Lab post #10 - Bivariate

I really enjoy this map and research. The color scheme is clean, and noticeably different in color shades. The sizes of houses are distinguishably different as well and stand out nicely against the shades of color. I wish the map was the greater focus of this flyer, but overall it was a job well done. 

LAB 10 let's try this again

Maybe this will work better - a little better, yeah. 1 inch represents 42 miles.

Lab 10 - LAST MAP YESSSS

Lab 10 - last one!
I'm proud. I'm proud of how far I've come in this class, how much I've learned about cartography, and how much I've learned about time management (haha, but seriously, I've learned a lot). This map is a bivariate map, and I did my best to correlate with colors. I found out too late into the process that my data did not involve ALL the data of North Carolina counties, so I had to work with what I had. I'm happy with this map, and I hope you are pleased as well.

Peace out

So I've just looked at it online, and it's NOT what it looks like on illustrator. Um.... lemme look.

Lab #9: Dot Density Map

Lab 9. This map shows the density of horses and ponies owned in West Virginia. 

Here is lab 9. It's clean and shows the density of where horses and ponies owned in West Virginia are located. Each dot represents 17 horses or ponies.

Weekly Blog Post: #9

I chose this map because it is a dot density map I have ever seen. It is dot density, yes, but the dots being different colors demonstrating red/pink/purple affects to the states makes it visually interesting. Although it is not the easiest to read, and I would not depend on this map to read who won the election, I like the creativity. The darker purple blue is dominantly Obama, the more pink/red is Romney, and the green is barely seen throughout this map. I believe this map was executed properly, but it is not the most accurate of a dot density map.

Final Project Proposition

Got it! Before I chose my final project data, I had just learned that my family sold our house to the current renters in Ohio. My whole life I have moved (military - Coast Guard brat) but for a while I was too young to recall any of the reasons we lived in a state or country, and the specific county or city. Back to the people buying our house, I got thinking about why they wanted to buy the house, what was it about the neighborhood etc, and I did some searching. In Virginia, I have found dangerous dog listing (determined by the local court) data per county of Virginia. This is the map I am creating. I am counting, per county, the dangerous dogs that are listed in order to help homeowners, and maybe parents with young children, decide where they may choose to move in Virginia.

The data I gained is from Data Virginia, from Virginia.gov, and seems legitimate in its data and covers all counties. Although a majority of the counties seem to have very few or no dangerous dogs, I feel that it would be very helpful and potentially reason for change of moving plans for homeowners. I have searched for maps of dangerous dogs in Virginia and no results came up, so I may be the first one to create this map!

This link is the website data.virginia.gov where I found the material for dangerous dogs: https://data.virginia.gov/agriculture/
This link is where the actual data is from: https://dd.va-vdacs.com/public/public.cgi

I'm still contemplating between the types of maps, but I am going back and forth between choropleth or dot map. The data ranges from 0 to 42 dogs, and majority are 0, 1, 2, and 3 dogs per county. Thoughts?

I need a basic Virginia basemap, which I can possibly use from past labs.
The map below is a dangerous dog map based in Minneapolis. I could possibly do something like this as well, might be more visually enticing.

Blog #8 Isoline Map

Here it is, Lab 8. This is the map I'm most proud of yet. I put in a lot of time and effort to make sure I could really produce it well, and I think I did. I hope you like it!