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.
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