Uncertainty Modelling and Quality Control for Spatial Data

Uncertainty Modelling and Quality Control for Spatial Data
Author: Shi Wenzhong
Publisher: CRC Press
Total Pages: 312
Release: 2015-11-04
Genre: Mathematics
ISBN: 1498733344


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Offers New Insight on Uncertainty ModellingFocused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information science (GIS) applications. By using original research, current advancement, and


Uncertainty Modelling and Quality Control for Spatial Data
Language: en
Pages: 312
Authors: Shi Wenzhong
Categories: Mathematics
Type: BOOK - Published: 2015-11-04 - Publisher: CRC Press

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Offers New Insight on Uncertainty ModellingFocused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data
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Pages: 456
Authors: Wenzhong Shi
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Type: BOOK - Published: 2009-09-30 - Publisher: CRC Press

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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 th
The Geographical Sciences During 1986—2015
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Categories: Science
Type: BOOK - Published: 2016-07-28 - Publisher: Springer

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In four chapters and an introduction, this book systematically helps readers understand the development of the Geographical Sciences both in China and in the wo
Advances in Cartography and Geographic Information Engineering
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Categories: Science
Type: BOOK - Published: 2021-07-30 - Publisher: Springer Nature

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This book reviews and summarizes the development and achievement in cartography and geographic information engineering in China over the past 60 years after the
Uncertainty and Context in GIScience and Geography
Language: en
Pages: 180
Authors: Yongwan Chun
Categories: Science
Type: BOOK - Published: 2021-05-13 - Publisher: Routledge

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Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling