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INTERESTS

spatial and spatio-temporal statistics, Bayesian methodology and computation, applications in the environmental sciences
SUMMARY OF CURRENT PROJECTS

My primary research interests are in spatial and spatio-temporal statistics, especially dimension reduction and multivariate methods in both of these areas, and in Bayesian methods and computation. Currently, I am developing a class of latent variable models for categorical spatial and spatio-temporal data with Ph.D. student Candace Berrett. I am also exploring methods for incorporating output from numerical models into space-time statistical models for processes with complex (i.e., nonstationary and anisotropic) covariance structures with Dr. Tao Shi (Statistics) and Candace Berrett.

I am involved in several collaborative projects that require the development of spatial statistical methodology motivated by problems in the following areas of application: (1) assessing the impact of fire on the atmospheric concentration of black carbon aerosols in Southeast Asia, with Drs. Darla Munroe (Geography), Tao Shi (Statistics), and Ningchuan Xiao (Geography) as part of the FLAMES Project; (2) exploring the patterns, causes, and consequences for crime and other problem behaviors of space and time use, with Drs. Chris Browning (Sociology), Lauren Krivo (Sociology), Mei-Po Kwan (Geography), and Ruth Peterson (Sociology); (3) exploring the spatially-varying association between annual accumulation and the North Atlantic Oscillation (NAO) using ice core records from the Greenland ice sheet with Drs. Peter Craigmile (Statistics) and Ellen Mosley-Thompson (Byrd Polar and Geography); (4) modeling the spread of infectious diseases in wildlife populations, with Dr. Shannon LaDeau (Smithsonian); and (5) determining regional atmospheric concentrations of trace gases using DOAS methods with Drs. Heather Allen (Chemistry), Dr. Radu Herbei (Statistics), and Ph.D. student Chris Beekman (Environmental Science Graduate Program).

My current research is funded by grants from the NSF, NASA, the American Chemistry Council, and Ohio State's Climate, Water, and Carbon Program.

PUBLICATIONS

Journal Articles (Refereed):

Calder, C.A., Craigmile, P.F., and Zhang, J. Regional Spatial Modeling of Topsoil Geochemistry. Accepted for publication in Biometrics. (Technical Report PDF)

Cressie, N., Calder, C.A., Clark, J.S., Ver Hoef, J.M., and Wikle, C.K. Accounting for Uncertainty in Ecological Analysis: The Strengths and Limitations of Hierarchical Statistical Modeling. Accepted for publication in Ecological Applications. (Technical Report PDF)

Munroe, D.K., Wolfinbarger, S., Calder, C.A., Shi, T., Xiao, N., Lam, C.Q, Li, D. The Relationships Between Biomass Burning, Land-Cover/Use Change, and the Distribution of Carbonaceous Aerosols in Mainland Southeast Asia: A Review and Synthesis. Accepted for publication in Journal of Land Use Science. (Technical Report PDF)

Santner, T.J., Craigmile, P.F., Calder, C.A., and Paul, R. Demographic and Behavioral Modifiers of Arsenic Exposure Pathways: A Bayesian Hierarchical Analysis of NHEXAS Data. Accepted for publication in Environmental Science & Technology. (Technical Report PDF)

Xiao, N., Shi, T., Calder, C.A., Munroe, D.K., Berrett, C., Wolfinbarger, S., and Li, D. Spatial Characteristics of the Difference between MISR and MODIS Aerosol Optical Depth Retrievals over Mainland Southeast Asia. Accepted for publication in Remote Sensing of Environment. (Technical Report PDF)

Calder, C.A. (2008). A Bayesian Dynamic Process Convolution Approach to Modeling PM2.5 and PM10 Concentration Levels. Environmetrics, 19, 39-48, DOI: 10.1002/env.852. (HTML)

Calder, C.A., Craigmile, P.F., Mosley-Thompson, E. (2008). Spatial Variation in the Influence of the North Atlantic Oscillation on Precipitation Across Greenland. Journal of Geophysical Research, 113, D06112, doi:10.1029/2007JD009227. (PDF)

Calder, C.A., Holloman, C.H., Bortnik, S.M., Strauss, W.J., and Morara, M. (2008). Relating Ambient Particulate Matter Concentration Levels to Mortality Using an Exposure Simulator. Journal of the American Statistical Association, 103(481), 137-148. (HTML)

Li, H., Calder, C.A., and Cressie, N. (2007). Beyond Moran's I: Testing for Spatial Dependence Based on the SAR Model. Geographical Analysis, 39, 357-375. (HTML)

Calder, C.A. (2007). Dynamic Factor Process Convolution Models for Multivariate Space-Time Data with Application to Air Quality Assessment. Environmental and Ecological Statistics, 14, 229-247, doi:10.1007/s10651-007-0019-y. (HTML)

Cressie, N., Buxton, B.E., Calder, C.A., Craigmile, P.F., Dong, C., McMillan, N.J., Morara, M., Santner, T.J., Wang, K., Young, G., and Zhang, J. (2007). From Sources to Biomarkers: A Hierarchical Bayesian Approach for Human Exposure Modeling. Journal of Statistical Planning and Inference, 137, 3361– 3379. (HTML)

Wheeler, D. and Calder, C.A. (2007). An Assessment of Coefficient Accuracy in Linear Regression Models with Spatially Varying Coefficients. Journal of Geographical Systems, 9, 145-166.

Xiao, N., Calder, C.A., and Armstrong, M.C. (2007). Assessing the Effect of Uncertainty on Choropleth Map Classification. International Journal of Geographic Information Science, 21(2), 121-144. (HTML)

Mosley-Thompson, E., Readinger, C.R., Craigmile, P., Thompson, L.G., and Calder,C.A. (2005). Regional Sensitivity of Greenland Precipitation to NAO Variability. Geophysical Research Letters, 32, L24707, doi:10.1029/2005GL024776. (HTML)

Lee, H.K.H., Higdon, D.M., Calder, C.A., and Holloman, C.H. (2005). Efficient Models for Correlated Data via Convolutions of Intrinsic Processes. Statistical Modelling, 5(1), 53-74. (R code)

Holloman, C.H., Bortnik, S., Morara, M., Strauss, W., and Calder, C.A. (2004). A Bayesian Hierarchical Approach for Relating PM2.5 Exposure to Cardiovascular Mortality in North Carolina. Environmental Health Perspectives, 112(3), 1282-1288. (HTML)

Dunson, D.B., Holloman, C., Calder, C., and Gunn, L. (2004). Bayesian Analysis of Lesion Onset and Growth from Interval Censored Data. Biometrics, 60(3), 676-683.

Calder, C.A., Lavine, M., Muller, P., and Clark, J.S. (2003). Incorporating Multiple Sources of Stochasticity into Dynamic Population Models. Ecology, 84(6), 1395-1402. (HTML)

In Books (Refereed):

Calder, C.A. and Cressie, N. Kriging and Variogram Models. In the International Encyclopedia of Human Geography. In press.

Calder, C.A., Holloman, C., and Higdon, D. (2002). Exploring Space-Time Structure in Ozone Concentration Using a Dynamic Process Convolution Model. In Case Studies in Bayesian Statistics 6. 165-176.

In Books (Nonrefereed):

Kwan, M.-P., Peterson, R.D., Browning, C.R., Burrington, L., Calder, C.A., and Krivo, L.J. (2008). Reconceptualizing Sociogeographic Context for the Study of Drug Use, Abuse, and Addiction. In Geography and Drug Addiction, edited by Y. Thomas, D. Richardson, and I. Cheung, 445-454. Berlin: Springer-Verlag.

In Conference Proceedings (Nonrefereed):

Paul, R., Cressie, N., Buxton, B.E., Calder, C.A., Craigmile, P.F., Li, H., McMillan, N.J., Morara, M., Sanford, J., Santner, T.J., Zhang, J. A Bayesian Hierarchical Model of Arsenic Exposure Based on NHEXAS Data: A Comparison of US EPA Region 5 and Arizona. To appear in the Proceedings of the Joint Statistical Meetings. Salt Lake City, UT. July 29 - August 2, 2007.

Calder, C.A. and Cressie, N. Some Topics in Convolution-Based Spatial Modeling. Proceedings of the 56th Session of the International Statistics Institute. Lisbon, Portugal. August 22-29, 2007. (PDF)

Wheeler, D. and Calder, C.A. Bayesian Spatially Varying Coefficient Models in the Presence of Collinearity. Proceedings of the Joint Statistical Meetings. Seattle, WA. August 6-10, 2006. (PDF)

Calder, C.A. Efficient Posterior Inference and Prediction of Space-Time Processes Using Dynamic Process Convolutions. In the Joint Proceedings of the Sixth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences and the Fifteenth Annual Conference of TIES, The International Environmetrics Society. Portland, Maine. June 28 - July 1, 2004. (PDF)

Other (Nonrefereed):

Calder, C.A. (2006). Bayesian Modeling of Exposure Pathways. International Society for Bayesian Analysis (ISBA) Bulletin, 13(1), 10-12.

Manuscripts Under Review:

LaDeau, S.L., Kilpatrick, A.M., Calder, C.A., Marra, P.P. West Nile Virus Revisited: Consequences for North American Ecology. (Submitted February 2008)

Craigmile, P.F., Calder, C.A., Li, H., Paul, R., and Cressie, N. Hierarchical Model Building, Fitting, and Checking: A Behind-the-Scenes Look at a Bayesian Analysis of Arsenic Exposure Pathways. (Submitted December 2007; Technical Report PDF)

Browning, C.R., Byron, R., Calder, C.A., Krivo, L.J., Kwan, M.-P., Lee,J.Y., and Peterson, R.D. Commercial Density, Residential Concentration, and Crime: Land Use Patterns and Violence in Neighborhood Context. (Submitted October 2007)

Krivo, L.J., Byron, R.A., Calder, C.A., Peterson, R.D., Browning, C.R., Kwan, M.-P., Lee, J.Y. Patterns of Local Segregation: Do They Matter for Neighborhood Crime? (Submitted August 2007).

Department of Statistics
The Ohio State University