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A collection of 5 posts

Making Population Density Maps with Rayrender in R

How-To Featured

Making Population Density Maps with Rayrender in R

On Mastodon recently, I came across some really cool work from @terence@fosstodon.org which used Rayshader in R to create a great population density map of Canada. terence (@terence@fosstodon.org)Attached: 1 image Today’s population density map is Canada. #rayshader adventures, an #rstats taleFosstodon The reason I

Why Street Patterns can Make or Break Buses

Transit Featured

Why Street Patterns can Make or Break Buses

For a couple years in high school I took the DC Metro to the bus to get home. While I often exaggerate the numbers when talking about my commute, even today Citymapper says it would take at least an hour to get home. Because of bus bunching [https://en.wikipedia.

Using pgRouting to Calculate Transit Catchment Areas

How-To Featured

Using pgRouting to Calculate Transit Catchment Areas

In order to show the effects of a grid vs loop and lollipop road network, I downloaded the GTFS [https://en.wikipedia.org/wiki/General_Transit_Feed_Specification] files for Ride On [https://www.montgomerycountymd.gov/dot-transit/] bus here [https://transitfeeds.com/p/montgomery-county-department-of-transportation/235]. These are simply txt files,

Access to Banking Services in Washington D.C.

Research Featured

Access to Banking Services in Washington D.C.

As I spoke about a little bit in a previous post [https://justjensen.co/development-economics-and-the-united-states-partp-i-savings-theory/] , inadequate access to savings tools is a classic example of a poverty trap. Without basic banking services, smoothing consumption levels and preparing for emergencies is far more difficult. Income levels differ drastically across Washington D.

Mapping the IP Addresses in the GRIZZLY STEPPE Report

Mapping the IP Addresses in the GRIZZLY STEPPE Report

The Department of Homeland Security (DHS) and the Office of the director of National Intelligence (DNI) issues a Joint Analysis Report (JAR) called GRIZZLY STEPPE [https://www.us-cert.gov/security-publications/GRIZZLY-STEPPE-Russian-Malicious-Cyber-Activity] . The analysis attributes the security compromises during the 2016 election to Russian actors who used Russian civilian and military