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NEWS.md

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Version 1.1.0

  • Consolidated package colour helpers into a single palettes() function and removed hcas_color() and ref_density_color().
  • Changed drop_features so excluded RS variables are removed from the active feature set before C++ distance calculations, instead of being zeroed in place.

Version 1.0.0

  • Renamed the reference density function to ref_density(), renamed the radial counting function (from proximity()) to radial_count(), and changed the reference density object class to reference_density.
  • The order of input data has completely changed and both ref_density() and benchmark() functions require data with x, y, predicted, and observed remote sensing variable order.
  • Complete re-write of the main C++ functions (for ref_density(), benchmark(), and radial_count()) using vectorised operations, including changing feature space distance calculations from double to float32, resulting in significant speed improvement (~10x) with no loss of accuracy.
  • The Eigen C++ library is adapted as the main matrix engine.
  • The dependency on KDtrees is dropped while keeping or even improving the speed.
  • The reference density now performs only one-way pairwise distance calculations. As a result, the raw reference density values are exactly halved compared to before. This has no impact on the normalised reference density or the final output.
  • The "corner value" in the reference density (previously calculated as the count of values) is no longer computed, since it is simply equal to the number of samples.
  • The calibrate() function no longer performs interpolation. The output is now fully fitted using a monotonic spline.
  • A fast spatial distance calculation is implemented (no difference for projected CRS with 0.01 meters accuracy).
  • The geographic distance for lat/long is now corrected for the latitude of the source cell, not just the radius transformation to degrees.
  • A new function (tiling()) is added for making raster tiles using raster or matrix data.
  • The NaN pixels are now directly handled within C++ code.
  • Expanded the test suite with additional C++-focused coverage, including edge cases and thread-consistency checks for core workflows.

Version 0.2.0

  • Added drop_features parameter to fully exclude specific remote sensing variables from both the ref_density and benchmark functions.
  • Added a condition to ensure that k_obs is less than or equal to k_pred.
  • A new reference density normalisation method has been implemented in R using the legacy = FALSE argument to mitigate edge effects.
  • The zero-zero point (reference self-count) in the raw reference density is now excluded prior to normalisation.
  • The ref_density function arguments have changed to data and samples.

Version 0.1.6

  • Added a scale_factor parameter to allow user-defined correction of geographic CRS distance calculations, enhancing flexibility in handling distance conversions (previously set to a default value only).
  • Enhanced C++ code for improved efficiency in point class creation.

Version 0.1.5

  • Replaced the natural spline in the calibrate function with a monotonically increasing spline function.

Version 0.1.4

  • Deprecated the linear (piece-wise) calibration method, superseded with the spline method.
  • The arguments of calibrate are updated with x_values and y_values.
  • Fixed the benchmarking self_exclude floating point error.

Version 0.1.3

  • Added the proximity function to count the number of samples within a specified radius.
  • Removed the requirement for add_xy in the benchmark() function.
  • Removed filename and wopt parameters from all functions and replaced them with additional arguments ... for more flexibility.
  • Internal terra functions have been improved by eliminating the need for explicit creation of x and y coordinates.

Version 0.1.2

  • Check for availability of the terra package is added when input is a raster
  • improved documentation and imports
  • a bug fix in benchmarking

Version 0.1.1

  • Added the geographic distance penalty for selecting the nearest predicted neighbours (xy_penalty and xy_stats parameters)
  • Added an option for excluding self-assessment for benchmark sample sites (default).

Version 0.1.0

  • Translated all legacy HCAS codes to R and Rcpp