For the map below, I was tasked with measuring the relationship between deer-vehicle accidents (DVA), and street density in St. Louis County, Missouri. After comparing the DVA occurrences to randomly generated point data, it was clear street density had a strong correlation with DVAs with a p value of 0.005634266. Additionally, four months (June, October, November, and December) all had visibly higher DVA counts compared to months of the year.
The map below was created for an assignment in my “Landscape Ecology and GIS II” course. We were provided shapefiles of local roads (city, county, state, and national) as well as a csv file of the site of fire ignition sources. I converted the csv data into a point file and ran proximity analyses to identify clusters of fire ignition occurrences. Additionally, I created a bivariate legend to visualize the distribution of fire ignition points based on the proximity to city/county and state/national roads. Finally, histograms for these occurrences were created for the data based on all roads, city/county roads, and state/national roads. Further research questions could include identifying what kinds of infrastructure correlate to fire ignition sites (campsite, rv hookup, etc.) or how hiking trails are correlated to fire ignition locations.
This project was completed for my “Advanced Remote Sensing” final exam and my goal was to use the skills I had learned in class to apply to a real life problem – locating fish at the Texas Coast! In my experience fishing at the Texas coast, I have been able to find fish Redfish (Sciaenops ocellatus) and Speckled Sea Trout (Cynoscion nebulosus) in a few different types of habitat. Redfish often hang out in shallow mangrove flats or oyster beds during the warmer months while Speckled Sea Trout can be found in shallow seagrass beds with potholes – spots within seagrass beds that reveal hard bottom. Satellite imagery uses wavelengths outside of the visible spectrum (what we can see with our human eye) that tells a more detailed story than pictures from Google Maps can tell.