This is the map place

 For my proportional symbols, I did have some issue with the negatives. The symbols were inversed so the negatives closer to zero had larger symbols than the ones further away. My solution was, once the negatives were isolated, I multiplied them by negative one to make them positive and the symbols made logical sense after that. To create a bivariate choropleth map, you'll need two variables. The range of those variables need to be broken down and portioned into classes. Once the two variables have classes assigned, those separate classes need to be combined and symbolized. A merging color scheme will be established to show the relationship between the two variables as they increase or decrease.

(My Jpeg wasn't uploading so I used a screenshot)   I followed the lab instructions on getting my maps aligned. After that, I organized my two bar charts underneath their respective maps. I also added my scatterplot and used that to get my summary statistic. Then I added a light grey background to make the information stand out more. I felt it over the top to symbolize wealth with greens and death with blacks or red. If I was going for a more radical inflammatory approach, I would've opted for those changes. Instead, I tried to keep my colors as simple as the message "how much you make, increases the likelihood your child survives". I did use italic on my font to make it more eye-catching versus solid blocky text.

 ColorBrewer: Adjusted Progression:  Linear:  The linear and adjusted progression color ramps appear to follow a much more rigid association with the starting and ending colors. The ramp I found from the ColorBrewer website quickly appeared to lose the greenish hue and end on more grey and white notes. While this would appear visually distinct on the map, I find that it loses some of the intrinsic association between features. If I have a dark green and a light green, and I know both come from the same dataset, I can judge that they represent some degree of intensity or increase in amount of data represented. When I compare dark green to white, that doesn’t tell me much about the difference between these two features without referring to the legend. The time saving aspect of ColorBrewer is wonderful in comparison though, and I could have spent more time selecting a color gradient that suited my needs. I used a blue to red color system with percentages shown. Blue shows a...

This week, we worked on terrain visualization. To create the varied products for this lab, we used: hill shading, symbology, and contouring. For my landcover map, I tried to use colors that had a logical consistency with the real world feature they were representing.