This book will be useful both to those new to spatial uncertainty assessment and to experienced practitioners.
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Inside This Book
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First Sentence:
Accuracy assessment of natural resource data can play a narrowly defined role in the quality control of a range of essential mapping activities, but it can also play a much larger role in supporting the collection, management, storage, use, and archiving of geospatial data. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multivariate composite estimator, reference classifier, soil spatial variation, gradual spatial variation, forest management agencies, thistle population, map classifier, quadrat locations, spatial data acquisition, sample variogram, data life cycle, photo plots, recharge flux, linear trend model, basal area increment, increment model, crown ratio, local outliers, spatial error, cluster statistics, indicator simulation, areal estimates, forest volume, high resolution satellite images, location uncertainty Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, John Wiley, Case Study, Forest Service, Soil Sci, Oxford University Press, South China Sea, Monte Carlo, Number of Data, Photogrammetric Eng, Iowa State University, Montmorency Forest, Ann Arbor, Applied Geostatistics, Cambridge University Press, Corn Past, Doctor of Philosophy, Nearest Neighbor Index, Richard Cutler, Riemann Hershey, Spatial Accuracy Assessment, Ames Research Center, Clarendon Press, Colorado Plateau, Discrete Polygons New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Accuracy assessment of natural resource data can play a narrowly defined role in the quality control of a range of essential mapping activities, but it can also play a much larger role in supporting the collection, management, storage, use, and archiving of geospatial data. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multivariate composite estimator, reference classifier, soil spatial variation, gradual spatial variation, forest management agencies, thistle population, map classifier, quadrat locations, spatial data acquisition, sample variogram, data life cycle, photo plots, recharge flux, linear trend model, basal area increment, increment model, crown ratio, local outliers, spatial error, cluster statistics, indicator simulation, areal estimates, forest volume, high resolution satellite images, location uncertainty Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, John Wiley, Case Study, Forest Service, Soil Sci, Oxford University Press, South China Sea, Monte Carlo, Number of Data, Photogrammetric Eng, Iowa State University, Montmorency Forest, Ann Arbor, Applied Geostatistics, Cambridge University Press, Corn Past, Doctor of Philosophy, Nearest Neighbor Index, Richard Cutler, Riemann Hershey, Spatial Accuracy Assessment, Ames Research Center, Clarendon Press, Colorado Plateau, Discrete Polygons New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 70
books:
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- Remote Sensing: Symposium Proceedings by G. K. C. Pardoe on 5 pages
- The Accuracy Of Spatial Databases by Michael F. Goodchild in Front Matter, page 99, and page 134
- Model Assisted Survey Sampling (Springer Series in Statistics) by Carl-Erik Särndal on page 77, and page 99
- An Introduction to Applied Geostatistics by Edward H. Isaaks on page 134, and page 149
- Quantifying Spatial Uncertainty in Natural Resources by H. Todd Mowrer in Front Matter (1), and Front Matter (2)
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