The project aims to build a tool for running data-grounded examinations for generating and verifying hypotheses one may have concerning a city.

The tool borrows from a well-known GIS data analytics model called Geographically Weighted Regression. It is just a slight modification of the linear regression model that considers spatially varying relationships. In general, regression analysis is useful to inspect how a variable is relevant to fitting the data to the dependent variable.

PaperUsing CLIFF, we can map news articles to corresponding census tracts to see how well a region is covered based on the crime terms mentioned. This can be potential extension to visualize analyze the relevance of a candidate attribute and corresponding news coverage volume (or lack of it).