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The Algorithms for Quantitative Pedology (AQP) project was started in2009 to organize a loosely-related set of concepts and source code onthe topic of soil profile visualization, aggregation, and classificationinto this package (aqp). Over the past 8 years, the project has growninto a suite of related R packages that enhance and simplify thequantitative analysis of soil profile data. Central to the AQP projectis a new vocabulary of specialized functions and data structures thatcan accommodate the inherent complexity of soil profile information;freeing the scientist to focus on ideas rather than boilerplate dataprocessing tasks doi:10.1016/j.cageo.2012.10.020. These functions anddata structures have been extensively tested and documented, applied toprojects involving hundreds of thousands of soil profiles, and deeplyintegrated into widely used tools such as SoilWebhttps://casoilresource.lawr.ucdavis.edu/soilweb-apps. Components ofthe AQP project (aqp, soilDB, sharpshootR, soilReports packages) servean important role in routine data analysis within the USDA-NRCS SoilScience Division. The AQP suite of R packages offer a convenientplatform for bridging the gap between pedometric theory and practice.

Get the stable version from CRAN:

install.packages('aqp',dep=TRUE)

Get the development version from Github, after installing the CRANversion + dependencies:

remotes::install_github("ncss-tech/aqp",dependencies=FALSE,upgrade=FALSE,build=FALSE)

Install suggested packages:

p<- c("colorspace","ape","soilDB","latticeExtra","tactile","compositions","sharpshootR","markovchain","xtable","testthat","Gmedian","farver","Hmisc","tibble","RColorBrewer","scales","digest","mpspline2","soiltexture","knitr","rmarkdown","mvtnorm")install.packages(p)

http://ncss-tech.github.io/AQP/

library(aqp)# example data from three official series descriptionsdata("osd")# simulate 2 copies of each# using horizon boundary distinctness offsetsset.seed(10101)x<- perturb(osd,n=2,boundary.attr='hzd',min.thickness=5)# tighter marginspar(mar= c(0,0,1,0))# adjust default style# depict truncation at 175cm with ragged bottomplotSPC(x,name.style='center-center',cex.names=1,width=0.33,cex.id=0.9,hz.distinctness.offset='hzd',max.depth=175,depth.axis=FALSE,hz.depths=TRUE)

citation("aqp")#> To cite aqp in publications use:#>#>   Beaudette, D., Roudier, P., Brown, A. (2023). aqp: Algorithms for#>   Quantitative Pedology. R package version 2.0.#>   <https://CRAN.R-project.org/package=aqp>#>#>   Beaudette, D.E., Roudier, P., O'Geen, A.T. Algorithms for#>   quantitative pedology: A toolkit for soil scientists, Computers &#>   Geosciences, Volume 52, March 2013, Pages 258-268, ISSN 0098-3004,#>   http://dx.doi.org/10.1016/j.cageo.2012.10.020.#>#> To see these entries in BibTeX format, use 'print(<citation>,#> bibtex=TRUE)', 'toBibtex(.)', or set#> 'options(citation.bibtex.max=999)'.

• Beaudette D.E., P. Roudier, and J. Skovlin. 2016. Probabilisticrepresentation of genetic soil horizons. In Book Digital soilmorphometrics. Springer.
• Maynard, J.J., S.W. Salley, D.E. Beaudette, and J.E. Herrick. 2020.Numerical soil classification supports soil identification by citizenscientists using limited, simple soil observations. Soil ScienceSociety of America Journal 84:1675-1692.
• Beaudette, D. E., J. Skovlin, A. G. Brown, P. Roudier, and S. M.Roecker. “Algorithms for Quantitative Pedology.” In Geopedology,edited by Joseph Alfred Zinck, Graciela Metternicht, Héctor Franciscodel Valle, and Marcos Angelini, 201–22. Cham: Springer InternationalPublishing, 2023.https://doi.org/10.1007/978-3-031-20667-2_11.

• soilDB
• sharpshootR

• Introduction to SoilProfileCollectionObjects
• Numerical Classification of SoilProfiles
• OverlappingAnnotation
• What is new in aqp2.x?

• Soil ProfileSketches
• Assigning Generalized HorizonLabels
• Visualization of HorizonBoundaries
• Mixing Munsell Colors in{aqp}
• Theoretical Water RetentionCurves
• Soil Texture VisualizationIdeas

• Numerical Classification of Soil Profiles (2023 NCSSMeetings)

• https://www.pnas.org/content/115/26/6751
• as found byScopus
• as found by GoogleScholar
• http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100121