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.
| 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 | 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 | Geological modeling 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 | Getting started in HPC in 3 easy steps | |
| 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 |
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?
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 |