Spatial Sampling with R - Couverture souple

Brus, Dick J.

Couverture souple

ISBN 10 : 1032193867 ISBN 13 : 9781032193861

Editeur : Chapman and Hall/CRC, 2026

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�diteur: Chapman and Hall/CRC
Date d'�dition: 2026
Langue: anglais
ISBN 10: 1032193867
ISBN 13: 9781032193861
Reliure: Broch�
Nombre de pages: 548
Coordonn�es du fabricant: non disponible
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ISBN 10 : 1032193859 ISBN 13 : 9781032193854
Editeur : Chapman & Hall/CRC, 2022
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Spatial Sampling with R (Paperback)

Dick J. Brus

Edit� par Taylor & Francis Ltd, London, 2026

ISBN 10 : 1032193867 ISBN 13 : 9781032193861

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Paperback. Etat : new. Paperback. Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some cases even unsuitable for their aim. One reason is that sampling is frequently overlooked in statistics courses. Another reason is the lack of practical textbooks on sampling. Numerous books have been published on the statistical analysis and modelling of data using R, but to date no book has been published in this series on how these data can best be collected. This book fills this gap. Spatial Sampling with R presents an overview of sampling designs for spatial sample survey and monitoring. It shows how to implement the sampling designs and how to estimate (sub)population- and space-time parameters in R.Key featuresDescribes classical, basic sampling designs for spatial survey, as well as recently developed, advanced sampling designs and estimatorsPresents probability sampling designs for estimating parameters for a (sub)population, as well as non-probability sampling designs for mappingGives comprehensive overview of model-assisted estimatorsCovers Bayesian approach to sampling designIllustrates sampling designs with surveys of soil organic carbon, above-ground biomass, air temperature, opium poppyExplains integration of wall-to-wall data sets (e.g. remote sensing images) and sample dataData and R code available on githubExercises added making the book suitable as a textbook for studentsThe target group of this book are researchers and practitioners of sample surveys, as well as students in environmental, ecological, agricultural science or any other science in which knowledge about a population of interest is collected through spatial sampling. This book helps to implement proper sampling designs, tailored to their problems at hand, so that valuable data are collected that can be used to answer the research questions. Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some cases even unsuitable for their aim. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9781032193861

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Spatial sampling with R

Brus, Dick J.

Edit� par Chapman and Hall/CRC, 2026

ISBN 10 : 1032193867 ISBN 13 : 9781032193861

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Spatial sampling with R

Brus, Dick J.

Edit� par Chapman and Hall/CRC, 2026

ISBN 10 : 1032193867 ISBN 13 : 9781032193861

Neuf Couverture souple

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Spatial sampling with R

Brus, Dick J.

Edit� par Chapman and Hall/CRC, 2026

ISBN 10 : 1032193867 ISBN 13 : 9781032193861

Neuf Couverture souple

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Spatial Sampling with R

Dick J. Brus

Edit� par CRC Press, 2026

ISBN 10 : 1032193867 ISBN 13 : 9781032193861

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Etat : New. Dick J. Brus worked as a researcher and statistics teacher at the Wageningen University and Research (Netherlands) for 38 years. His main fields of interest are sampling theory and geostatistics. He has gathered rich research experience in develop. N� de r�f. du vendeur 3401322842

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Spatial Sampling with R (Paperback)

Dick J. Brus

Edit� par Taylor & Francis Ltd, London, 2026

ISBN 10 : 1032193867 ISBN 13 : 9781032193861

Neuf Paperback

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Paperback. Etat : new. Paperback. Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some cases even unsuitable for their aim. One reason is that sampling is frequently overlooked in statistics courses. Another reason is the lack of practical textbooks on sampling. Numerous books have been published on the statistical analysis and modelling of data using R, but to date no book has been published in this series on how these data can best be collected. This book fills this gap. Spatial Sampling with R presents an overview of sampling designs for spatial sample survey and monitoring. It shows how to implement the sampling designs and how to estimate (sub)population- and space-time parameters in R.Key featuresDescribes classical, basic sampling designs for spatial survey, as well as recently developed, advanced sampling designs and estimatorsPresents probability sampling designs for estimating parameters for a (sub)population, as well as non-probability sampling designs for mappingGives comprehensive overview of model-assisted estimatorsCovers Bayesian approach to sampling designIllustrates sampling designs with surveys of soil organic carbon, above-ground biomass, air temperature, opium poppyExplains integration of wall-to-wall data sets (e.g. remote sensing images) and sample dataData and R code available on githubExercises added making the book suitable as a textbook for studentsThe target group of this book are researchers and practitioners of sample surveys, as well as students in environmental, ecological, agricultural science or any other science in which knowledge about a population of interest is collected through spatial sampling. This book helps to implement proper sampling designs, tailored to their problems at hand, so that valuable data are collected that can be used to answer the research questions. Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some cases even unsuitable for their aim. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9781032193861

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Spatial Sampling with R

Dick J Brus

Edit� par Taylor & Francis Ltd Jul 2026, 2026

ISBN 10 : 1032193867 ISBN 13 : 9781032193861

Neuf sonst. B�cher

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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sonst. B�cher. Etat : Neu. Neuware - Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some cases even unsuitable for their aim. One reason is that sampling is frequently overlooked in statistics courses. Another reason is the lack of practical textbooks on sampling. Numerous books have been published on the statistical analysis and modelling of data using R, but to date no book has been published in this series on how these data can best be collected. This book fills this gap. Spatial Sampling with R presents an overview of sampling designs for spatial sample survey and monitoring. It shows how to implement the sampling designs and how to estimate (sub)population- and space-time parameters in R.Key features - Describes classical, basic sampling designs for spatial survey, as well as recently developed, advanced sampling designs and estimators - Presents probability sampling designs for estimating parameters for a (sub)population, as well as non-probability sampling designs for mapping - Gives comprehensive overview of model-assisted estimators - Covers Bayesian approach to sampling design - Illustrates sampling designs with surveys of soil organic carbon, above-ground biomass, air temperature, opium poppy - Explains integration of wall-to-wall data sets (e.g. remote sensing images) and sample data - Data and R code available on github - Exercises added making the book suitable as a textbook for students The target group of this book are researchers and practitioners of sample surveys, as well as students in environmental, ecological, agricultural science or any other science in which knowledge about a population of interest is collected through spatial sampling. This book helps to implement proper sampling designs, tailored to their problems at hand, so that valuable data are collected that can be used to answer the research questions. N� de r�f. du vendeur 9781032193861

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