Science Inventory

Dumelle, M., M. Higham, AND J. Ver Hoef. Oregon State University Presentation: Spatial Modeling and Prediction in R Using spmodel. Oregon State University Department of Fisheries and Wildlife Seminar, Corvallis, OR, January 08, 2024.

Dumelle, M., M. Higham, AND J. Ver Hoef. Spatial Modeling and Prediction in R Using spmodel. Oregon State University Department of Water Resources Engineering Seminar, Corvallis, OR, February 28, 2024.

Higham, M., M. Dumelle, C. Hammond, J. Ver Hoef, AND J. Wells. An application of spatio-temporal modeling to finite population abundance prediction. JOURNAL OF AGRICULTURAL, BIOLOGICAL, AND ENVIRONMENTAL STATISTICS. American Statistical Association, Alexandria, VA, , s13253-023-00565-y, (2023). https://doi.org/10.1007/s13253-023-00565-y

Ver Hoef, J., M. Dumelle, M. Higham, E. Peterson, AND D. Isaak. Indexing and Partitioning the Spatial Linear Model for Large Data Sets. PLOS ONE . Public Library of Science, San Francisco, CA, 18(11):e0291906, (2023). https://doi.org/10.1371/journal.pone.0291906

Dumelle, M., E. Peterson, J. Ver Hoef, A. Pearse, AND D. Isaak. SSN2: Spatial modeling on stream networks. U.S. Environmental Protection Agency, Washington, DC, 2023.

Dumelle, M., M. Higham, AND J. Ver Hoef. spmodel Workshop - Spatial Statistics 2023: Climate and the Environment. 2023 Spatial Statistics Conference, Boulder, CO, July 18 - 21, 2023.

Dumelle, M., M. Higham, AND J. Ver Hoef. spmodel: Spatial Statistical Modeling and Prediction in R. PLOS ONE . Public Library of Science, San Francisco, CA, 18(3):e0282524, (2023). https://doi.org/10.1371/journal.pone.0282524

Higham, M., J. Ver Hoef, B. Frank, AND M. Dumelle. sptotal: an R package for predicting totals and weighted sums from spatial data. Journal of Open Source Software. Journal of Open Source Software, 8(85):05363, (2023). https://doi.org/10.21105/joss.05363

Dumelle, M., M. Higham, J. Ver Hoef, A. Olsen, AND L. Madsen. A comparison of design-based and model-based approaches for finite population spatial sampling and inference. Methods in Ecology and Evolution. Wiley-Blackwell Publishing, Hoboken, NJ, 13(9):2018-2029, (2022). https://doi.org/10.1111/2041-210X.13919

Dumelle, M., M. Higham, AND J. Ver Hoef. Spatial Statistical Modeling and Prediction in R. U.S. Environmental Protection Agency, Washington, DC, 2022.

Fox, E., J. Ver Hoef, AND Tony Olsen. Comparing Spatial Regression to Random Forests for Large Environmental Data Sets. PLOS ONE . Public Library of Science, San Francisco, CA, 15(3):e0229509, (2020). https://doi.org/10.1371/journal.pone.0229509

Fox, EricW, J. Ver Hoef, AND Tony Olsen. Comparing spatial regression to random forests for large environmental data sets. Joint Statistical Meeting, Baltimore, MD, July 29 - August 03, 2017.