this exercise made us utilize the skills we had learned in making the proportional symbol map and the chloropleth map to create a bivariate map. This is a map that has both a cholorpleth map for a base with proportional symbols overlayed on top of them. We were required to map two sets of data the related in a way that they would make sense if they were mapped together. I chose to map only the area of Wisconsin the data that was mapped was population by county and total number of violent crime cases in each county. Just like the proportional symbol map the hardest part of this map making process was to find data that both correlated and that could be mapped visually well. I obtained my crime rate data from http://oja.state.wi.us/sites/default/-files/Crime_2011.pdf and my population data from http://dhs.wisconsin.gov/population/index.htm. I then had to put this data into class breaks that I was able to choose. This map was very hard to keep it seeming uncluttered seeing as how much had to be mapped on it and since there were two seperate variables needing to be mapped. Also color selection was very key, i couldnt choose two colors that would look to simmilar or the data could be confused but at the same time I needed to maintain colors that were easily distinguishable.
Monday, December 9, 2013
exercise 8 bivariate map
Bivariate map showing corolation between population and violent crime cases
this exercise made us utilize the skills we had learned in making the proportional symbol map and the chloropleth map to create a bivariate map. This is a map that has both a cholorpleth map for a base with proportional symbols overlayed on top of them. We were required to map two sets of data the related in a way that they would make sense if they were mapped together. I chose to map only the area of Wisconsin the data that was mapped was population by county and total number of violent crime cases in each county. Just like the proportional symbol map the hardest part of this map making process was to find data that both correlated and that could be mapped visually well. I obtained my crime rate data from http://oja.state.wi.us/sites/default/-files/Crime_2011.pdf and my population data from http://dhs.wisconsin.gov/population/index.htm. I then had to put this data into class breaks that I was able to choose. This map was very hard to keep it seeming uncluttered seeing as how much had to be mapped on it and since there were two seperate variables needing to be mapped. Also color selection was very key, i couldnt choose two colors that would look to simmilar or the data could be confused but at the same time I needed to maintain colors that were easily distinguishable.
this exercise made us utilize the skills we had learned in making the proportional symbol map and the chloropleth map to create a bivariate map. This is a map that has both a cholorpleth map for a base with proportional symbols overlayed on top of them. We were required to map two sets of data the related in a way that they would make sense if they were mapped together. I chose to map only the area of Wisconsin the data that was mapped was population by county and total number of violent crime cases in each county. Just like the proportional symbol map the hardest part of this map making process was to find data that both correlated and that could be mapped visually well. I obtained my crime rate data from http://oja.state.wi.us/sites/default/-files/Crime_2011.pdf and my population data from http://dhs.wisconsin.gov/population/index.htm. I then had to put this data into class breaks that I was able to choose. This map was very hard to keep it seeming uncluttered seeing as how much had to be mapped on it and since there were two seperate variables needing to be mapped. Also color selection was very key, i couldnt choose two colors that would look to simmilar or the data could be confused but at the same time I needed to maintain colors that were easily distinguishable.
exercise 7 proportional symbol map
Proportional Symbol map of Total amount of hospitals per state
This map shows the total amount of hospitals per state. The in structions for this exercise were to create a proportional symbol map by finding data from the internet that would display variation across the area being mapped. The base map was exported from ARCMAP and the data was collected from kff.org/other/state-indicator/total-hospiatls/. I chose to go with the area of the United States where my data was collected and mapped over. One of the hardest and most frustrating parts of this exercise was finding data to map in the first place. I had may ideas for what to map there just wasnt data available to make the map or it didnt display well when it was changed into symbols meaning there was little variance in size or that the data didnt vary enough. I learned in the process of making this map that it is very easy to make a map to cluttered and over complicated. I was forced many times to downsize to overall size of the symbols so that the workspace did not feel to cluttered. I also chose not to go with an inset legend since i had a lot of open space on the right side of my map that needed to be filled to maintain visual balance.
exercise 6 chloropleth map of louisiana
Chloropleth Map of Louisiana population claiming American Ancestary
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This chloropleth map displays the number of people in Louisiana counties clamming American Ancestary. This data was US Census data that was given to us by our instructor to complete this map. We then had to use this date and create class breaks fror the data classifying them into a Quintile class break or Equal interval class break by both total number which is represented by the green and percentage which is represented by the pink/magenta color . This was probably the second hardest portion of the exercise, figuring out where the class breaks lie so that it would come out equal for 5 different classes. Though the hardest part of the exercise was figuring out where all the counties were since the area was unfamiliar to myself.
exercise 4 global positioning sysytems
GPS Mapping
This exercise required us to utilize a GPS unit and collect data waypoints of a feature that we wanted to map. ( a handheld E-trex unit was used to obtain my data) The only guidelines we had were that we had to have at least 30 points mapped and that we were limited to the Eau Claire area. We took the information collected and inputted it into ARCMAP overlayed on top of a satalite map of the area. The data that is mapped in my particular map is the location of some geocaches in the Eau Claire area. I with the help of a friend who was much more veresd in geocaching took a day and walked around and mapped each point where we found the particular chache. the biggest pitfall in this project was figuring our how to input the data into arcmap in the first place but once that was figured out the rest went very smoothly.
exercise 3 south america projections
Multiple Map projections of South America
For this exercise we were required to use ARCMAP to obtain multiple different projections of South America and arange them on the same illustrator document. This was our first project that required the use of ARCMAP so it was a challange figuring out how to use the program and keeping all the projections the same scale and size so the would line up correctly in the end. We were then required to write how changing the projection changed how the land was viewed and what they would be best suited for mapping (small,medium or large scale)
exercise 2 reference map of Africa
Africa Refernce Map
The purpose of this project was to use a base map given of Africa and utilize it to create our own reference map using colors and labeling that we came up with. We were given all the lables that had to be included on the map along with general guidlines for map making as it was our first map that was made for the class. The biggest issue with this project was decing how large to make labels for countries, water bodies and physical features that would keep them uniform while still being able to fit them in a clean manor within the neatline of the map.
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