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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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