bdon

18 ms·

1. 151.▲
   NSSM – The Non-Sucking Service Manager(nssm.cc)

   1 points by bdon 11y ago|0 comments
2. 152.▲
   by bdon 11y ago

   Can anyone with this machine comment on their experience charging it with a standard smartphone/tablet battery pack through USB-C? If this actually works, it's a pretty killer feature over the MBA/Pro.
3. 153.▲
   CartoDB, Interactive Mapping Startup, Raises $7M(bits.blogs.nytimes.com)

   3 points by bdon 12y ago|0 comments
4. 154.▲
   by bdon 12y ago

   This bothers me as well- I'm trying to figure out a consistent way to determine which direction is "Inbound" and which is Outbound - turns out this is quite difficult! In the case of the N, the 4th and King terminus is closer
5. 155.▲
   by bdon 12y ago

   Yes, it's likely vehicles that change their assigned route or are moving between depots.
6. 156.▲
   Show HN: San Francisco MUNI Transit Delays, Visualized(bdon.org)

   86 points by bdon 12y ago|32 comments
7. 157.▲
   by bdon 12y ago

   https://twitter.com/flavmartins/status/493102588410494976
8. 158.▲
   by bdon 12y ago

   Depending on the resolution you need, the OpenStreetMap derived world coastline may work better: http://openstreetmapdata.com/data/land-polygons
9. 159.▲
   by bdon 13y ago

   > the heat maps we show to our drivers to show them where to position themselves in the city how does this not benefit the passenger?
10. 160.▲
    by bdon 13y ago

    I find this perspective odd because as a self taught programmer I didn't bother learning or trying to learn any of the formalisms you mention like 'variables, strings, and symbols'. I learned by having a concrete project goal
11. 161.▲
    by bdon 13y ago

    Nice! What data source are you guys using for song years?
12. 162.▲
    by bdon 13y ago

    Thanks for finding that out! I wouldn't have guessed.
13. 163.▲
    by bdon 13y ago

    That's concerning, the only two buildings I see in PLUTO built before 1700 are in Queens and Staten Island.
14. 164.▲
    by bdon 13y ago

    I believe the way PLUTO is organized is with 1) a value for when the building was first built, and 2) up to two most recent dates of building modification. The building modification data is itself worth exploring in some way, if anyone want
15. 165.▲
    by bdon 13y ago

    You're right, there's something else called MapPLUTO: http://www.nyc.gov/html/dcp/html/bytes/applbyte.shtml that seems to include building footprints. My bet is they're from the same sourc
16. 166.▲
    by bdon 13y ago

    This is done with two different datasets, PLUTO and the building footprint dataset on https://nycopendata.socrata.com/ .
17. 167.▲
    by bdon 13y ago

    Reminder to self, triple-check your CDN is actually caching the things that matter!
18. 168.▲
    by bdon 13y ago

    Yeah, my server is a bit overloaded. Working on that now.
19. 169.▲
    Show HN: 1,053,713 buildings in New York City, shaded by year of construction(bdon.org)

    96 points by bdon 13y ago|34 comments
20. 170.▲
    by bdon 13y ago

    Indeed, it looks like Yahoo! uses Nokia "here" maps as a data source. CartoDB is not a map provider, it's a web-based GIS suite that lets you import different base layers.
21. 171.▲
    by bdon 13y ago

    The map in question looks like it's actually from Yahoo! Maps: http://maps.yahoo.com/
22. 172.▲
    by bdon 13y ago

    I haven't seen that one before, neat! The one featured in the first Tufte book is E.J. Marey's schedule: http://mbostock.github.io/protovis/ex/marey-train-schedule.j... (as linked from http://
23. 173.▲
    by bdon 13y ago

    Haha, point taken. I should really disable that on all sub-pages...
24. 174.▲
    by bdon 13y ago

    The direction (inbound/outbound) comes from NextBus data and is frequently erroneous, so in that case a train traveling outbound is shown with the inbound vehicles. The position above the last stop is because MUNI vehicles have signifi
25. 175.▲
    Show HN: Visualizing transit delays in real time for SF MUNI(bdon.org)

    58 points by bdon 13y ago|11 comments
26. 176.▲
    by bdon 13y ago

    Interesting. I suspect elevation is highly correlated with land value, so perhaps that is the hidden factor here? I'd like to see this applied to other hilly cities. Great work!
27. 177.▲
    America's Orchestras are in Crisis(newrepublic.com)

    2 points by bdon 13y ago|0 comments
28. 178.▲
    by bdon 13y ago

    Here is one for Brooklyn: http://bklynr.com/block-by-block-brooklyns-past-and-present/ I published some instructions on how to generate such a map using the recently released PLUTO data: http://bdon.org&#x2F
29. 179.▲
    Worrisome Trends in Architecture Education(ieatbugsforbreakfast.wordpress.com)

    2 points by bdon 13y ago|0 comments
30. 180.▲
    The Heroku Security Researcher Hall of Fame(blog.heroku.com)

    3 points by bdon 13y ago|0 comments