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.

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ksslnasisnrcssoilsoil-data-accesssoil-surveysoilwebsqlusda

11.61 score 99 stars 1 dependents 1.1k scripts 1.6k downloads

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.

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digital-soil-mappingncss-technrcspedologypedometricssoilsoil-surveyusda

11.45 score 62 stars 1 dependents 1.3k scripts 1.8k 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.

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8.25 score 20 stars 325 scripts 485 downloads

SoilTaxonomy - A System of Soil Classification for Making and Interpreting Soil Surveys

Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy. Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation. Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.

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great-groupncss-techsoilsoil-surveysoil-taxonomysubgroupsuborderusda

6.32 score 20 stars 70 scripts 341 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.

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nasisnrcssoilsoil-surveyusda

4.87 score 21 stars 39 scripts

rosettaPTF - R Frontend for Rosetta Pedotransfer Functions

Access the rosetta-soil Python pedotransfer functions from R. Rosetta is a neural network-based model for predicting unsaturated soil hydraulic parameters from basic soil characterization data (sand, silt, clay, bulk density, and water content). Predictions are made for the van Genuchten unsaturated hydraulic properties model, with uncertainty quantification via bootstrap ensemble. Designed for efficient batch processing of large datasets through vectorized computation and optional parallel processing.

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4.11 score 13 stars 10 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.

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climatejavajnsmmodelnewhallsimulationsoilopenjdk

3.45 score 1 stars 28 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. Automatically detects and matches Python versions, with support for virtual environments and conda environments.

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2.70 score 1 stars 3 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.

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2.40 score 5 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.

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2.00 score 3 scripts