2 posts tagged with "places"

As communities continue to rebuild and recover from the devastation caused by natural disasters such as wildfires, the question remains: How can we quantify what was lost, especially in the built environment? With the ability to analyze detailed building footprints and overlay fire boundaries, we can begin to answer this by providing a rough estimate of the damage and identifying which structures were impacted by the flames.

In this blog post, Chris Amico shows how by leveraging data such as Overture Building footprints and fire progression maps, we can gain insight into the extent of fire risk. This enables news agencies to derive insights such as count of shops or homes exposed or even assess the capacity of highway routes for residents to evacuate before a prospect fire reaches them.

TL;DR Maribel Hernandez shows how to create clusters of business categories using Overture Places data.

Maribel Hernandez is a computer scientist and researcher at CINVESTAV, a multidisciplinary academic institution in Mexico. She specializes in graph theory in the field of computational genomics and complex networks. In this blog post, Maribel shows how she characterizes cities based on the distribution of businesses by rolling-up business categories by H3.

As someone who works with urban networks, Maribel's focus is on exploring how cities function and how their design impacts inclusivity. The core question driving this analysis is: Does the city have an even distribution of business services? Or are there shortages such as food deserts or unequal access to health facilities?