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).

The AQP suite of R packages are used to generate figures for SoilWeb, Series Extent Explorer, and Soil Data Explorer. Soil data presented were derived from the 100+ year efforts of the National Cooperative Soil Survey, c/o USDA-NRCS.

R Packages


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


Sample Figures