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52things

52 Things You Should Know About Geocomputing

This is a second attempt at collecting 52 essays about geocomputing. Here's the original call for papers, from a little over 2 years ago. This time we can do it!

Authors, please see Submitting an essay.

Reviewers, please see Reviewing submissions.

Submissions for review

Thing Author Working title Reviewed by
1 Martin Bentley In praise of small tools
2 Martin Bentley Best Practices are not the best...
3 Austin Bingham Domain-driven design in geocomputing
4 Ben Bougher Am = d: a linear algebra approach...
5 Bert Bril Putting colours on data
6 Jesper Dramsch General purpose GPU programming
7 Chris Ennen Software, software everywhere
8 Sergey Fomel Reproducible research
9 GRAM Seismic data encryption
10 Dave Hale My favourite 10 line program
11 John Leeman Hardware is hard: teaching geotech
12 Bill Menger The steady advance of Linux
13 Bill Menger Software challenges in oil & gas
14 Matteo Niccoli A fault colourmap prototype
15 Steve Purves Learn JavaScript!
16 Alan Richardson Use standard file & problem formats
17 Alberto Rusic I hate computers 1
18 Alberto Rusic I hate computers 2
19 Hassan Sabirin Quality checking spatial data
20 James Selvage Serverless computing
21 Andrew D. Steen Teaching geoscientists to code
22 Martin Storey De profundis: of well depth
23 John Thurmond The tyranny of formats
24 Florian Wellmann A Geological Model is a Hypothesis

Wish list

If you have a topic you wish someone would write about, please add it here:

  • Three ways to get started in geocomputing.
  • Drop everything and learn X (Julia? Clojure?).
  • Getting started in HPC in 3 easy steps.
  • Only a quantum computer can do geology.
  • Geocomputing at enterprise scale.
  • Open sourcing a corporate software project.
  • Data standards, lol.
  • Geocomputing in the year 2028.
  • Teaching geoscientists to code: Everything Drew Steen said is wrong
  • Thank you for the state-of-the-art processing, I will now proceed to interpret it incorrectly.
  • Units -sigh- let's start using pint (like metpy), astropy, or something.
  • How tech ubiquity is changing geoscientific observation.
  • 5 libraries for geophysicists: obspy, madagascar, simpeg, vispy, etc.
  • 5 libraries for geologists: pynoddy, qgis, pygmt, pandas/welly/striplog, etc.
  • 5 libraries for geobiologists: dplyr, magrittr (maybe), tidyr, vegan, ggplot2

Promises, promises

If you want to tell others what you're writing on, or find a co-author!, please add your topic here:

Author Topic or working title
Matt Hall Hackathons and similar events
Matt Hall What's so special about geoscience?
Evan Bianco Something something
Justin Gosses Standing on the shoulders of the guy in the UK office
Paige Bailey Machine learning opportunities in the geosciences

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