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Hardcover. Condition: Very Good. Ann Arbor Press, 2000. First/First. Edited by H Todd Mowrer & Russel G Congalton. AS NEW hardcover. No DJ as issued. Glossy boards. Bright white/unmarked pages. Unread, binding tight. 1575041316. Packaged using bubble wrap and a sturdy cardboard box. Tracking number provided for no extra cost. Thank you for supporting our small, family owned book store.
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Condition: As New. Unread book in perfect condition.
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Quantifying Spatial Uncertainty in Natural Resources : Theory and Applications for Gis and Remote Sensing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Quantifying Spatial Uncertainty in Natural Resources : Theory and Applications for Gis and Remote Sensing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Quantifying Spatial Uncertainty in Natural Resources: Theory and Applications for GIS and Remote Sensing
Language: English
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367579014 ISBN 13: 9780367579012
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Quantifying Spatial Uncertainty in Natural Resources
Language: English
Published by Taylor and Francis Ltd, GB, 2020
ISBN 10: 0367579014 ISBN 13: 9780367579012
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Spatial uncertainty analysis has become a recognized discipline that integrates expertise from geographic information science, remote sensing, spatial and classical statistics and many others. This book will be useful to those new to spatial uncertainty assessment and to experienced practitioners. Those interested in the application of appropriate uncertainty assessment techniques are provided with examples of many applications based in remote sensing and geographic information systems (GIS). For researchers, this book presents a snapshot of the state-of-the-art of uncertainty assessment, providing theoretical chapters based in classical and spatial statistics.
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Condition: New. Satisfaction Guaranteed or your money back.
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Quantifying Spatial Uncertainty in Natural Resources: Theory and Applications for GIS and Remote Sensing
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 64.62
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Paperback. Condition: Brand New. 278 pages. 10.98x8.50x0.67 inches. In Stock.
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Quantifying Spatial Uncertainty in Natural Resources
Language: English
Published by Taylor and Francis Ltd, GB, 2020
ISBN 10: 0367579014 ISBN 13: 9780367579012
Paperback. Condition: New. Spatial uncertainty analysis has become a recognized discipline that integrates expertise from geographic information science, remote sensing, spatial and classical statistics and many others. This book will be useful to those new to spatial uncertainty assessment and to experienced practitioners. Those interested in the application of appropriate uncertainty assessment techniques are provided with examples of many applications based in remote sensing and geographic information systems (GIS). For researchers, this book presents a snapshot of the state-of-the-art of uncertainty assessment, providing theoretical chapters based in classical and spatial statistics.
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Condition: As New. Unread book in perfect condition.
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Quantifying Spatial Uncertainty in Natural Resources : Theory and Applications for Gis and Remote Sensing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Quantifying Spatial Uncertainty in Natural Resources : Theory and Applications for Gis and Remote Sensing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. 350, Map (Some Col.) 1st Edition.
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Condition: New. pp. 350.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Quantifying Spatial Uncertainty in Natural Resources
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 65.49
£ 5.02 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. H. Todd Mowrer, Russell G. CongaltonSpatial uncertainty analysis has become a recognized discipline that integrates expertise from geographic information science, remote sensing, spatial and classical statistics and many others. This book wil.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Spatial uncertainty analysis has become a recognized discipline that integrates expertise from geographic information science, remote sensing, spatial and classical statistics and many others. This book will be useful to those new to spatial uncertainty assessment and to experienced practitioners. Those interested in the application of appropriate uncertainty assessment techniques are provided with examples of many applications based in remote sensing and geographic information systems (GIS). For researchers, this book presents a snapshot of the state-of-the-art of uncertainty assessment, providing theoretical chapters based in classical and spatial statistics.
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Condition: New. pp. 350 Illus., Map (Some Col.) This item is printed on demand.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. H. Todd Mowrer, Russell G. CongaltonSpatial uncertainty analysis has become a recognized discipline that integrates expertise from geographic information science, remote sensing, spatial and classical statistics and many others. This book wil.
