Sampling and geostatistics for spatial data

Ecoscience

Volumn 9, Issue 2, 2002, Pages 152-161

  Ver Hoef, Jay ^a  

^a ALASKA DEPARTMENT OF FISH AND GAME   (United States)

Author keywords

Block kriging; Finite populations; Model based inference; Simulations

Indexed keywords

GEOSTATISTICS; KRIGING; SAMPLING; SPATIAL DATA;

EID: 0036303092     PISSN: 11956860     EISSN: None     Source Type: Journal    
DOI: 10.1080/11956860.2002.11682701     Document Type: Article

References (34)

1. An extension of the Horvitz-Thompson theorem to point sampling from a continuous universe
2. Design-based versus model-based estimates of spatial means: Theory and application in environmental soil science
3. Optimal and isarithmic mapping of soil properties: IV. Sampling Strategy
4. Fitting variogram models by weighted least squares
5. The origins of kriging
6. Asymptotics for REML estimation of spatial covariance parameters
7. Model free estimation from survey samples: A reappraisal of classical sampling theory
8. A quasi-likehood approach to the REML estimating equations
9. A generalization of sampling without replacement from a finite universe
10. Statistical estimation of polynomial generalized covariance functions and hydrology applications
11. Vegetation and soil relationships in the glade region of the southwestern Missouri Ozarks
12. Maximum likelihood estimation of models for residual covariance in spatial regression
13. Principles of geostatistics
14. How big a sample is needed for regional estimation of soil properties?
15. Recovery of interblock information when block sizes are unequal
16. Maximum likelihood estimation of components of variance
17. Geostatistics in ecology: Interpolating with known variance
18. Design-based and model-based inference for survey sampling
19. Asymptotically efficient prediction of a random field with a misspecified covariance function
20. Variable density grid-based sampling designs for continuous spatial populations
21. The influence of variogram parameters on optimal sampling schemes for kriging
22. Constrained optimisation of soil sampling for minimisation of the kriging variance
23. Predicting finite populations from spatially correlated data
24. Spatial statistics: Analysis of field experiments
25. Uncertainty and spatial linear models for ecological data
26. Computationally efficient restricted maximum likelihood estimation of generalized covariance functions