Before I ask my question, I want to say upfront that I am woefully inexperienced with coding as well as GIS, which is part of the reason why I'm here.
I am currently working on a project where I am using Census tract data to figure out the population characteristics of the city council districts of several major US cities. For the cities that I have completed so far, I have been simply uploading the KML files for both the city council districts and the corresponding Census tracts (clipped to the city boundaries when I can find them) to Google Maps. I use Google Earth when the files exceed the 5MB limit on Google Maps. Then, I go through the tracts one by one and in a spreadsheet I record which city council district(s) they are in.
As you can guess, it takes an excruciatingly long time to do this manually. I was wondering if there was a way to run some sort of script that could do this automatically, recording the percent of the area of each Census tract contained within each district.
And if there is anything else that could make this task any easier, please let me know!
Thanks
أكثر...
I am currently working on a project where I am using Census tract data to figure out the population characteristics of the city council districts of several major US cities. For the cities that I have completed so far, I have been simply uploading the KML files for both the city council districts and the corresponding Census tracts (clipped to the city boundaries when I can find them) to Google Maps. I use Google Earth when the files exceed the 5MB limit on Google Maps. Then, I go through the tracts one by one and in a spreadsheet I record which city council district(s) they are in.
As you can guess, it takes an excruciatingly long time to do this manually. I was wondering if there was a way to run some sort of script that could do this automatically, recording the percent of the area of each Census tract contained within each district.
And if there is anything else that could make this task any easier, please let me know!
Thanks
أكثر...