SQIpro-package: SQIpro: Comprehensive Soil Quality Index Computation and...

In SQIpro: Comprehensive Soil Quality Index Computation and Visualization

SQIpro: Comprehensive Soil Quality Index Computation and Visualization

Description

Provides a comprehensive, modular framework for computing the Soil Quality Index (SQI) using six established methods: Linear Scoring (Doran and Parkin, 1994, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2136/sssaspecpub35.c1")}), Regression-based (Masto et al., 2008, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10661-007-9697-z")}), Principal Component Analysis-based (Andrews et al., 2004, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2136/sssaj2004.1945")}), Fuzzy Logic, Entropy Weighting (Shannon, 1948, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/j.1538-7305.1948.tb01338.x")}), and TOPSIS (Hwang and Yoon, 1981, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-642-48318-9")}). Implements four variable scoring functions: more-is-better, less-is-better, optimum-value, and trapezoidal, following Karlen and Stott (1994, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2136/sssaspecpub35.c4")}). Includes automated Minimum Data Set selection via Principal Component Analysis with Variance Inflation Factor filtering (Kaiser, 1960, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/001316446002000116")}), one-way ANOVA with Tukey HSD post-hoc tests, leave-one-out sensitivity analysis, and publication-quality visualization using 'ggplot2'.

Author(s)

Maintainer: Sadikul Islam [e-mail] (ORCID)

Authors:

• Rajesh Kaushal

SQIpro documentation built on April 20, 2026, 5:06 p.m.