Lab 6, Bivariate choropleth

 

For the second part of this weeks lab I had to create a bivariate choropleth map comparing obesity and activity in USA. For the first part of the lab I had to break the obesity percentages and activity percentages into 3 quantile classes. for obesity I had made 3 categories, A,B,C, and for activity I separated the percentages into 1,2,3. To get my quantile class breaks I used the graduated symbology with 3 classes using the quantile method for my class breaks. I then calculated the values into my new class activity and class obesity fields. I then made a 3 field to combine my class, creating 9 classes. 

To get my color scheme I first chose the purple single hue sequential color scheme from color brewer. I then went to the color wheel and chose a slightly off complimentary color, going with a gold color. I then had to mix the colors to fill in the rest of the colors, resulting in the legend I have in my map presented above.

lab 6 part 1

 For this portion of Lab 6 I learned how to use and create meaningful legends for proportional data. Below is a map I created of the USA showing different states increase or decrease in employment.

To achieve this map I had to do some data manipulation. I first had to separate the jobs that decrease and the jobs that increase. I had to do this because negative numbers are not allowed to be used in proportional symbology. I then use proportional symbology for my newly created layers and match the classes to each other. I then had to create the legend by converting the legend made by ArcPro into graphics. For my legend I wanted to have a legend similar to the example in the lab. To achieve this legend I first added all of my symbology, matching the circle sizes by creating 4 classes for my jobs lost group and 5 for my jobs gained group. I then made my minimum the same for both layers. For my symbology I used the Jobs gained layer and changed the circles to no color fill and a black outline. After I changed my symbology back to the green color I wanted it to be. I then used the graphic to nest the circles within each other as I did previously in this lab

Lab 5, the Link between childhood poverty and teen birth rates

 For this lab I was given an excel spreadsheet of data from all the counties in the United States. I decided to compare teen birth rates and childhood poverty. Using the data provided i created 2 maps, 2 bar graphs, 2 pie charts, and a scatter plot comparing the 2 factors. 

For my layout I wanted to have a large title with a small paragraph explaining why teen birth rates and childhood poverty were linked. I wanted to have at least one academic journal article as a reference when writing this paragraph to show my sources. I decided to stack the 2 maps on top of each other with their correlating bar graphs and pie charts next to them to have a consistent flow of information.

Lab 4 part 2

 

For this map I chose the classification method of Natural Jenks. This choice was through trail and error of my other leading choice of manual intervals. At first I set mutual intervals of 8 classes breaking the data up by 10s. This ended up being a not so great choice when discovering that most of the data fell between below 0 and 10. To be able to see the variations of data I went with natural jenks. This allowed the data to be conveyed in a more intuitive way. With the formula choosing naturally occurring clusters so the value changes from below 0 and 10 are in different classes and are represented in the map. I chose 8 classes to not group all large values in one class break.

For my legend I changed the percentages to whole numbers to make it easier to read. The colors I chose were red to blue, because these are the colors of the American flag. I added the percent sign after each values to clearly depict these values being percentages

Lab 4 Color Concepts and Choropleth Mapping

 

The purpose of this lab was to calculate rgb values for different color ramps. I was provided the values for the darkest color in the color ramp and was tasked to create a linear and adjusted progression color ramp. When creating my linear color ramp I had to find the average value increase from darkest to lightest with 6 colors in total. When finding the lightest color I changed my color mode form RGB to HSV to keep the hue around the same but change the saturation and value. I then subtracted the values of the darkest and lightest RGB values and got the average by dividing by 5.

For the adjusted progression color ramp I took the average and got ⅓ of it. I then added ⅓ and subtracted ⅓ from the average. In an excel spreadsheet I had 5 rows, the top being the ⅓ higher, middle being the average, and last being ⅓ lower. In between in spots 2 and 4 i got the average of the middle and highest and middle and lowest. I then added these to the rgb values of the darkest color, continuing to add until I got to the lightest color.

For the color brew ramp I went to colorbrew.com and selected of the color ramps provided

While doing the linear color progression the color increases gradually, increasing by the same amount with every color. When calculating the adjusted progression the rbc values increase from light to dark. From the lightest colors there is not a very large difference between the colors. Once we get to the larger colors the color has a greater more visible difference. When using the color brewer I chose a multi hue color ramp. The lightest color in the color ramp is almost white. The colors rgb values very much more sporadically than with the ramp I calculated. The hue changes cause the R values to decrease in the middle, then increase again after that. This color ramp has the most distinct color variation than both that I calculated, which I believe allows the colors to be more easily distinguishable.