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pedometrics (version 0.12.1)

Miscellaneous Pedometric Tools

Description

An R implementation of methods employed in the field of pedometrics, soil science discipline dedicated to studying the spatial, temporal, and spatio-temporal variation of soil using statistical and computational methods. The methods found here include the calibration of linear regression models using covariate selection strategies, computation of summary validation statistics for predictions, generation of summary plots, evaluation of the local quality of a geostatistical model of uncertainty, and so on. Other functions simply extend the functionalities of or facilitate the usage of functions from other packages that are commonly used for the analysis of soil data. Formerly available versions of suggested packages no longer available from CRAN can be obtained from the CRAN archive .

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Install

install.packages('pedometrics')

Monthly Downloads

358

Version

0.12.1

License

GPL (>= 2)

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Last Published

June 19th, 2022

Functions in pedometrics (0.12.1)

isNumint

Tests for data types
coordenadas

Defunct functions
buildModelSeries

Build a series of linear models using automated variable selection
gcpVector

Calculate module and azimuth
adjR2

Adjusted coefficient of determination
pedometrics-package

Pedometric Tools and Techniques
cont2cat

Categorize/stratify numerical variable(s)
checkGMU

Evaluation of geostatistical models of uncertainty
cramer

Association between categorical variables
bbox2sp

Create a Spatial* object from a bounding box
plotHist

Histogram and density plot
plotESDA

Plots for exploratory spatial data analysis (ESDA)
plotCor

Correlation plot
rowMinCpp

Return the minimum value in each row of a numeric matrix
skewness

Moment coefficient of skewness
vgmSCV

Spatially correlated variance (SCV)
plotModelSeries

Model series plot
statsModelSeries

Obtain performance statistics of a series of linear models
stepVIF

Variable selection using the (generalized) variance-inflation factor (VIF)
variogramGuess

Guess the parameters of a spatial covariance function
variogramBins

Variogram binning