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
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	Caumon & Levy	Is geology Cartesian?
7	Jesper Dramsch	General purpose GPU programming
8	Chris Ennen	Software, software everywhere
9	Sergey Fomel	Reproducible research
10	GRAM	Seismic data encryption
11	Gosses	Standing on the shoulders...
12	Dave Hale	My favourite 10 line program
13	Matt Hall	What's so special about geoscience?
14	Eirik Larsen	Crossplots on the boardroom table
15	John Leeman	Hardware is hard: teaching geotech
16	Neil McNaughton	'Digitalization,' from Harry Nyquist...
17	Bill Menger	The steady advance of Linux
18	Bill Menger	Software challenges in oil & gas
19	Matteo Niccoli	A fault colourmap prototype
20	Jan Niederau	Teaching geoscience students to code
21	Didi Ooi	Simple machine learning
22	Steve Purves	Learn JavaScript!
23	Michael Pyrcz	Open source geostatistical geomodeling
24	Michael Pyrcz	Machine learning for geological modeling
25	Alan Richardson	Use standard file & problem formats
26	Alberto Rusic	I hate computers 1
27	Alberto Rusic	I hate computers 2
28	Hassan Sabirin	Quality checking spatial data
29	James Selvage	Serverless computing
30	Andrew D. Steen	Teaching geoscientists to code
31	Martin Storey	De profundis: of well depth
32	John Thurmond	The tyranny of formats
33	Miguel de la Varga & Alexander Schaaf	GemPy: 3D Structural Geomodeling in Python
34	Florian Wellmann	A Geological Model is a Hypothesis
35	Adam Cawood et al.	Why use virtual outcrop?
36	Dewey Dunnington	R, RStudio, and the tidyverse for Geocomputing
37	Andrew Pethick	The obsolete geoscientist
38	Matt Hall	What is geocomputing? (Blog post)
39	Matteo Niccoli	Keep on improving your geocomputing projects
40	Jesse Pisel	Arm-wavers Anonymous
41	Robert Leckenby	My name is bot, geobot
42	Dewey Dunnington	Grammar of graphics
43	Matteo Niccoli	Some advice on reproducing figures
44	George Bisbas	A 5-minute introduction to HPC
45	Evan Saltman	Speeding things up
46	Darren Kondrat	Getting started in Geocomputing can seem daunting...
47	Ágoston Sasvári	The Phoenix
48	John Howell & Brian Burnham	The Virtual Geoscience Revolution Pt. 1
49	John Howell & Brian Burnham	The Virtual Geoscience Revolution Pt. 2
50	Tyler Newton	Human neural networks in geocomputing
51	Rowan Cockett	Building Technical Communication Tools
52	Steve Rogers	Advice from a fractured reservoir modeler
53	Chris Dinneen	SEGY: Judging books by their covers

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? vim?).
Only a quantum computer can do geology.
Geocomputing at enterprise scale.
Open sourcing a corporate software project.
Data standards, lol.
Geocomputing in the years 2010, 2020, 2030, and 2040.
Who are/were the pioneers of digital science?
(How) can machines learn physical (or conceptual?) models?
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 math concepts for digital geoscientists: probability, linear algebra, machine learning, graph theory, set theory
5 libraries for geophysicists: obspy, madagascar, simpeg, vispy, etc.
5 libraries for geologists: pynoddy, qgis, pygmt, pandas/welly/striplog, etc.
Is the subsurface a Graph? (ask the author of noddy/pynoddy)
5 libraries for geobiologists: dplyr, magrittr (maybe), tidyr, vegan, ggplot2
Innovative geo-solutions: Your organization fears change, so now what?

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
Evan Bianco	The art of visualization
Paige Bailey	Machine learning opportunities in the geosciences
Brian Burnham	A history of virtual outcrops
Matt Hall	Upgrade your human technology
Matt Hall	Learn some one-liners
Lindsey Heagy	Sprint and refactor
Steve Purves	Not the floating point
Tom Creech	The analog(ue) scientist's best frenemy
Tom Creech + any takers?	Geocomputing at enterprise scale

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