aqp - Algorithms for Quantitative Pedology

The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the AQP project (aqp, soilDB, sharpshootR, soilReports packages) serve an important role in routine data analysis within the USDA-NRCS Soil Science Division. The AQP suite of R packages offer a convenient platform for bridging the gap between pedometric theory and practice.

Last updated 21 days ago

digital-soil-mappingncss-technrcspedologypedometricssoilsoil-surveyusda

11.77 score 55 stars 2 dependents 1.2k scripts 2.3k downloads

soilDB - Soil Database Interface

A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.

Last updated 2 days ago

ksslnasisnrcssoilsoil-data-accesssoil-surveysoilwebsqlusda

11.34 score 87 stars 1 dependents 1.0k scripts 2.5k downloads

sharpshootR - A Soil Survey Toolkit

A collection of data processing, visualization, and export functions to support soil survey operations. Many of the functions build on the `SoilProfileCollection` S4 class provided by the aqp package, extending baseline visualization to more elaborate depictions in the context of spatial and taxonomic data. While this package is primarily developed by and for the USDA-NRCS, in support of the National Cooperative Soil Survey, the authors strive for generalization sufficient to support any soil survey operation. Many of the included functions are used by the SoilWeb suite of websites and movile applications. These functions are provided here, with additional documentation, to enable others to replicate high quality versions of these figures for their own purposes.

Last updated 5 days ago

8.37 score 18 stars 327 scripts 574 downloads

soilReports - R Markdown Reports and Convenience Functions for Soil Survey

R package container and convenience functions for soil data summary, comparison, and evaluation reports used mainly by NRCS staff.

Last updated 2 days ago

nasisnrcssoilsoil-surveyusda

5.04 score 15 stars 41 scripts

jNSMR - Interface to the 'Java Newhall Simulation Model' (jNSM) "A Traditional Soil Climate Simulation Model"

Provides methods to create input, read output, and run the routines from the legacy Java Newhall Simulation Model (jNSM) for soil climate. Currently this package uses a modified version of the jNSM v1.6.1 which is available for download here: <https://www.nrcs.usda.gov/wps/portal/nrcs/detail/?cid=nrcs142p2_053559> and the source code found here <https://github.com/drww/newhall/>. The system requirements of the extraction and installation tools (Windows .EXE archive) at the official download link may not be met on your system but the core Java class files are stored in a platform-independent format (a Java JAR file; e.g. newhall-1.6.1.jar) which is a core dependency in this package. Several more recent modifications to the Newhall JAR file allow for higher throughput and more efficient batching of many simulations allowing for larger-than-memory raster-based inputs and outputs.

Last updated 4 days ago

climatejavajnsmmodelnewhallsimulationsoilopenjdk

3.70 score 1 stars 25 scripts

rosettaPTF - R Frontend for Rosetta Pedotransfer Functions

Access Python rosetta-soil pedotransfer functions in an R environment. Rosetta is a neural network-based model for predicting unsaturated soil hydraulic parameters from basic soil characterization data. The model predicts parameters for the van Genuchten unsaturated soil hydraulic properties model, using sand, silt, and clay, bulk density and water content. The codebase is now maintained by Dr. Todd Skaggs and other U.S. Department of Agriculture employees. This R package is intended to provide for use cases that involve many thousands of calls to the pedotransfer function. Less demanding use cases are encouraged to use the web interface or API endpoint. There are additional wrappers of the API endpoints provided by the soilDB R package `ROSETTA()` method.

Last updated 2 months ago

hydraulichydrologyksatpedotransferpythonreticulaterosettasoil

2.90 score 8 stars 8 scripts

SSURGOPortal - Download and Interact with the 'SSURGO Portal' Tools for Building and Editing U.S. Soil Survey Databases

Provides methods for downloading and interacting with the 'SSURGO Portal' Python tools.

Last updated 3 months ago

2.65 score 3 stars 4 scripts

soilDBdata - Create static data snapshots for soilDB unit tests and comparisons

The goal of soilDBdata is to provide standard methods for building and provisioning test data sets for the soilDB R package. These datasets are stored as SQLite, JSON, CSV in the inst/extdata folder and are buildable by standard methods. Building datasets from scratch may require access to a local instance of a NASIS database with relevant tables populated.

Last updated 11 days ago

2.40 score 3 scripts

rgeowheels - Convenient Access to 'Python' 'Wheel' Packages Prepared for 'Windows'

Downloads pre-compiled 'Windows' 'wheel' files (.whl) for 'Python' geospatial packages from <https://github.com/cgohlke/geospatial-wheels>. These are unofficial binary installers for some geospatial libraries prepared by Christoph Gohlke. Wheels for various packages, 'Python' versions, and architectures are made available via 'GitHub' releases, providing the ability to revert to prior versions when needed.

Last updated 1 years ago

1.70 score 1 stars 2 scripts