Bayesian Modeling and Analysis of Geostatistical Data
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Summary
This work attempts a review of a fully model-based perspective for geostatistical data analysis, the approach of hierarchical modeling fitted within a Bayesian framework.
- Type
- article
- Published
- 2016-11-28
- Cited by
- 38
- References
- 62
- Access
- Open access
- OpenAlex
- https://openalex.org/W2517518255
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:23611562
Keywords
Categorical variable, Univariate, Computer science, Data mining, Bayesian probability
References
- Estimation and model identification for continuous spatial processes
- Interpolation of spatial data
- Model-based geostatistics - Discussion
- Gaussian processes:iterative sparse approximations
- A process-convolution approach to modelling temperatures in the North Atlantic Ocean
- Atmospheric Modeling, Data Assimilation and Predictability
- spBayes for Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models
- spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion Process
- spTimer: Spatio-Temporal Bayesian Modeling Using R
- A full scale approximation of covariance functions for large spatial data sets
- spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models.
- Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets
- Multivariate geostatistics: an introduction with applications
- Cokriging versus kriging in regionalized multivariate data analysis
- Improving the performance of predictive process modeling for large datasets
- Gaussian predictive process models for large spatial data sets
- Predicting random fields with increasing dense observations
- Space–Time Covariance Functions
- Constructing and fitting models for cokriging and multivariable spatial prediction
- Hierarchical Modeling and Analysis for Spatial Data
Cited by
- On nearest-neighbor Gaussian process models for massive spatial data
- Methods for analysis and uncertainty quantification for processes recorded through sequences of images
- Bayesian Dynamic Linear Models for Estimation of Phenological Events from Remote Sensing Data
- Climate change, interspecific competition, and poleward vs. depth distribution shifts: Spatial analyses of the eastern Bering Sea snow and Tanner crab (Chionoecetes opilio and C. bairdi)
- Small-area methods for investigation of environment and health
- A geographic identifier assignment algorithm with Bayesian variable selection to identify neighborhood factors associated with emergency department visit disparities for asthma
- Mapping the probability of exceeding environmental quality standards for Cd and Pb concentrations in soil of northern Tarim Basin using Bayesian geostatistical model
- An audit of uncertainty in multi-scale cardiac electrophysiology models
- Model-based spatial-temporal mapping of opisthorchiasis in endemic countries of Southeast Asia
- An Introductory Framework for Choosing Spatiotemporal Analytical Tools in Population-Level Eco-Epidemiological Research
- A stratified generalized additive model and permutation test for temporal heterogeneity of smoothed bivariate spatial effects
- Incorporating Biotic Information in Species Distribution Models: A Coregionalized Approach
- Pivotal discrepancy measures for Bayesian modelling of spatio-temporal data
- Bayesian Modeling of Discrete-Time Point-Referenced Spatio-Temporal Data
- sdmTMB: An R Package for Fast, Flexible, and User-Friendly Generalized Linear Mixed Effects Models with Spatial and Spatiotemporal Random Fields
- SPATIO-TEMPORAL MODELLING FOR NONSTATIONARY POINT REFERENCED DATA
- The spatial-temporal risk profiling of Clonorchis sinensis infection in South Korea: A geostatistical modeling study
- The spatial-temporal distribution of soil-transmitted helminth infections in Guangdong Province, China: A geostatistical analysis of data derived from the three national parasitic surveys
- Bayesian Geostatistical Modeling to Assess Malaria Seasonality and Monthly Incidence Risk in Eswatini
- Mortality Associated with Ambient PM2.5 Exposure in India: Results from the Million Death Study
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