LogareaR

LogareaR is an open-source software package for the R programming language that provides tools for working with areas stored in logarithmic space. The package is designed to improve numerical stability in analyses where area measurements span multiple orders of magnitude, such as large-scale geography, ecological footprint studies, and land-cover modeling. By representing areas in log space, logareaR simplifies multiplicative relationships and stabilizes variance across scales, enabling more robust statistical inference and streamlined aggregation.

Core features include functions to convert between linear area and log-area representations, support for zero-area data through configurable offset handling, and utilities to perform summaries, transformations, and back-transformations entirely in log space. It integrates with common geospatial ecosystems in R, including sf for vector data and raster for grid-based data, and it provides helpers for propagation of uncertainty and confidence intervals in log space. Visualization tools are included to plot log-area values and to annotate back-transformed results for interpretation in conventional units.

Typical workflows begin with computing logArea for a set of geometries, applying statistical models or aggregations in log space, and using expArea or areaFromLog to interpret results in standard area units. The project emphasizes clear documentation, example-driven tutorials, and interoperability with existing packages to fit into standard geospatial or ecological data pipelines.