J

Jer Thorp

blog.blprnt.com · Personal blog · on HN since 2009

Jer Thorp, a data artist, writes about data visualization projects, Processing code, and work like the 9/11 memorial name layout.

What HN saysHN commenters link it for his projects, such as the 9/11 memorial names algorithm and the Kepler visualization, and call it interesting.
15HN people shared it
5linked it in comments
11stories submitted
70story points
10 years agolast shared
2009people per year2026

Most-shared posts

  1. 1
  2. 2
    Behind the 9/11 memorial names
    3 people · 9 points · first shared 2011 · discussion on HN
  3. 3
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  5. 5
    Avengers, Assembled (and Visualized)
    1 people · 2 points · first shared 2012 · discussion on HN
  6. 6
  7. 7
    138 Years of Popular Science Visualized
    1 people · 1 points · first shared 2012 · discussion on HN
  8. 8
    Introducing the Office for Creative Research
    1 people · 1 points · first shared 2013 · discussion on HN
  9. 9
    Workshops
    1 people · 1 points · first shared 2012 · discussion on HN
  10. 10
    Project smart rockets
    1 people · first shared 2010
  11. 11
    Homepage
    1 people · first shared 2011
  12. 12
    7 days of source day 5 smart rockets
    1 people · first shared 2010
  13. 13

What HN people wrote when they linked it

blatherard · 2011-06-25
Jer Thorp is the guy who built the visualization tool. He also designed a tool to help layout the names on the 9/11 memorial. He's got other interesting stuff at his blog, http://blog.blprnt.com/
tensafefrogs · 2016-05-30
Here's a different version with source code, not sure if it's the same planets: http://blog.blprnt.com/blog/blprnt/data-in-an-alien-context-kepler-vis…
maxhawkins · 2011-09-08
The artist, Jer Thorp, has a blog post describing the algorithm. He started with a clustering algorithm then wrote a tool in Processing to review the adjacencies by hand. http://blog.blprnt.com/blog/blprnt/all-the-names
revorad · 2010-04-14
I would highly recommend learning R (http://www.r-project.org/). It is very easy to directly query databases and R has many visualisation packages, including the awesome ggplot2 (http://had.co.nz/ggplot2/) based on the grammar of graphics. I'm writing an R graphs cookbook and my startup's visualisation product is also built on R (see profile and feel free to email me if you need any help). Also, look at Ben Fry's Processing books (http://benfry.com/). Here's an introductory tutorial - http://blog.blprnt.com/blog/blprnt/your-random-numbers-getting-started… If you're familiar with Python, check out Matplotlib (https://www.packtpub.com/matplotlib-python-development/book).

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