The effect of the persistence of spatial patterns on the performance of space-time sampling designs is explored by a simulation study. The performance is evaluated on the basis of the covariance matrix of the two parameters (intercept and slope) of a linear model for the change over time of the spatial means or totals. The evaluated sampling approach is hybrid, i.e. design-based estimation of spatial means from spatial probability samples is combined with time-series modelling of the spatial means. A simulation algorithm is presented for approximating the covariance matrix of the time-series model parameters from a full space-time model. Designs were evaluated on the basis of the determinant of this matrix and the variance of the estimated ...
Historical persistence studies and other regressions using spatial data commonly have severely infla...
This paper analyzes the use of stratification in the modeling of dependence for regionalized variabl...
Recent years have seen an intensive development in the field of spatial sampling methods, which gene...
The effect of the persistence of spatial patterns on the performance of space-time sampling designs ...
In monitoring the environment one often wishes to detect the temporal trend in a variable that varie...
This paper launches a hybrid sampling approach, entailing a design-based approach in space followed ...
This paper provides new tools for dynamic spatial sampling designs to find the optimal spatial mean ...
This paper pretends to give new tools for dynamic spatial sampling designs to find the optimal estim...
Estimating temporal trends in spatially structured populations has a critical role to play in unders...
Estimating temporal trends in spatially structured populations has a critical role to play in unders...
A practical problem in spatial statistics is that of constructing spatial sampling designs for envir...
Monitoring population numbers is important for assessing trends and meeting various legislative mand...
This dissertation consists of three papers written on the design and analysis of experiments in the ...
Many branches within geography deal with variables that vary not only in space but also in time. The...
sampling dynamic populations in space and time. / Ecography 27: 767/775. The estimation of spatial ...
Historical persistence studies and other regressions using spatial data commonly have severely infla...
This paper analyzes the use of stratification in the modeling of dependence for regionalized variabl...
Recent years have seen an intensive development in the field of spatial sampling methods, which gene...
The effect of the persistence of spatial patterns on the performance of space-time sampling designs ...
In monitoring the environment one often wishes to detect the temporal trend in a variable that varie...
This paper launches a hybrid sampling approach, entailing a design-based approach in space followed ...
This paper provides new tools for dynamic spatial sampling designs to find the optimal spatial mean ...
This paper pretends to give new tools for dynamic spatial sampling designs to find the optimal estim...
Estimating temporal trends in spatially structured populations has a critical role to play in unders...
Estimating temporal trends in spatially structured populations has a critical role to play in unders...
A practical problem in spatial statistics is that of constructing spatial sampling designs for envir...
Monitoring population numbers is important for assessing trends and meeting various legislative mand...
This dissertation consists of three papers written on the design and analysis of experiments in the ...
Many branches within geography deal with variables that vary not only in space but also in time. The...
sampling dynamic populations in space and time. / Ecography 27: 767/775. The estimation of spatial ...
Historical persistence studies and other regressions using spatial data commonly have severely infla...
This paper analyzes the use of stratification in the modeling of dependence for regionalized variabl...
Recent years have seen an intensive development in the field of spatial sampling methods, which gene...