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Cover image for Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing
Title:
Quantifying spatial uncertainty in natural resources : theory and applications for GIS and remote sensing
Publication Information:
Chelsea, Mich. : Ann Arbor Press, 2000
ISBN:
9781575041315

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30000010018737 G70.212 Q83 2000 Open Access Book Book
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30000010203206 G70.212 Q83 2000 Open Access Book Book
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Summary

Summary

This book will be useful both to those new to spatial uncertainty assessment and to experienced practitioners.


Table of Contents

H. Todd Mowrer and Russell G. CongaltonMichael F. GoodchildAdam Lewis and Michael F. HutchinsonGretchen G. Moisen and D. Richard Culter and Thomas C. EdwardsMichael Kohl and Hans Jorg Schnellbacher and Andreas GrunigGeoffrey M. Jacquez and Lance A. WallerFrancisco Javier GallegoRaymond L. CzaplewskiMichael J.C. WeirGerard B.M. Heuvelink and Johan A. HuismanRachel Riemann HersheyMargaret R. Holdaway and Gary J. BrandKim LowellChristine A. HlavkaHubert Hasenauer and Robert A. Monserud and Timothy G. GregoireAndrew S. RogowskiPaul Braun and Heiko Balzter and Wolfgang KohlerChristopher K. Wikle and Noel Cressie
Introduction: The Past, Present, and Future of Uncertainty Analysisp. xv
Section I. Accuracy Assessment Issues
Chapter 1 Communicating the Results of Accuracy Assessment: Metadata, Digital Libraries, and Assessing Fitness for Usep. 3
Chapter 2 From Data Accuracy to Data Quality: Using Spatial Statistics to Predict the Implications of Spatial Error in Point Datap. 17
Chapter 3 Generalized Linear Mixed Models for Analyzing Error in a Satellite-Based Vegetation Map of Utahp. 37
Chapter 4 Increasing Spatial Precision and Accuracy for Monitoring Peatlands in Switzerland by Remote Sensing Techniquesp. 45
Chapter 5 The Effect of Uncertain Locations on Disease Cluster Statisticsp. 53
Chapter 6 Double Sampling for Area Estimation and Map Accuracy Assessmentp. 65
Chapter 7 Accuracy Assessments and Areal Estimates Using Two-Phase Stratified Random Sampling, Cluster Plots, and the Multivariate Composite Estimatorp. 79
Section II. Modeling Spatial and Temporal Uncertainty
Chapter 8 Acquisition of Spatial Data by Forest Management Agenciesp. 103
Chapter 9 Choosing Between Abrupt and Gradual Spatial Variation?p. 111
Chapter 10 Modeling the Spatial Distribution of Ten Tree Species in Pennsylvaniap. 119
Chapter 11 Realistic Spatial Models: The Accurate Mapping of Environmental Factors Based on Synecological Coordinatesp. 137
Chapter 12 Discrete Polygons or a Continuous Surface: Which is the Appropriate Way to Model Forests Cartographically?p. 151
Chapter 13 Statistical Models of Landscape Pattern and the Effects of Coarse Spatial Resolution on Estimation of Area with Satellite Imageryp. 161
Chapter 14 The Simultaneous Nature of Tree Growth Modelsp. 171
Chapter 15 Incorporating Soil Variability into a Spatially Distributed Model of Percolate Accountingp. 183
Chapter 16 Analyzing Spatiotemporal Dynamics of Plant Populations and Vegetationp. 203
Chapter 17 Space-Time Statistical Modeling of Environmental Datap. 213
Indexp. 237
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