leguark/52things

52 Things You Should Know About Geocomputing

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