Basic information
Announcements
Subgroups
Meeting activities
Group members
Reference list
Software and Packages
Data sites
Working groups dial-in & WebEx instructions

For questions or comments on the webpage, please contact the webmaster, Esther Salazar esalazar@samsi.info.

Basic information

Part of the 2009 SAMSI Program on Space-time Analysis for Environmental Mapping, Epidemiology and Climate Change
Meeting time/location: Friday, 11:00am - 12:45pm, SAMSI, Room 203
Leaders: Scott Holan and Noel Cressie
Webmaster: Esther Salazar
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Announcements

Final Working group meeting: Friday, May 7, 2010
Time: 11:00am - 12:45pm
Venue: SAMSI, Room 203

Agenda
1. Presentation by Sourish Das, “Space Time Analysis via Particle Filter”
2. Updates on progress from sub-working groups
3. Final discussion and future planning

Goals and outcomes for the working group

This is the Goals and Outcomes document that has been compiled based upon feedback from members of the working group.

Subgroups

Dimension reduction for spatio-temporal processes
- Leader: Orietta Nicolis (orietta DOT nicolis AT unibg DOT it)
Types of spatial models used in space-time modeling
- Leader: Noel Cressie (ncressie AT stat DOT osu DOT edu)
Statistical computing for spatio-temporal modeling
- Leaders: Kate Cowles and Brian Smith (kcowles AT stat DOT uiowa DOT edu; brian-j-smith AT uiowa DOT edu)
Substantive scientific problem
- Leader: Bruno Sanso (bruno AT ams DOT ucsc DOT edu)

Meeting activities

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Date	Topics and Readings	Notes
05/07/2010	Space Time Analysis via Particle Filter	Sourish Das, Minutes
04/23/2010	Bayesian Models for Fish Species Richness in the Gulf of Maine	Xia Wang, Minutes
03/26/2010	Spatially Varying Autoregressive Processes	Bruno Sanso, Minutes
03/12/2010	Surveillance for detecting emergent space-time clusters	Renato Assuncao additional slides, Minutes
02/26/2010	Ensemble Kalman Filters	Hans Kuensch (additional figures), Minutes
02/12/2010	Spatio-Temporal Models for Gaussian Areal Data	Marco Ferreira, Minutes
02/05/2010	Dynamic Spatial Models, Bayesian Methods in Syndromic Surveillance	Dani Gamerman, Frank Zou, Minutes
01/29/2010	Spatial Dynamic Factor Analysis, Using Temporal Variability to Improve Spatial Mapping with Application to Satellite Data AOD data from the MISR instrument can be downloaded at: SSES program	Hedibert Lopes, Emily Kang, Minutes
01/22/2010	Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models	Sujit Ghosh, Minutes
01/15/2010	Spatio-Temporal Statistics, Including Covariates in Covariance Structures	Minutes
12/11/2009	Understanding Covariance Tapering	Ben Shaby, Minutes
12/04/2009	Ancillary Sufficient Interweaving Scheme	Murali Haran, Minutes
11/20/2009	Monte Carlo Strategies for Calibration in Climate Models	David Matteson, Gabriel Huerta, Minutes
11/13/2009	RAMPS - an R package for complex spatiotemporal data	Brian Smith, Kate Cowles, Minutes
11/06/2009	Parallel computing, Hierarchical Spatial Process Models	Virgilio Gómez-Rubio, Sudipto Banerjee, Minutes
10/30/2009	Modeling Dynamic Controls on Ice Streams	Noel Cressie, Minutes
10/23/2009	Covariance tapering, Petroleum applications	Jo Eidsvik, Orietta Nicolis, Minutes
10/16/2009	Regional climate models	Linder's Presentation , Minutes
10/09/2009	Parallel computing , S4 classes in R	Blair's Presentation, Minutes
10/02/2009	High performance computing and dimension reduction	Minutes
09/25/2009	Introductory meeting	Minutes

Group members

E-mail alias for the group is sp-comp AT samsi.info.

Name	Affiliation	E-mail address
Renato Assuncao	Universidade Federal de Minas Gerais	assuncao AT est DOT ufmg DOT br
Soutir Bandyopadhyay	Texas A&M University	soutir AT stat DOT tamu DOT edu
Sudipto Banerjee	University of Minnesota	sudiptob AT biostat DOT umn DOT edu
Francisco M Beltran	University of California Santa Cruz	beltran63 AT gmail DOT com
K Sham Bhat	Penn State	kgb130 AT psu DOT edu
Lisha Chen	Yale University	lisha DOT chen AT yale DOT edu
James Christian	EPA	blair DOT christian AT gmail DOT com
Kate Cowles	University of Iowa	kcowles AT divms DOT uiowa DOT edu
Noel Cressie	Ohio State University	ncressie AT stat DOT osu DOT edu
Sourish Das	SAMSI/Duke University	sourish DOT das AT stat DOT duke DOT edu
Yiping Dou	UBC Vancouver	ydou AT stat DOT ubc DOT ca
David Dunson	Duke University	dunson AT stat DOT duke DOT edu
Marco Ferreira	University of Missouri	ferreiram AT missouri DOT edu
Andrew Finley	Michigan State University	finleya AT msu DOT edu
Virgilio Gomez-Rubio		Virgilio DOT Gomez AT uclm DOT es
Cindy Greenwood	Arizona State University	pgreenw AT math DOT asu DOT edu
Michele Guindani	University of New Mexico	michele AT stat DOT unm DOT edu
Dorit Hammerling	University of Michigan	doritmh AT umich DOT edu
Murali Haran	Penn State	mharan AT stat DOT psu DOT edu
John Harlim	New York University	jharlim AT cims DOT nyu DOT edu
Zhuoqiong He	University of Missouri	hezh AT missouri DOT edu
Felix Hermann	UBC Vancouver	fherrmann AT eos DOT ubc DOT ca
Scott Holan	University of Missouri	holans AT missouri DOT edu
Gabriel Huerta	University of New Mexico	ghuerta AT stat DOT unm DOT edu
Monica Jackson		monica AT drlady DOT com
Gardar Johannesson	Lawrence Livermore National Laboratory	gardar AT llnl DOT gov
Mikyoung Jun	Texas A&M University	mjun AT stat DOT tamu DOT edu
Karen Kafadar	Indiana University	kkafadar AT indiana DOT edu
Emily Kang	Ohio State University	lei AT stat DOT osu DOT edu
Matthias Katzfuss	Ohio State University	katzfuss AT stat DOT osu DOT edu
Bledar Konomi	Texas A&M University	alexandros AT stat DOT tamu DOT edu
Peter Kramer	Rensselaer Polytechnic Institute	kramep AT rpi DOT edu
Hans Kuensch	Swiss Federal Institute of Technology	kuensch AT stat DOT math DOT ethz DOT ch
Jaeyong Lee		leejyc AT gmail DOT com
Michael Levine	Purdue University	mlevins AT purdue DOT edu
Ye Liang	University of Missouri	ye DOT liang AT mizzou DOT edu
Ernst Linder	University of New Hampshire	elinder AT unh DOT edu
Yajun Liu	University of Missouri	ylq89 AT mizzou DOT edu
Desheng Liu	Ohio State University	liu DOT 738 AT osu DOT edu
Hedibert Lopes	University of Chicago	hedibert DOT lopes AT chicagobooth DOT edu
Gabriele Martinelli	Norwegian University of Science and Technology	gabriele DOT martinelli AT math DOT ntnu DOT no
David Matteson	Cornell University	dm484 AT cornell DOT edu
Orietta Nicolis	University of Bergamo, Italy	orietta DOT nicolis AT unibg DOT it
Doug Nychka	NCAR	nychka AT ncar DOT edu
Esther Salazar	SAMSI	esalazar AT samsi DOT info
Bruno Sanso	University of California Santa Cruz	bruno AT ams DOT ucsc DOT edu
Benjamin Shaby	SAMSI	bshaby AT gmail DOT com
Brian Smith	University of Iowa	brian DASH j DASH smith AT uiowa DOT edu
Ron Smith	Center for Ecology and Hydrology	ris AT ceh DOT ac DOT uk
Ingelin Steinsland	Norwegian University of Science and Technology	ingelins AT math DOT ntnu DOT no
Dongchu Sun	University of Missouri	sund AT missouri DOT edu
Martin Tingley	SAMSI	martin DOT tingley AT gmail DOT com
Alejandro Villagran	Rice University	avillagran AT stat DOT rice DOT edu
Jay Wang	NISS	qqwjq9916 AT gmail DOT com
Chris Wikle	University of Missouri	wiklec AT missouri DOT edu
Chang Xu	University of Missouri	cx3z9 AT missouri DOT edu
Hongxia Yang	Duke University	firewater1984 AT gmail DOT com
Chengwei Yuan	University of New Hampshire	cw DOT yuan AT unh DOT edu
Jun Zhang	University of Wisconsin	jzhang AT stat DOT wisc DOT edu
James Zidek	UBC Vancouver	jim AT stat DOT ubc DOT ca
Jian Zou	NISS	frankzou AT niss DOT org
Xia Wang	NISS	xiawang AT niss DOT org

Reference list

Papers on climate models

DeGaetano, A.T. (2006) Attribute of several methods for detecting discontinuities in mean temperature series. J. Climate, 14, 838-853.
Caussinus, H. and Mestre, O. (2004) Detection and correction of artificial shifts in climate series. Applied Statistics, 53, 405-425.
Della-Marta, P. M. and Wanner, H. (2006) A method for homogenizing the extremes and mean of daily temperature measurements. J. Climate, 19, 4179-4197. Click here
Lu, Q., Lund, R. B., and Lee, T. C. (2009) An MDL approach to climate segmentation problem. Annals of Applied Statistics, In Press.
Menne, M. J., and Williams, C. N. Jr. (2009) Homogenization of temperature series via pairwise comparisions. J. Climate, 22, 1700-1717
Menne, M. J., Williams Jr, C. N. and Vose, R. S. (2009) The United States historical climatology network serial montly temperature data - Version 2. Bull. Amer. Metr. Soc., 90, 993-1007.
Berliner, M., Cressie, N., Jesek, K., Kim, Y., Lam, C. Q., and van der Veen, C. J. (2008) Equilibrium dynamics of ice streams: a Bayesian statistical analysis. Statistical Methods and Applications, 17, 145-165. [pdf]

Papers on Spatial and Spatio-Temporal Models

Johannesson, G., Cressie, N., and Huang, H.-C. (2007) Dynamic multi-resolution spatial models. Environmental and Ecological Statistics, 14, 5-25.
Shi, T. and Cressie, N. (2007) Global statistical analysis of MISR aerosol data: A massive data product from NASA's Terra satellite. Environmetrics, 18, 665-680. Click here
Cressie, N. and Johannesson, G. (2008). Fixed rank kriging for very large spatial data sets. Journal of the Royal Statistical Society, Series B, 70, 209-226.
Zheng, Y., Zhu, J., and Li, D. (2008). Analyzing spatial panel data of cigarette demand: A Bayesian hierarchical modeling approach. Journal of Data Science, 6, 467-489 Click here
Gelfand, A. E., Zhu, L., and Carlin, B. P. (2001) On the change of support problem for spatio-temporal data. Biostatistics 2, 1, pp 31-45. Click here
Holan, S., Wang, S., Arab, A., Sadler, J.E., and Stone, K. (2008) Semiparametric Geographically Weighted Response Curves with Application to Site-Specific Agriculture, Journal of Agricultural, Biological, and Environmental Statistics Volume 13, Number 4, Pages 424–439 [ pdf]
Finley, A. O., Banerjee, S., and McFarland, D. W., (2009) A hierarchical model for predicting forest variables over large heterogeneous domains. [pdf]
Banerjee, S., Finley, A. O., Waldmann, P., Ericsson, T. (To Appear-2009) Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials. Journal of the American Statistical Association [pdf]

Papers on Computation

Holan, S., Davis, G., Wildhaber, M., DeLonay, A., & Papoulias, D. (2009) Hierarchical Bayesian Markov Switching Models with Application to Predicting Spawning Success of Shovelnose Sturgeon. Journal of the Royal Statistical Society - Series C. 58: 47–64. Click here
Knaus, J., Porzelius, C., Binder, H., and Schwarzer, G (2009) “Easier Parallel Computing in R with snowfall and sfCluster” The R Journal, Current Issue, pp: 54-60 Click here
Cornebise, J., Moulines, E. and Olsson, J. (2008), Adaptive methods for sequential importance sampling with application to state space models, Statistics and Computing, 18(4), 461–480. [bib | pdf ]
Smith, B.J., Yan, J. and Cowles, M.K. (2008) Uniﬁed Geostatistical Modeling for Data Fusion and Spatial Heteroskedasticity with R package ramps. Journal of Statistical Software, 25(10), 1–21 Click here
Cowles, M.K., Yan, J., Smith, B.J. (2009) Reparameterized and Marginalized Posterior and Predictive Sampling for Complex Bayesian Geostatistical Models. Journal of Computational and Graphical Statistics. 18(2): 262-282.
Villegran, A., Huerta, G., Jackson C.S., Sen, M.K. Computational Methods for Parameter Estimation in Climate Models. Bayesian Analysis. 1(1), 1-27. [pdf]
Yu, Y. and Meng, X., To Center or Not to Center: That is Not the Question —An Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Efficiency. [pdf]

Software and Packages

Analysis of spatial data using R Click here
Time series analysis using R Click here
“splancs” is an R package on spatial and space-time point pattern analysis. Click here.
R packages on Bayesian inference Click here
“RAMPS” is a new R package on unified Bayesian geostatistical modeling of complex spatiotemporal data. Read the news about the package in ISBA bulletin at page 12-15. Click here You can download the package from the following link. Click here

Data sites

Atlantic Tropical Storm Tracking by Year Click here
NOAA Hurricane track for Atlantic and East North Pacific basin Click here
NCDC: Online Climate Data Directory Click here

Working groups dial-in & WebEx instructions

Go to the email invitation that you received announcing the meeting, or go directly to WebEx: https://samsi.webex.com
Click on the link for the meeting you want to join
- Enter Your Name, Your Email Address and the meeting password from the email invitation
- The first time you use WebEx, the Meeting Manager will run and it will take about a minute to setup.
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Dial the teleconference line: 919-685-9338
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- Please dial no earlier than 5 minutes prior to the start of the working group meeting.

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You can learn more about WebEx and take tutorials at http://university.webex.com.