Our Paper on Benthic Ecosystem Health and Local Marine Economies in Florida and the Gulf

Iain and I wrote a brief paper on benthic ecosystem health and the marine economy in Florida and the Gulf, and we won the $2000 EPA NARS Data prize. We used econometric methods for our analysis. The full paper will be entered in January for the main prize. Link HERE From the Press release: WASHINGTON – TodayContinue reading “Our Paper on Benthic Ecosystem Health and Local Marine Economies in Florida and the Gulf”

Conserve.io collaboration: Using GIS and mobile technology to plot whales by species and behavior

Recently I was invited by Jake Levenson and the folks over at Conserve.io to help analyze spatial and quantitative data for a project by entitled “Conservation in the Cloud: Leveraging mobile technology connecting tourism & resource managers.” The plots that I contributed use data from their application to reflect real time whale sightings in two embayments in Iceland,Continue reading “Conserve.io collaboration: Using GIS and mobile technology to plot whales by species and behavior”

EPA Coastal Data Contest Winners

This week it was announced that Iain and I won the coastal data contest held by the US EPA’s National Aquatic Resource Survey (NARS, link here). We will use the $2000 prize to write up our formal analysis for the grand prize in January. Our paper linked benthic ecosystem data over time with socio-economic dataContinue reading “EPA Coastal Data Contest Winners”

Statistics for fisheries regulations

I wanted to post the question I wrote for the 2014 midterm in quantitative reasoning at MIT. The answers are italicized. It’s a good example of using quantitative reasoning for fisheries regulations planning. Question 4. It’s lobster season in Fiji. Villagers are allowed to take lobsters from a protected area for a two-week season everyContinue reading “Statistics for fisheries regulations”

Sea Turtle Nesting Habits & Socioeconomic Indicators in R (part II)

Last time I looked at correlations between actual nest building and socioeconomic variables like population in South Florida’s coastal counties, and per capita income. This time I am looking for relationships between emergence of the same three sea turtle species (loggerhead, green, and leatherbacks noted in their latin names in the code). Emergence means comingContinue reading “Sea Turtle Nesting Habits & Socioeconomic Indicators in R (part II)”

Sea Turtle Nesting Habits in R

I pulled together a small and simple data set to have a look at turtle nesting on South Florida’s beaches, and to see if it had any relationships to some easy-to-find socioeconomic data. I looked at nesting habits for greens, loggerheads, and leatherbacks to see if you could create linear regressions with population by county,Continue reading “Sea Turtle Nesting Habits in R”