Welcome to Algorithms for Quantitative Pedology project!

Algorithms for Quantitative Pedology (AQP) is a collection of code, ideas, documentation, and examples wrapped-up into several R packages. The theory behind much of the code can be found in this Computers & Geosciences paper. AQP is very much a work in progress! If you are interested in contributing code, documentation, bug reports, or even scathing criticism, feel free to contact Dylan at dylan [dot] beaudette [at] usda [dot] gov. AQP is a collaborative effort, funded in part by the Kearney Foundation of Soil Science (2009-2011) and USDA-NRCS (2011-current).

R Packages

• aqp [development] [stable] [manual]
• soilDB [development] [stable][manual]
• sharpshootR [development] [stable] [manual]

Presentations

1. 2023 NCSS - Numerical Comparison of Soil Profiles (poster)
2. 2019 NCSS - Soil Series as a Central Pedological Concept (revised since 2014)
3. 2019 SSSA: The Geography of Soil Color
4. 2019 SSSA: Mapping Soilscapes Using Soil Co-Occurrence Networks
5. 2017 CZO Workshop: USDA-NRCS Data Sources / AQP Suite of R Packages
6. 2017 Pedometrics: Component Adjacency / Network Talk
7. 2017 Pedometrics: AQP Montage
8. 2015 Digital Soil Morphometrics - Aggregate representation of genetic soil horizons via proportional-odds logistic regression
9. 2015 Digital Soil Morphometrics - Algorithms for Quantitative Pedology: a toolkit for digital soil morphometrics
10. 2014 SSSA - Soil Series As a Central Pedological Concept
11. Soil Data Aggregation
12. AQP, DSM, and ESD
13. Numerical Classification with AQP
14. AQP and SoilDB Demo
15. 2011 UseR AQP Talk
16. 2011 Pedometrics

Tutorials

• New / experimental
  • Component Relation Graphs
  • Horizon Transition Probabilities
  • Soil Color Transition Probabilities
  • Soil Color Signatures
  • Mixing soil colors
  • Soil color tiles
• SoilProfileCollection creation, manipulation, and visualization
  • SoilProfileCollection object introduction
  • Visualization of Horizon Boundaries
  • making figures with SoilProfileCollection objects
  • dealing with bad data
  • Plotting multiple SPC objects with a merged color legend
  • vertical vs. perpendicular horizon measurements
  • OSD Dendrogram
• SoilProfileCollection function-specific demonstrations
  • Loafercreek profileApply() demo -- investigating metavolcanic soils of the Sierra Nevada Foothills
  • Glacierpoint glom() demo -- finding sandy "cambic" horizons
  • Mineralking estimatePSCS() demo -- validating 12th Ed. US Soil Taxonomy particle size control section
• Generalized dissimilarity calculation for SoilProfileCollection objects
  • Pair-Wise Distances by Generalized Horizon Labels
  • An introduction to profile_compare()
  • dissimilarity computed from mixed variable types
• Soil climate related
  • Querying the Henry Mount Soil Climate database
  • A unified interface to SCAN/SNOTEL data
  • Soil temperature regime (STR) estimation / evaluation
  • Estimation of frost-free days
  • Above and below ground data from CDEC
  • California Snow Survey Data Analysis via CDEC
• Water retention / soil hydrology
  • ROSETTA API
  • Experiments with water retention curves
  • Water retention curves from KSSL data
  • Monthly water balance simulation
• USDA-NRCS data and related
  • A WCS interface to gNATSGO and gSSURGO
  • getting/comparing KSSL data
  • soil series data summaries
  • synthesis of soils data by subgroup
  • getting soils data from USDA-NCSS databases
  • setup NASIS local database connection
  • Querying the Soil Data Access (SDA) web service
  • SDA: queries that return spatial data
  • Component interpretation comparison via SDA
  • summary of pedon diagnostic features
  • Loading NASIS pedon data
  • Loading NASIS component data
  • Export NASIS pedon data to SHP file
  • Export NASIS pedon data to Google Earth
• Aggregation / summary of pedon data
  • Assignment of generalized horizon labels
  • Computing range in characteristics by generalized horizon label
  • Soil color aggregation ideas
  • aggregate properties by taxon name
  • aggregate properties by bedrock kind
  • aggregate representation of soil texture class
  • Estimation of most-likely horizonation
• Aggregation / summary of spatial data
  • Sampling Raster Data Sources
  • map unit spatial adjacency analysis
  • getting, plotting, saving detailed soil series extent data (US-only)
• Sample reports
  • Dunstone Pedon Summary
  • Loafercreek Pedon Summary
  • Amador Pedon Summary

Sample Figures