Sunday, February 28, 2021

Bivariate Mapping

 This week, we worked on bivariate choropleth mapping and proportional symbology.  Below is a bivariate map I created to show the relationship between the percentage of inactivity and the percentage of obesity in the United States.


I think bivariate mapping creates the best visual example of mapping the relationship between two variables that I have ever seen and worked with.  Provided the correlation is strong, this form of mapping condenses so much information into an image that is both easy to understand and pleasant to look at.  I am very thankful for the opportunity to learn this mapping technique because I think it will be very useful in my future endeavors, whatever they may be.  Instead of having to read a lot of text and look at multiple keys to understand a two-variable relationship, a map like this allows you to gain a solid understanding from a relatively quick glance.  And the greatest effect comes from a solid understanding of color and the ability to turn map items into graphics for free arrangement.  I had never done this before this lab and I find it much easier to work with, although probably more limited in scope, than Adobe Illustrator.


Monday, February 22, 2021

Infographic

 This week, we created an infographic using information from the 2018 County Health Rankins National Data.  I selected unemployment and children in poverty as my two variables for comparison.  Please view the infographic I created below.


Monday, February 15, 2021

Color and Choropleth

 This week, we experimented with color ramps and worked to develop a deeper understanding of how color is used to develop more meaningful and beautiful maps.  Below is a map of population change in the state of Colorado from 2010 to 2014.  I used a 4 part color ramp with two classes showing population increase and two classes showing population decrease.  I used a divergent color ramp from Color Brewer and manually created the colors on my ramp using the RGB values listed on Color Brewer.



Saturday, February 6, 2021

Terrain Visualization

 This week, we explored terrain visualization tools in ArcGIS Pro.  We explored DEM's and TIN's, contour intervals, and hillshade effects.  Below is a map I created of the landcover in Yellowstone National Park.  This landcover map is overlaying a DEM with a multidirectional hillshade effect.




Saturday, January 30, 2021

Map Projections

 This week, we learned more about projections.  We learned how they work, how to identify the best projection for your intended purpose, how to create custom projections, and the science and history behind projections.  Below, I created a map of my home state of Nebraska.  I used the Nebraska State Plane Projection and added a grid and graticules.


This projection is appropriate because it is the only State Plane projection for the state of Nebraska and is therefore developed specifically for general use with the state.  This is a general use map where we wish to preserve shape and area as best as possible, so this selection makes the most sense.


Tuesday, January 26, 2021

Typography and Labeling of the San Francisco Bay Area

For this week's exercise, we were tasked with labeling various features in the San Francisco Bay area. Below is the map I created:

I chose Sitka font for this project because I felt like a serif font helped me read smaller type. For each respective category, I changed the font size from large to small depending on the relative size of the object being labeled within each category.  For example, when labeling the water features, I used the largest font on the Pacific Ocean, the next largest for the San Francisco Bay, and so on.  I used this same philosophy when naming all of the general features with the largest being San Francisco, Marin Peninsula, and so on.  I created a visual hierarchy by separating each category of feature by at least 2 font sizes with the water and general features. 

I used 8-point font on all parks and topographic names and 10-point font size for the Golden Gate Bridge.  I placed most every label on top of the respective feature and used halos or shadows with different colors to represent the various categories.  This helped each font stand out amongst a busy background. I used a white halo for the general category, a green halo for parks, and a yellow shadow for the geographic features.  I did not use a halo for the water features or the Golden Gate Bridge. I did use Italic font for the water features, however. I also used a callout for Lake Merced and the Golden Gate Bridge.