New York, Oxford University Press, 1997, 483 стр.
В книге описываются разведочный анализ данных, детерминированые и
вероятностные модели, моделирование региональных трендов, различные
виды кригинга и нюансы их использования.
Оглавление:
Exploratory data analysis
Univariate description
Bivariate description
Univariate spatial description
Bivariate spatial description
Main features of the Jura data
The random function model
Deterministic and probabilistic models
The random function model
[b]Inference and modeling[/b]
Statistical inference
Modeling a Regionalization
Modeling a Coregionalization
Local estimation: Accounting for a single attribute
The kriging paradigm
Simple kriging
Ordinary kriging
Kriging with a trend model
Block kriging
Factorial kriging
Dual kriging
Miscellaneous aspects of kriging
Local estimation: Accounting for secondary information
Exhaustive secondary information
The cokriging approach
Assessment of local uncertainty
Two models of local uncertainty
The multiGaussian approach
The indicator approach
Using local uncertainty models
Performance comparison
Assessment of spatial uncertainty
Estimation versus simulation
The sequential simulation paradigm
Sequential Gaussian simulation
Sequential indicator simulation
The LU decomposition algorithm
The p-field simulation algorithm
Simulated annealing
Simulation of categorical variables
Miscellaneous aspects of simulation
Exploratory data analysis
Univariate description
Bivariate description
Univariate spatial description
Bivariate spatial description
Main features of the Jura data
The random function model
Deterministic and probabilistic models
The random function model
[b]Inference and modeling[/b]
Statistical inference
Modeling a Regionalization
Modeling a Coregionalization
Local estimation: Accounting for a single attribute
The kriging paradigm
Simple kriging
Ordinary kriging
Kriging with a trend model
Block kriging
Factorial kriging
Dual kriging
Miscellaneous aspects of kriging
Local estimation: Accounting for secondary information
Exhaustive secondary information
The cokriging approach
Assessment of local uncertainty
Two models of local uncertainty
The multiGaussian approach
The indicator approach
Using local uncertainty models
Performance comparison
Assessment of spatial uncertainty
Estimation versus simulation
The sequential simulation paradigm
Sequential Gaussian simulation
Sequential indicator simulation
The LU decomposition algorithm
The p-field simulation algorithm
Simulated annealing
Simulation of categorical variables
Miscellaneous aspects of simulation