🛠 What does an end-to-end open-source stack look like for an independent hydrogeochemical monograph?
Doing full-cycle research—from thermodynamic calculations to print-ready LaTeX typesetting—requires a synchronized toolkit. Here is the exact stack:
🧪 Thermodynamics & Analytics:
• #PHREEQC 3.7.3 for aqueous speciation&equilibrium modeling.
• #Rstats Stack: RedModRphree, ggtern, sf/terra, tidyverse (ETL).
🗺 GIS & Literature Search:
• #QGIS for spatial alignment & cartography.
• #Recoll for local full-text search across reference databases.
📚 Typesetting & Reproducibility:
• #LaTeX2e + #TeXStudio + #JabRef for typography & #BibTeX references.
• xtable for automated R-to-LaTeX data exporting.
• #Debian Linux as a main engine.
💡 Takeaway: Zero proprietary software licenses needed. Complete reproducibility from raw analytical data to a print-ready PDF.
🔗 The published version of monoghraph is here:
https://zenodo.org/records/20709306
#Hydrogeology #Geochemistry #LaTeX #GIS #OpenScience #DataScience #SvystunovaGully
About This Hashtag
#geochemistry
3 posts
Last used Aug 02
#geochemistry
3 posts· Last used Aug 02
🌎 Why 1960s Geoscience Classics Still Matter in Data Science
Data without domain expertise is noise. It’s easy to get caught up in R or ML, but foundational science drives true insight.
I'm revisiting N.M. Strakhov's masterpiece "Principles of Lithogenesis" (1960-62, translated 1967). Springer’s 2014 digital reprint (Google Books) proves its value. Over 60 years later, his systematic approach to sedimentary environments and geochemistry remains highly relevant.
❓ Why this matters for spatial analytics:
🔹 Ground-Truthing: You can't model watershed contamination, mine waters, or deposits via desktop sowtware alone if you ignore baseline lithological and geochemical laws.
🔹 Feature Engineering: The best domain features come from understanding physical processes—like how basins and geochemical barriers function.
❗ Tools change, but physical laws are timeless. Understanding both turns raw data into actionable insights.
#Geology #Geochemistry #DataScience #SpatialAnalysis #Springer #GoogleBooks #Lithogenesis
#WeekendReading: Remírez et al., about a boron-based salinity proxy for normal marine conditions! I'm going for cautiously optimistic.
Link: https://www.sciencedirect.com/science/article/pii/S0009254126003505
#Boron #Paleosalinity #Proxy #Geochemistry
You've seen all posts