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9780367642990 - Uncertainty and Context in Giscience and Geography: Challenges in the Era of Geospatial Big Data (13 results)
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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£ 161.79
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
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Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data
Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367642999 ISBN 13: 9780367642990
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 156.51
Convert currency£ 8.79 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 204.
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Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 167.27
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Add to basketCondition: New. In.
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Uncertainty and Context in Giscience and Geography : Challenges in the Era of Geospatial Big Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 165.95
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Condition: As New. Unread book in perfect condition.
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Uncertainty and Context in Giscience and Geography : Challenges in the Era of Geospatial Big Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 191.41
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£ 217.19
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Add to basketHardcover. Condition: Brand New. 169 pages. 9.50x6.75x0.50 inches. In Stock.
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Add to basketCondition: New. PRINT ON DEMAND.
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£ 146.35
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Yongwan Chun is Associate Professor of Geospatial Information Sciences (GIS) at the University of Texas at Dallas, USA. His research interests lie in GIS and spatial statistical approaches to solving geographical problems, including geographic flo.
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Uncertainty and Context in GIScience and Geography : Challenges in the Era of Geospatial Big Data
Published by Taylor & Francis Ltd (Sales), 2021
ISBN 10: 0367642999 ISBN 13: 9780367642990
Language: English
£ 191.30
Convert currency£ 54.56 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition, emerging sources of geospatial big data - including smartphone data, data collected by GPS, and various types of wearable sensors (e.g., accelerometers and air pollutant monitors), volunteered geographic information, and/ or location- based social media data (i.e., crowd- sourced geographic information) - inevitably contain errors, and their quality cannot be fully controlled during their collection or production.
