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Quantifying Spatial Uncertainty in Natural Resources

Theory and Applications for GIS and Remote Sensing

H. Todd Mowrer Russell G. Congalton (University of New Hampshire University of New Hampshire, Durham, USA)

$336

Hardback

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English
Taylor & Francis Ltd
01 March 2000
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.

Edited by:   , , ,
Imprint:   Taylor & Francis Ltd
Country of Publication:   United Kingdom
Dimensions:   Height: 280mm,  Width: 210mm,  Spine: 22mm
Weight:   752g
ISBN:   9781575041315
ISBN 10:   1575041316
Pages:   278
Publication Date:  
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Undergraduate ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Active
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.

H. Todd Mowrer, Russell G. Congalton

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