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Welcome to Algorithms for Quantitative Pedology project!

A collection of algorithms related to the modeling of soil resources, soil classification, soil profile aggregation, and visualization.

You can find the project summary page here.

You can find extended examples + discussion here.

Technical details here.

Vignettes:

  1. SoilProfileCollection object introduction
  2. dealing with bad data
  3. aggregate properties by bedrock kind
  4. soil profile dissimilarity
  5. vertical vs. perpendicular horizon measurements
  6. getting soils data from USDA-NCSS databases
  7. getting/comparing KSSL data
  8. getting, plotting, saving detailed soil series extent data (US-only)
  9. gridded SSURRGO (gSSURGO) and SDA

Manual Pages c/o knitr:

  1. aqp manual pages with figures
  2. soilDB manual pages with figures
  3. sharpshootR manual pages with figures

Soils are routinely sampled and characterized according to genetic horizons, resulting in data that are associated with principle dimensions: location (x,y), depth (z), and property space (p). The high dimensionality and grouped nature of this type of data can complicate standard analysis, summarization, and visualization. The aqp (algorithms for quantitative pedology) package was designed to support data-driven approaches to common soils-related tasks such as visualization, aggregation, and classification of soil profile collections. In addition, we sought to advance the study of numerical soil classification by building on previously published methods within an extensible and open source framework. Functions in the aqp package have been successfully applied to studies involving several thousand soil profiles. The stable version of the aqp package is hosted by CRAN (http://cran.r-project.org/web/packages/aqp), and the development version is hosted by R-Forge (http://aqp.r-forge.r-project.org).