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![]( "Buchcover ISBN 9781118441886")
Spatio-temporal Design
Advances in Efficient Data Acquisition
herausgegeben von Jorge Mateu und Werner G. MüllerA state-of-the-art presentation of optimum spatio-temporalsampling design - bridging classic ideas with modern statisticalmodeling concepts and the latest computational methods.
Spatio-temporal Design presents a comprehensivestate-of-the-art presentation combining both classical and moderntreatments of network design and planning for spatial andspatio-temporal data acquisition. A common problem set isinterwoven throughout the chapters, providing various perspectivesto illustrate a complete insight to the problem at hand.
Motivated by the high demand for statistical analysis of datathat takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatialstatistics and stochastic processes, and combines them to discussoptimum spatio-temporal sampling design.
Spatio-temporal Design: Advances in Efficient DataAcquisition:
* Provides an up-to-date account of how to collect space-timedata for monitoring, with a focus on statistical aspects and thelatest computational methods
* Discusses basic methods and distinguishes between design andmodel-based approaches to collecting space-time data.
* Features model-based frequentist design for univariate andmultivariate geostatistics, and second-phase spatial sampling.
* Integrates common data examples and case studies throughout thebook in order to demonstrate the different approaches and theirintegration.
* Includes real data sets, data generating mechanisms andsimulation scenarios.
* Accompanied by a supporting website featuring R code.
Spatio-temporal Design presents an excellent book forgraduate level students as well as a valuable reference forresearchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.
Spatio-temporal Design presents a comprehensivestate-of-the-art presentation combining both classical and moderntreatments of network design and planning for spatial andspatio-temporal data acquisition. A common problem set isinterwoven throughout the chapters, providing various perspectivesto illustrate a complete insight to the problem at hand.
Motivated by the high demand for statistical analysis of datathat takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatialstatistics and stochastic processes, and combines them to discussoptimum spatio-temporal sampling design.
Spatio-temporal Design: Advances in Efficient DataAcquisition:
* Provides an up-to-date account of how to collect space-timedata for monitoring, with a focus on statistical aspects and thelatest computational methods
* Discusses basic methods and distinguishes between design andmodel-based approaches to collecting space-time data.
* Features model-based frequentist design for univariate andmultivariate geostatistics, and second-phase spatial sampling.
* Integrates common data examples and case studies throughout thebook in order to demonstrate the different approaches and theirintegration.
* Includes real data sets, data generating mechanisms andsimulation scenarios.
* Accompanied by a supporting website featuring R code.
Spatio-temporal Design presents an excellent book forgraduate level students as well as a valuable reference forresearchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.
