This upcoming lab was different from previous ones as we were given free rein over which spatial analysis tools we would use in reference to our previous tornadoes project. For this lab, I primarily used point density as kernel density was not a functioning option for the tornado points--for some unknown reason. As a result of using point density, I also incorporated a time slider to show the tornado densities within an output cell size of .1731952 and a circle radius of 1.44329. I also chose to distinguish the map by decades in order to provide enough data for each individual map to ensure clarity.
As expected, the highest concentrations of tornadoes were located in the Midwest and the Gulf Coast from the years of 1970-2000. I initially attempted to change the color schemes of the tornado densities to help distinguish the decades, but I found it to be highly time consuming for time that I did not have in the moment. Below are the maps that I created for this project:
Interesting maps, Daniel! As you said, the Midwestern tornadoes make sense, but I did not know about Florida being such a haven for tornadoes as well. I'm curious to know: since kernel density was not a functioning option for the tornado points, how did you work around this lack of functionality to eventually create the kernel densities?
ReplyDeleteI was going to ask the same question as Mark, how did you get around kernel not working?
ReplyDeleteInteresting map! As a tip, the ... on the top right of symbology let you do nice things like import the ArcGiS intervals from other symbologies (easier to do a direct chloropleth comparison that way). The color schemes are tricky though, so many have a bottom as white rather than transparent. If you figure out how to get that around, please let me know!
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