aquats: Robust Ecological and Fisheries Data Analysis and Visualization

aquats provides a streamlined, publication-grade analytical and visualization framework tailored for aquatic ecology, fisheries science, and environmental monitoring workflows.

Key Modules & Capabilities

• Parametric & Non-Linear Regressions: Linear, allometric power (\(y = a \cdot x^b\)), exponential, logarithmic, polynomial, and cubic curves with auto-generated algebraic labels, \(R^2\), and \(p\)-values.
• Univariate & Multivariate Statistics: Streamlined wrappers for one-way/factorial ANOVA, ANCOVA, MANOVA, and Generalized Linear Models (GLMs) for count and continuous data.
• Multivariate Ordination & Community Ecology: Publication-ready NMDS, PCA, RDA, distance-based RDA (db-RDA), hierarchical cluster dendrograms, and integrated Mantel test network heatmaps.
• Ecological Diversity & Accumulation: Alpha diversity profiling (Shannon, Simpson, Chao1, Pielou evenness) and species accumulation curves.
• Environmental & Ecotoxicological Assessment: Weighted Arithmetic Water Quality Index (WAWQI) and comprehensive heavy metal contamination metrics (CF, CD, PLI, HPI, HEI).
• Longitudinal Time-Series Tracking: Multi-station temporal trends with LOESS/linear fits and 95% confidence ribbons.

Installation

You can install the released version of aquats from GitHub using remotes:

# install.packages("remotes")
remotes::install_github("Ataher76/aquats")

Quick Start

1. Non-Linear Allometric Regression

library(aquats)

# Fit an allometric power curve with 95% confidence intervals
res <- regression_analysis(
  data = hilsa_master,
  x_var = "TL_cm",
  y_var = "BW_g",
  fit_type = "power",
  interval = "confidence",
  point_size = 2.5
)

# Display publication-ready plot
print(res$Plot)

2. Community Alpha Diversity Profiling

library(aquats)

# Calculate alpha diversity indices using bundled community data
div_res <- calc_diversity(
  data = community_master
)

head(div_res)

Citation

If you use aquats in your research or publications, please cite it as:

Ali, A., & Alam, M. S. (2026). aquats: Robust Ecological and Fisheries Data Analysis and Visualization (v1.2.1). Zenodo. https://doi.org/10.5281/zenodo.22885025

You can also generate the BibTeX entry directly in R:

citation("aquats")

@Manual{,
  title  = {aquats: Robust Ecological and Fisheries Data Analysis and Visualization},
  author = {Ataher Ali and Mohammed Shahidul Alam},
  year   = {2026},
  note   = {R package version 1.2.1},
  doi    = {10.5281/zenodo.22885025},
  url    = {[https://github.com/Ataher76/aquats](https://github.com/Ataher76/aquats)}
}

Authors & Maintainer

• Ataher Ali – Author & Maintainer
  • ORCID: 0009-0008-8780-0903
  • Email: ataher.cu.ms@gmail.com
• Mohammed Shahidul Alam – Author & Supervisor
  • ORCID: 0000-0003-2740-5908
  • Email: alamms@cu.ac.bd

License

This package is licensed under the MIT License.

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