Final Project

National average of SAT math scores compared to the percentages of students who has taken the test in each state. Percentages taken the test is showned by a black and white thematic map, and colored coded star symbols are shown to illustrate the average math scores for each state. As you can see the Midwest has the highest math average, but the lowest participation rate.

Week 10

This lab kinda brought it home for me. In the Military we use contour lines to judge elevation and pick out land features on a map. The grouping and painting all the features is what took me the longest. I like it though how adobe allows you to fill in the gaps too when your attempting to paint the space you need to fill in.

Module 9 Deliverables

Here is my map. Module 9 in cartography was a pretty nice challenge yet I ran into a few problems. One of them is attempting to draw straight line or better looking line than what I have on there. I used the equation From Module 7's lab to proportion my lines where I ended up having similar flow lines in the end. Therefore is why I placed a colored legend in my map so my reader could understand what I was attempting to tell them.

Module 7

I'm Sorry but I love my map. Detailed, you can see everything, I used the correct transparency, everything I did with this map turned out good and It actually looks like a map. I used equal intervals as my data classification and I guess it turned out ok. I put Russia out there in the water to show you where it was at, and also I completely deleted the Germany Label to show that it was not apart of the data or a customer of the wine institute.

Module 6

Here is part one of the lab. Pretty simple to convert from arc map to AI. I kept the traditional gray scale for the first project as well as the requirement for the second project. Just made things easier for me. I did however had to go back and review the layers video. Once I saw how the layers work in AI, my map came together pretty easy.



Here is my second map. I'm hoping I did this correct. I think the only think I did wrong was the gray scaling. I still have some white in my maps. But the excel work was pretty easier to work with in excel. Makes things so much easier when you use excel for multiple functions. Drag and Drop is my favorite phrase!!!!!!!!

Module 5 Map

Well here is my module 5 map. I tried a few different things with the map, like highlighting Florida with a bright green, then in the Florida state map I tried to use the same color scheme to show my reader where my target area was. Finally in 3rd map, where we show our population, I tried to use a color scheme that would fit in ARCmap by using the lighter colors for less population to darker colors for more. Again I believe when the reader sees my information, they will be able to determine which counties have the greater population. Now that I do notice it, I should of labeled somewhere that the map is listed by counties so my reader will not get confused. The only problem I had is that my mouse is horrible, and trying to line up the outline boxes using my mouse was a pain.

Module 4 D Maps

Here is my map for module 4. The biggest thing I had an issue with was trying to Make the city names and the city features stand out more. I tried to fill the background around the letters with white so it erases a little of the land features but I couldn't get it to work with adobe. I like adobe. At first it was frustrating dealing with the program because I have never used it before, but a couple of hours into using the program I was getting a hang of it.

Deliverables for Module 3 Data Classification

Here is the first part of the Data Classification Lab. I like the way how we can add multiple layers to our projects to display different types of maps. I used different colors to show the different types of data classifications, so my maps could be easier to read by my viewers.


The second part of this lab was to answer the question, Which classification do you think best represents the data and why? Well I believe the Natural Break method fits well with the data we were given. Looking closely at the map, you can see where the high population levels are at. Therefore if a company or someone wanted to market or target this specific population, they have a more detail view of which neighborhood has the highest population.

Good VS Bad Maps

This is my example of a good map. This is a military map and I'm use to these kinds of maps after spending 10 years in the military. The features of this maps has clear legend, good contour lines to judge elevation, and grid square to pin point your location within a meter.



















This is my example of a bad map. No legend, can't tell where north is on this map. The user of this map is not gonna find that airfield.

Intro

Set up and ready to go I think.

:)