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.

Lab 5 Proportional Symbols

This map had us using proportional symbols to show the population of India's cities.  The data had towns with populations ranging from 1,000 to more than 10 million.  This made symbology challenging.  Using symbols for the smallest towns to be visible produced huge symbols for the largest cities.  I used a nested legend with three sample sizes.  Created by Ray Eslinger in Nassau County Fl.

Lab 5 Proportional Symbols

This lab had us using proportional symbols to map positive and negative data.  The negative data first needed to be converted to positive.  The proportional symbology was used to demonstrate overall values.  Colors were used to show negative or positive jobs loss/ gain.  I used an inset map to show the congested northeast.  Created by Ray Eslinger in Nassau County Fl.

Lab 3 Part 3

For the last exercise of Lab 3 we were asked to add cities, states and the Mexican Capital to our map of Mexico’s River Systems.  The visual hierarchy of the map was Capital and Rivers followed by cities, and lastly the states.  We had to retain all the river labels from the previous map while adding Mexico City.  We needed to use symbology for the cities and states but not all areas needed to be labeled.  Dynamic labeling was used for the initial labeling.  I retained the river labels from the previous map and turned on the required layers one by one as defined by the maps hierarchy.  I first added the symbology for the capital city.  This caused some overlap so I converted the labels to annotation so I could tweak individually.  I kept Mexico City in the dominant position of upper right to its symbology and adjusted the surrounding river labels.  Mexico City used an Arial font with point size of 10 to show it was a cultural feature with the highest map hierarchy.  I then added the cities symbology I chose a tan color for both the symbology and labeling.  The tan draws the viewers’ attention before the states symbology but after the rivers in keeping with the map’s hierarchy.  The font was an Arial with point size of 7 to signify being cultural and in keeping with the hierarchy.  I converted the labels to annotation so that I could position individually to maximize the number displayed.  I lastly added the state symbology and labels.  I again used an Arial font to signify cultural but used all capital features to signify the political importance of these labels.  The visual hierarchy of this label was last so I used grey font slightly darker than the background color.  This downplays the labels while keeping them legible.  The dynamic labeling system was unable to display all labels especially in the busy central section of Mexico near Mexico City.  This was left unchanged due to the lower hierarchy of this layer on the map.  I added a detail map of the Mexico City but ended up removing it because it didn’t help clarify the area.  It was still pretty busy.  Created by Ray Eslinger in Nassau County Fl.