CODEWITHSUNDEEP
pythonrgeospatialdistance
pkpto39
pkpto39

Reputation: 545

Calculate Density based on Lat/Lon

I'm very sorry to say that I do not have any sample code for this question. The reason being, I've been looking for a way to do this and I've got no ideas. I'm not looking for specific code help, more like some general guidance on where to start.

I have lat/lon for people living around California. Based on the geographic groupings of this data (county, city, zip, etc) I'm supposed to figure out a density score. Basically, how many points per square mile, or something along those lines. I have been looking for ways to do this, and unfortunately I haven't found anything that seems right. I have lat/lon/geographic boundary columns in my data, so I can group by the various geographic types, but I'd like to rely on the lat/lon for the density scoring.

Again, I'm sorry that I don't have any specific code to share. Any suggestions on packages or tools for this problem would be greatly appreciated!

I'm comfortable with both R and Python, but my colleagues would prefer python driven solutions.

Below is some sample data using zip codes and lon/lat (in this order).

Zip Longitude   Latitude
95223   -120.045063 38.467308
95223   -120.040889 38.465436
95223   -120.072499 38.454202
95223   -120.049251 38.462058
95223   -120.041697 38.462194
95223   -120.045757 38.470637
96120   -119.959615 38.703965
96120   -119.937276 38.741337
96120   -119.9382   38.739344
96120   -119.901794 38.776584
96120   -119.936094 38.741865
96120   -119.957587 38.707533
96120   -119.93456  38.74194
95646   -120.072087 38.687061
95646   -120.066752 38.684097
95646   -120.069591 38.684193
95646   -120.071754 38.699738
95646   -120.066111 38.685164
95646   -120.067082 38.683881
95646   -120.070923 38.696049
95646   -120.068004 38.683615
95646   -120.07161  38.699309
95646   -120.07385  38.690719
95646   -120.066131 38.685019
95646   -120.071263 38.686228

Upvotes: 2

Views: 1432

Answers (1)

WickedMongoose
WickedMongoose

Reputation: 101

From the Pyviz Examples page for census mapping here: Example code for mapping population density: https://examples.pyviz.org/census/census.html

Creating your boundaries: The answer to this question covers this quite well, giving a list of boundary detection algorithms: https://gis.stackexchange.com/questions/5426/finding-boundary-co-ordinates-from-given-set-of-point-co-ordinates

Finding the area of your polygon(AreaOfZipcode): How to calculate the area of a polygon on the earth's surface using python?

Calculate Zipcode Populations with an accumulator algorithm.

Then: PopDensity = PopOfZipcode/AreaOfZipcode

Define your high density/mid-density/low-density boundaries and then assign your zipcodes to each bucket.

Upvotes: 2

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