Sampling Techniques for Spatial Domains

Providing a single source of sample survey designs currently in use for spatial and spatial-temporal studies, Sampling Techniques for Spatial Domainsgathers a large body of research in one comprehensive book.

Sampling Techniques for Spatial Domains

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Sampling Techniques for Spatial Domains
Language: en
Pages: 512
Authors: Mary Christman
Categories: Mathematics
Type: BOOK - Published: 2010-03-01 - Publisher: Chapman & Hall/CRC

Providing a single source of sample survey designs currently in use for spatial and spatial-temporal studies, Sampling Techniques for Spatial Domainsgathers a large body of research in one comprehensive book. Each chapter presents a particular method of sampling, followed by discussion of the optimal strategies used in the sampling effort.
The University of Virginia Record
Language: en
Pages:
Authors: University of Virginia
Categories: Mathematics
Type: BOOK - Published: 1979 - Publisher:

Books about The University of Virginia Record
Advanced Techniques for Audio Watermarking
Language: en
Pages: 101
Authors: Rohit M. Thanki
Categories: Technology & Engineering
Type: BOOK - Published: 2019-07-26 - Publisher: Springer

This book provides information on digital audio watermarking, its applications, and its evaluation for copyright protection of audio signals – both basic and advanced. The author covers various advanced digital audio watermarking algorithms that can be used for copyright protection of audio signals. These algorithms are implemented using hybridization of
Remote Sensing Image Analysis: Including the Spatial Domain
Language: en
Pages: 359
Authors: Steven M. de Jong, Freek D. van der Meer
Categories: Science
Type: BOOK - Published: 2007-07-26 - Publisher: Springer Science & Business Media

Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for
Statistical Methods for Spatial Data Analysis
Language: en
Pages: 512
Authors: Oliver Schabenberger, Carol A. Gotway
Categories: Mathematics
Type: BOOK - Published: 2017-01-27 - Publisher: CRC Press

Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial