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Here is a list of my current and past research in environmental statistcs and data science.
My work can also be accessed via Google Scholar (select icon on the right) or by ResearchGate. (Current project updates can be found here occasionally.)
Post-doctorate Research: March 2022 - Present
Post-doctorate Research: March 2022 - Present
Summary:
Whetten, A. B., Hefley, T. J., & Haukos, D. A. (2024). Estimation of Contact Time Among Animals from Telemetry Data. The American Statistician, 1–16. https://doi.org/10.1080/00031305.2024.2402264
Aspray, E.K., Mies, T.A., McGrath, J.A., Whetten, A.B. Two decades of fumigation data from the Soybean Free Air Concentration Enrichment facility. Sci Data 10, 226 (2023). https://doi.org/10.1038/s41597-023-02118-x
Doctoral Research: December 2019 - May 2022
Doctoral Research: December 2019 - May 2022
Machine Learning Applications in Vegetation Dynamics
Characterizing Clustering Models of High-dimensional Remotely Sensed Data Using Subsampled Field-subfield Spatial Cross-validated Random Forests. November 2021. IJGER.
https://dc.uwm.edu/ijger/vol8/iss3/4/#.YYVY1diER4c.twitter
Detection of Multidecadal Changes in Vegetation Dynamics and Association with Intra-annual Climate Variability in the Columbia River Basin. Remote Sensing
Information Theorhetic Measures for Animal Telemetry
Smoothing Splines of Apex Predator Movement: Functional Modeling Strategies for Explorating Animal Behavior and Social Interaction. December 2021. Ecology and Evolution
https://doi.org/10.1002/ece3.8294
Localized Mutual Information Monitoring of Pairwise Associations of Animal Movement.
Dissertation: https://www.proquest.com/openview/558e9b8fe353f2ee2cbda297678e4039/1?pq-origsite=gscholar&cbl=18750&diss=y
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