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Principles Of Modeling Uncertainties In Spatial Data And Spatial Analyses
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ISBN: 9781420059274

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When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling. When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses outlines the foundational principles and supplies a firm grasp of the disciplines' theoretical underpinnings. Comprehensive, Systematic Review of Methods for Handling Uncertainties The book summarizes the principles of modeling uncertainty of spatial data and spatial analysis, and then introduces the developed methods for handling uncertainties in spatial data and modeling uncertainties in spatial models. Building on this foundation, the book goes on to explore modeling uncertainties in spatial analyses and describe methods for presentation of data as quality information. Progressing from basic to advanced topics, the organization of the contents reflects the four major theoretical breakthroughs in uncertainty modeling: advances in spatial object representation, uncertainty modeling for static spatial data to dynamic spatial analyses, uncertainty modeling for spatial data to spatial models, and error description of spatial data to spatial data quality control. Determine Fitness-of-Use for Your Applications Modeling uncertainties is essential for the development of geographic information science. Uncertainties always exist in GIS and are then propagated in the results of any spatial analysis. The book delineates how GIS can be a better tool for decision-making and demonstrates how the methods covered can be used to control the data quality of GIS products. Books, Science and Geography~~Geography~~Geographical Information Systems (GIS) & Remote Sensing, Principles Of Modeling Uncertainties In Spatial Data And Spatial Analyses~~Book~~9781420059274~~Wenzhong Shi, , , , , , , , , ,, [PU: CRC Press]

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses - Shi, Wenzhong
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Internationaler Buchtitel. In englischer Sprache. Verlag: CRC PR INC, 412 Seiten, L=236mm, B=152mm, H=28mm, Gew.=771gr, [GR: 16850 - HC/Elektronik/Elektrotechnik/Nachrichtentechnik], [SW: - Technology & Industrial Arts], Gebunden, Klappentext: <P>Modeling uncertainties in geographic information science is essential to the development of the field. This book addresses one of the fundamental theoretical issues: uncertainties in spatial data and analysis. Along with the latest research findings, the text provides methods to control uncertainties in GIS applications. The author contributes his own unique research in modeling positional uncertainty based on probability theory and statistics. New areas, such as uncertainty-based spatial mining, are introduced providing a new prospective on the theory and applications of GIS. Researchers, students, and professionals working in GIS can benefit from the insightful presentation of new ideas.</P> <P>Modeling uncertainties in geographic information science is essential to the development of the field. This book addresses one of the fundamental theoretical issues: uncertainties in spatial data and analysis. Along with the latest research findings, the text provides methods to control uncertainties in GIS applications. The author contributes his own unique research in modeling positional uncertainty based on probability theory and statistics. New areas, such as uncertainty-based spatial mining, are introduced providing a new prospective on the theory and applications of GIS. Researchers, students, and professionals working in GIS can benefit from the insightful presentation of new ideas.</P>

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PRINCIPLES OF MODELING UNCERTAINTIES IN SPATIAL DATA AND SPATIAL ANALYSES - SHI WENZHONG
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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses - Wenzhong Shi
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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses - gebunden oder broschiert

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
Autor:

Shi, Wenzhong

Titel:

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

ISBN-Nummer:

1420059270

&lt;P&gt;Modeling uncertainties in geographic information science is essential to the development of the field. This book addresses one of the fundamental theoretical issues: uncertainties in spatial data and analysis. Along with the latest research findings, the text provides methods to control uncertainties in GIS applications. The author contributes his own unique research in modeling positional uncertainty based on probability theory and statistics. New areas, such as uncertainty-based spatial mining, are introduced providing a new prospective on the theory and applications of GIS. Researchers, students, and professionals working in GIS can benefit from the insightful presentation of new ideas.&lt;/P&gt;

Detailangaben zum Buch - Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses


EAN (ISBN-13): 9781420059274
ISBN (ISBN-10): 1420059270
Gebundene Ausgabe
Erscheinungsjahr: 2009
Herausgeber: CRC PR INC
412 Seiten
Gewicht: 0,771 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 03.01.2008 16:41:38
Buch zuletzt gefunden am 15.12.2015 19:02:26
ISBN/EAN: 1420059270

ISBN - alternative Schreibweisen:
1-4200-5927-0, 978-1-4200-5927-4

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