Changes in version 0.2.1                        

New Features and Enhancements

Performance Improvements

  - Replaced R distance calculation function with a C++ implementation
    for faster computation in fds

                 Changes in version 0.2.0 (2026-02-17)                  

New Features and Enhancements

Stem Point Filtering for DBH Estimation

  - Added semantic segmentation support to the forest inventory
    function, allowing users to filter points by classification (e.g.,
    stem-only points) for more accurate DBH estimation.

Custom TreeID Column Support

  - Flexible tree identification: The forest_inventory() function now
    supports custom TreeID column names through the tree_id_col
    parameter
  - Added non_tree_id parameter to specify which values represent
    non-tree elements (can be a vector)

Performance Improvements

  - Significantly optimized circle fitting algorithm with vectorized
    distance calculations
  - Implemented weighted point sampling based on local point density for
    better convergence
  - Reduced iterations to 500 and added early stopping criteria (30
    angular segments)
  - Completely rewrote core forest_inventory() logic to use data.table
    instead of loops and foreach parallelization
  - Improved readability with helper functions: .fit_circle(),
    .fit_circles(), .spline_predict()
  - Eliminated parallelization overhead for single-core efficiency

Stability and Quality Enhancements

  - Improved height normalization: Better handling of Z-coordinates when
    reference height (Zref) is available
  - Enhanced quality control: Added validation checks for unrealistic
    circle diameters and center positions
  - Robust data types: Fixed data.frame structure issues by converting
    merged results properly
  - Better error handling: Added validation for stem segmentation
    parameters and semantic column existence

Bug Fixes

  - Fixed spline prediction height (now uses 1.3 + 0.5*increment for
    better accuracy)
  - Corrected data.frame structure in inventory output
  - Fixed cosmetic issues and improved code formatting
  - Resolved issues with NA value handling in RANSAC circle fitting