I joined the Rose-Hulman Mathematics Department in 2016 after completing my PhD in Statistics at the University of Minnesota. Areas of interest in my research include bootstrapping techniques, wavelets, and statistical modeling. I tend to be attracted to analyzing data with spatio-temporal structures.
The "North American Ponderosa Pine Tree-Ring Width Records" applet allows visualization of spatial and temporal relationships among tree-ring records for pinus ponderosa.
The "Continental U.S.: Capability for Text-to-911 by County" applet allows visualization of counties where it is possible to text 911 in an emergency.
YouTube link (in case the video does not appear on this website): https://youtu.be/auV1LMkjcTc
*Visualization won University of Minnesota's U-Spatial Mapping Prize – “Graduate Student – Most Provocative/Transformative”
YouTube link (in case the video does not appear on this website): https://youtu.be/UrMlfsa1lJM
The original crop yield data are available from http://quickstats.nass.usda.gov/. The climate variables used to predict crop yield in the Machine Learning and Data Mining approaches to Climate Science chapter are originally from https://mygeohub.org/groups/u2u/acv. The compiled Excel versions I used within Esri ArcMAP and within the chapter are also provided below. Any user of these datasets should cite the original source.