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”

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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”