Nassau County Florida Fire Hydrants Ray Eslinger

Created by Ray Eslinger in Nassau County
Created by Ray Eslinger in Nassau County Florida.

UWF Researchers Compile Bear/Vehicle Collisions Data for State Wildlife Officials

UWF Researchers Compile Bear/Vehicle Collisions Data for State Wildlife Officials Pensacola – Vehicles have killed more than 200 bears each year in Florida since 2012, according to the Florida Fish and Wildlife Conservation Commission. That is a marked surge from 1990 when crashes were responsible for only 33 bear deaths. Bears have become more common in recent years in suburban and urban areas as development around bear habitats has picked up and the state’s population has grown. Florida’s number of black bears has risen from about 300 in the 1970s to over 4,000 today while the state’s human population has risen from 6.7 million in 1970 to 20.3 million in 2015, according to the FWC. Ray Eslinger, who graduated from the University of West Florida last fall, and Dr. John Morgan, an assistant professor in the Department of Earth and Environmental Sciences at UWF, have produced research that could help state wildlife officials curb those collisions in the future. Cont

Nassau County Florida Hiking and Paddle Trails

Created by Ray Eslinger in Nassau County
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Lab 10 Temporal Mapping

Beginning Screenshot

Created by Ray Eslinger in Nassau County Fl.

 For this exercise I created a temporal map of the world’s volcanic eruptions.  Normally the video for a map such as this would advance by some unit of time such as year.  However the data had large gaps in years between volcanic eruptions.  As a result I created a sequence attribute that displayed the eruptions in order.  This provided a much more effective video with no gaps between eruptions.  Temporal maps are much more effective with video.  Video makes it easier to spot relationships and sequencing. The three images to the left are screen shots taken from the video.

Middle Screenshot

Lab 9 Bivariate Choropleth Mapping

The data for a bivariate map must be normalized like a regular choropleth map.  In this case obesity and physical inactivity are percentages of county population.  The data must then be broken into classes.  Choropleth maps with more than 9 classes are confusing and hard to read.  Data for this map was divided into 3 classes which produced a 9 class bivariate map.  Created by Ray Eslinger in Nassau County Fl.

Lab 8 Analytical Data

I incorporated what we learned this semester with color, typography, and balance to layout my infographic.  I chose two complementary colors purple and green for my two data frames.  I used color brewer to easily get similar saturation and lightness levels.  I chose green as the background color for the infographic and used my darkest purple from my obesity color ramp as the font color.  I placed the data frames with the obesity and diabetes levels in the center to establish the hierarchy.  To balance the infographic I placed supporting information to the sides.   I used the darkest purple and green from my color ramps for the chart colors.  I used a single sans serif font of various point sizes for the typography.  Created by Ray Eslinger in Nassau County Fl.

Lab 6 Choropleth Mapping

This lab had us making a choropleth map of population change in Georgia.  I first normalized the data by determining the percent of gain or loss for Georgia's County's populations. I then chose the complementary colors of purple and green to use with a diverging color ramp.  I created a basic legend showing the data classes created with natural breaks.  Created by Ray Eslinger in Nassau County Fl.