Showing 26 of total 26 results (show query)
ncss-tech
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.
Maintained by Andrew Brown. Last updated 4 days ago.
ksslnasisnrcssoilsoil-data-accesssoil-surveysoilwebsqlusda
19.9 match 85 stars 11.13 score 1.0k scripts 1 dependentsncss-tech
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.
Maintained by Dylan Beaudette. Last updated 15 days ago.
digital-soil-mappingncss-technrcspedologypedometricssoilsoil-surveyusda
18.2 match 55 stars 11.65 score 1.3k scripts 2 dependentsbradlindblad
tidyUSDA:A Minimal Tool Set for Gathering USDA Quick Stat Data for Analysis and Visualization
Provides a consistent API to pull United States Department of Agriculture census and survey data from the National Agricultural Statistics Service (NASS) QuickStats service.
Maintained by Brad Lindblad. Last updated 1 years ago.
15.5 match 43 stars 6.43 score 42 scriptssarahgoslee-usda
VFS:Vegetated Filter Strip and Erosion Model
Empirical models for runoff, erosion, and phosphorus loss across a vegetated filter strip, given slope, soils, climate, and vegetation (Gall et al., 2018) <doi:10.1007/s00477-017-1505-x>. It also includes functions for deriving climate parameters from measured daily weather data, and for simulating rainfall. Models implemented include MUSLE (Williams, 1975) and APLE (Vadas et al., 2009 <doi:10.2134/jeq2008.0337>).
Maintained by Sarah Goslee. Last updated 3 years ago.
15.0 match 1 stars 5.56 score 36 scriptsncss-tech
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.
Maintained by Andrew Brown. Last updated 4 months ago.
great-groupncss-techsoilsoil-surveysoil-taxonomysubgroupsuborderusda
11.0 match 14 stars 6.64 score 52 scriptsopenintrostat
openintro:Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains datasets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.
Maintained by Mine Çetinkaya-Rundel. Last updated 21 days ago.
3.4 match 236 stars 11.11 score 6.0k scriptscran
ggtern:An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
Maintained by Nicholas Hamilton. Last updated 10 months ago.
3.8 match 4 stars 6.95 score 1.0k scripts 6 dependentscbw1243
usdampr:Request USDA MPR Historical Data via the 'LMR' API
Interface to easily access data via the United States Department of Agriculture (USDA)'s Livestock Mandatory Reporting ('LMR') Data API at <https://mpr.datamart.ams.usda.gov/>. The downloaded data can be saved for later off-line use. Also provide relevant information and metadata for each of the input variables needed for sending the data inquiry.
Maintained by Bowen Chen. Last updated 4 years ago.
8.6 match 2 stars 3.00 scorerdinter
usdarnass:USDA NASS Quick Stats API
An alternative for downloading various United States Department of Agriculture (USDA) data from <https://quickstats.nass.usda.gov/> through R. You must sign up for an API token from the mentioned website in order for this package to work.
Maintained by Robert Dinterman. Last updated 5 years ago.
5.1 match 10 stars 5.00 score 3 scriptscddesja
profileR:Profile Analysis of Multivariate Data in R
A suite of multivariate methods and data visualization tools to implement profile analysis and cross-validation techniques described in Davison & Davenport (2002) <DOI: 10.1037/1082-989X.7.4.468>, Bulut (2013), and other published and unpublished resources. The package includes routines to perform criterion-related profile analysis, profile analysis via multidimensional scaling, moderated profile analysis, generalizability theory, profile analysis by group, and a within-person factor model to derive score profiles.
Maintained by Christopher David Desjardins. Last updated 2 years ago.
3.8 match 3 stars 5.65 score 50 scriptsropensci
rusda:Interface to USDA Databases
An interface to the web service methods provided by the United States Department of Agriculture (USDA). The Agricultural Research Service (ARS) provides a large set of databases. The current version of the package holds interfaces to the Systematic Mycology and Microbiology Laboratory (SMML), which consists of four databases: Fungus-Host Distributions, Specimens, Literature and the Nomenclature database. It provides functions for querying these databases. The main function is \code{associations}, which allows searching for fungus-host combinations.
Maintained by Franz-Sebastian Krah. Last updated 4 years ago.
5.8 match 14 stars 3.54 score 5 scriptslightbluetitan
usdatasets:A Comprehensive Collection of U.S. Datasets
Provides a diverse collection of U.S. datasets encompassing various fields such as crime, economics, education, finance, energy, healthcare, and more. It serves as a valuable resource for researchers and analysts seeking to perform in-depth analyses and derive insights from U.S.-specific data.
Maintained by Renzo Caceres Rossi. Last updated 4 months ago.
3.4 match 8 stars 6.05 score 141 scriptsjverzani
UsingR:Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition
A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.
Maintained by John Verzani. Last updated 3 years ago.
4.0 match 4.79 score 1.4k scriptsjlisic
cdlTools:Tools to Download and Work with USDA Cropscape Data
Downloads USDA National Agricultural Statistics Service (NASS) cropscape data for a specified state. Utilities for fips, abbreviation, and name conversion are also provided. Full functionality requires an internet connection, but data sets can be cached for later off-line use.
Maintained by Jonathan Lisic. Last updated 10 months ago.
3.4 match 10 stars 5.31 score 102 scriptscbw1243
rarms:Access Data from the USDA ARMS Data API
Interface to easily access data via the United States Department of Agriculture (USDA)'s Agricultural Resource Management Survey (ARMS) Data API <https://www.ers.usda.gov/developer/data-apis/arms-data-api/>. The downloaded data can be saved for later off-line use. Also provide relevant information and metadata for each of the input variables needed for sending the data inquery.
Maintained by Bowen Chen. Last updated 5 years ago.
5.6 match 2 stars 3.00 scoreusdaforestservice
FIESTA:Forest Inventory Estimation and Analysis
A research estimation tool for analysts that work with sample-based inventory data from the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program.
Maintained by Grayson White. Last updated 6 days ago.
1.6 match 28 stars 9.15 score 58 scriptskwstat
agridat:Agricultural Datasets
Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.
Maintained by Kevin Wright. Last updated 1 months ago.
1.2 match 124 stars 11.22 score 1.7k scripts 4 dependentsncss-tech
sharpshootR:A Soil Survey Toolkit
Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Maintained by Dylan Beaudette. Last updated 3 months ago.
1.6 match 18 stars 8.25 score 331 scriptsmdkrause
SoyURT:USDA Northern Region Uniform Soybean Tests Dataset
Data sets used by 'Krause et al. (2022)' <doi:10.1101/2022.04.11.487885>. It comprises phenotypic records obtained from the USDA Northern Region Uniform Soybean Tests from 1989 to 2019 for maturity groups II and III. In addition, soil and weather variables are provided for the 591 observed environments (combination of locations and years).
Maintained by Matheus Dalsente Krause. Last updated 6 months ago.
3.4 match 1 stars 2.70 score 5 scriptsdrwolf85
inca:Integer Calibration
Specific functions are provided for rounding real weights to integers and performing an integer programming algorithm for calibration problems. They are useful for census-weights adjustments, or for performing linear regression with integer parameters. This research was supported in part by the U.S. Department of Agriculture, National Agriculture Statistics Service. The findings and conclusions in this publication are those of the authors and should not be construed to represent any official USDA, or US Government determination or policy.
Maintained by Luca Sartore. Last updated 5 years ago.
3.1 match 2 stars 2.20 score 16 scriptsusdaforestservice
FIESTAutils:Utility Functions for Forest Inventory Estimation and Analysis
A set of tools for data wrangling, spatial data analysis, statistical modeling (including direct, model-assisted, photo-based, and small area tools), and USDA Forest Service data base tools. These tools are aimed to help Foresters, Analysts, and Scientists extract and perform analyses on USDA Forest Service data.
Maintained by Grayson White. Last updated 6 days ago.
0.8 match 5 stars 6.13 score 1 dependentsrvlenth
lsmeans:Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or linear functions of least-squares means, and comparisons of slopes. Plots and compact letter displays. Least-squares means were proposed in Harvey, W (1960) "Least-squares analysis of data with unequal subclass numbers", Tech Report ARS-20-8, USDA National Agricultural Library, and discussed further in Searle, Speed, and Milliken (1980) "Population marginal means in the linear model: An alternative to least squares means", The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>. NOTE: lsmeans now relies primarily on code in the 'emmeans' package. 'lsmeans' will be archived in the near future.
Maintained by Russell Lenth. Last updated 6 years ago.
0.5 match 11 stars 7.67 score 1.7k scriptsropensci
rnassqs:Access Data from the NASS 'Quick Stats' API
Interface to access data via the United States Department of Agriculture's National Agricultural Statistical Service (NASS) 'Quick Stats' web API <https://quickstats.nass.usda.gov/api/>. Convenience functions facilitate building queries based on available parameters and valid parameter values. This product uses the NASS API but is not endorsed or certified by NASS.
Maintained by Nicholas Potter. Last updated 5 months ago.
0.5 match 45 stars 7.05 score 62 scriptsbluegreen-labs
snotelr:Calculate and Visualize 'SNOTEL' Snow Data and Seasonality
Programmatic interface to the 'SNOTEL' snow data (<https://www.nrcs.usda.gov/programs-initiatives/sswsf-snow-survey-and-water-supply-forecasting-program>). Provides easy downloads of snow data into your R work space or a local directory. Additional post-processing routines to extract snow season indexes are provided.
Maintained by Koen Hufkens. Last updated 3 months ago.
climate-datadata-retrievalprecipitation-datasnotelsnow
0.5 match 15 stars 6.89 score 57 scriptsrafael-ayala
NutrienTrackeR:Food Composition Information and Dietary Assessment
Provides a tool set for food information and dietary assessment. It uses food composition data from several reference databases, including: 'USDA' (United States), 'CIQUAL' (France), 'BEDCA' (Spain), 'CNF' (Canada) and 'STFCJ' (Japan). 'NutrienTrackeR' calculates the intake levels for both macronutrient and micronutrients, and compares them with the recommended dietary allowances (RDA). It includes a number of visualization tools, such as time series plots of nutrient intake, and pie-charts showing the main foods contributing to the intake level of a given nutrient. A shiny app exposing the main functionalities of the package is also provided.
Maintained by Rafael Ayala. Last updated 2 years ago.
0.5 match 2.18 score 15 scripts