Showing posts with label Geo. Show all posts
Showing posts with label Geo. Show all posts

Urban data mining with census.gov

A little presentation of how to pull interesting urban data from census.gov and do some neat urban informatics.
Keywords: Geoda, maptools in R, Tiger DB,

Urban data mining + census.gov

A little presentation of how to pull interesting urban data from census.gov and do some neat urban informatics.
Keywords: Geoda, maptools in R, Tiger DB,

On interesting 'Urban' datasets

Real world AEV (Ave Emergency Visits) data from CA and other interesting rich urban data sets.
Does regression reveal anything interesting?

p-values, hypothesis testing and Ising model detection, Real world county datasets

A lot of researchers seem to be using Ising priors on the context they they help achieve better error rates and hence must be informative.
Can the p-value approach be better? Yes: But requires partition function calculation or atleast tight upper bounds. TRBP looks like it will get the job done. Well, at least in most cases.

Here is a compilation of all county-datasets in US.