stuarto
Joined 10 years ago
Karma
72
Submissions
8
Member since
Oct 27
Recent submissions
Comment · 2 years ago
course repo with code and assignments is at: https://github.com/sourcery-ai-bot/MIT_OpenCourseWare-Perfor...
Comment · 9 years ago
My read is that they aren't (yet) proposing defunding the data, "just the maps" e.g. visualizations that make it accessible. Nothing (yet) stopping a public-interest project from hosting the same information on an open platform.
Comment · 9 years ago
The language in Sec 3 is specifically "database of geospatial information on community racial disparities or disparities in access to affordable housing". It is true that disparities may arise from either discrimination or other sources.
Comment · 9 years ago
Thanks for the guidance, I changed the title to comply. I'm looking forward to a bill that would dismantle support for federally maintaining climate data visualizations -- likely to be titled the "Climate Monitoring Protection Act of 2017" ;)
Comment · 9 years ago
https://www.hudexchange.info/resource/4868/affh-raw-data/
A lot of it is just plain census data, with some additional housing details filled in! Adding maps makes it more accessible :)
Comment · 9 years ago
House and Senate bills (H.R.482 and S.103) have been introduced to ban further federal funding or use of Geographic Information Systems (GIS) that disseminate data on racial discrimination in housing and other community issues.
The government created visualization site https://egis.hud.gov/affht/# specifically would be banned for further support, maintenance or use by members of the federal government.
Fortunately the raw data is still available for download.
To me, government-ordered public-interest website teardowns sound a lot like a 21st century version of book-burning.
Bill sponsors include Marco Rubio and Mike Lee in the Senate
Geographic scientists have taken notice http://news.aag.org/2017/01/creating-and-preserving-actionab...
Comment · 9 years ago
Scala -- great online learning resources (Coursera series), good integration with Eclipse, unique and convenient "worksheet" interface and repl, and significant benefits when working developing big data applications with Spark.