This project finds the number of people per meteor sighting within a major metropolitan area. I brought in and analyzed a data set from the Wolfram Data Repository and a GeoTIFF from Columbia University to create a representation of how population density of a particular area, affects the number of meteors found in that same vicinity. The image displayed on the microsite is a combination of the two data sets that I analyzed within this project.
The Process:
- I had to import information from Data repository and the the Columbia Database. The Population data took a bit of time to acquire and analyze because the file was imported as a ZipFile containing several, rather unreadable, files.
- I created a visual GeoGraphic to see how the two sets of data appeared in relation to each other and the world.
- From here, I had to find a way to quantify the data. I set up a GeoHistogram and divided up the world into hexagonal “bins” that returned the number of meteorite sightings that occurred within that geographical bin.
- Using the GeoHistogram and the data sets, I found the coefficient of people to meteorite sightings, found in the Function “meteoritesPerPerson”
- The last step was to create a microsite that, when given a city, returned the number of people per meteorite sighting for that respective geographical area.
All of my code and relevant screenshots are located in the attached notebook.