volume 2Publication details: Singapore: World Scientific, 2024.Description: xviii, 210p. : ill. ; 25 cmISBN:

9789811292873

Subject(s):

Other classification:

U:(9S) R4

Summary: "Geographic Information Systems (GIS) originated in the 1960s and have since become the primary tool and science for handling spatial data. This unique compendium introduces essential mathematical knowledge related to GIS, including mathematical logic, geometry, algebra, topology, set theory, graph theory, probability theory and statistics, as well as uncertainty theory. These topics cover GIS data modeling, geometric calculations, topological analysis, spatial inference, and are helpful in understanding how to express spatial feature models, derive logical conclusions from given facts, perform coordinate transformations, and even aspects such as remote sensing image classification and machine learning"-- Provided by publisher.

Item type:

Textual

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Textual	Central Science Library	Central Science Library			U:(9S) R4 (Browse shelf(Opens below))					Available			SL1656064

Includes bibliographical references and index.

"Geographic Information Systems (GIS) originated in the 1960s and have since become the primary tool and science for handling spatial data. This unique compendium introduces essential mathematical knowledge related to GIS, including mathematical logic, geometry, algebra, topology, set theory, graph theory, probability theory and statistics, as well as uncertainty theory. These topics cover GIS data modeling, geometric calculations, topological analysis, spatial inference, and are helpful in understanding how to express spatial feature models, derive logical conclusions from given facts, perform coordinate transformations, and even aspects such as remote sensing image classification and machine learning"-- Provided by publisher.

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