SpatioTemporal (version 1.1.2)

SpatioTemporal-package: Spatio-Temporal Modelling

Description

Package for spatio-temporal modelling. Contains functions that estimate, simulate and predict from the model described in (Szpiro et.al., 2010; Sampson et.al., 2011; Lindstr�m et.al., 2010). The package also contains functions that handle missing data SVD in accordance with (Fuentes et.al. 2006). ll{ Package: SpatioTemporal Type: Package Version: 1.1.2 Date: 2012-10-09 License: GPL version 2 or newer LazyLoad: yes } Examples in the package uses data from the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air), (Cohen et.al.,2009).

item

• 1.1.0
• Reduced the memory footprint of predict.STmodel.�
• Error checks in c.STmodel and predict.STmodel, combination of STmodel objects with different covariate scaling is NOT possible.
• 1.0.7
• coef.estimateSTmodel and coef.estCVSTmodel functions that extract estimated parameters.
• Parameters for predict.STmodel and predictCV.STmodel can be specified using estimateSTmodel or estCVSTmodel objects.
• An lwd option to plot.predictSTmodel.
• A short introductory vignette as complement to the full tutorial.
• 1.0.6
• detrendSTdata now works for different regions.
• 1.0.5
• 1.0.4
• stop updateCovf crashing in Rscript/R CMD BATCH.
• 1.0.3
• 1.0.2
• 1.0.0
• Nuggets in the beta-fields
• Different nuggets for different locations in the nu-field.
• Different coordinates for beta and nu-fields, allowing for precomputed deformations
• Covariates can be specifed using formula-objects
• 0.9.2
• 0.9.0
• 0.1.0

itemize

• Different covariance functions

code

plotrix

References

M. A. Cohen, S. D. Adar, R. W. Allen, E. Avol, C. L. Curl, T. Gould, D. Hardie, A. Ho, P. Kinney, T. V. Larson, P. D. Sampson, L. Sheppard, K. D. Stukovsky, S. S. Swan, L. S. Liu, J. D. Kaufman. (2009) Approach to Estimating Participant Pollutant Exposures in the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air). Environmental Science & Technology: 43(13), 4687-4693.

M. Fuentes, P. Guttorp, and P. D. Sampson. (2006) Using Transforms to Analyze Space-Time Processes in Statistical methods for spatio-temporal systems (B. Finkenst�dt, L. Held, V. Isham eds.) 77-150

J. Lindstr�m, A. Szpiro, P. D. Sampson, L. Sheppard, A. Oron, M. Richards, and T. Larson T. (2010) A flexible spatio-temmporal model for air pollution: allowing for spatio-temporal covariates. Berkeley Electronic Press, University of Washington Biostatistics Working Paper Series, No. 370. http://www.bepress.com/uwbiostat/paper370

A. Szpiro, P. D. Sampson, L. Sheppard, T. Lumley, S. D. Adar, and J. D. Kaufman. (2010) Predicting intra-urban variation in air pollution concentrations with complex spatio-temporal dependencies. Environmetrics: 21, 606-631.

P. D. Sampson, A. Szpiro, L. Sheppard, J. Lindstr�m, J. D. Kaufman. (2011) Pragmatic Estimation of a Spatio-temporal Air Quality Model with Irregular Monitoring Data. Atmospheric Environment: 45(36), 6593-6606.

Examples

##For a short introduction see:
vignette("ST_intro",package="SpatioTemporal")

##For a worked out data-analysis exmaple see the tutorial.
##NOTE: This vignette is still work in progress
vignette("Tutorial",package="SpatioTemporal")