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NEWS
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spatialwarnings v3.1.0 (Release date: unknown)
==============================================
This release has received external contributions from K. Siteur
Improvements:
* The type of neighborhood can now be specified in all patch-related functions,
including high-level functions (e.g. `patchdistr_sews`). Neighborhood can also be
specified using the strings "von_neumann" or "moore", on top of a 3x3 matrix
New indicators:
* Clustering of pairs (e.g. Schneider et al. 2016)
* Indicators related to the LSW distribution (Siteur et al. 2023)
Bug fixes and misc changes:
* Many documentation improvements and minor fixes
* Old defunct functions have been removed
spatialwarnings v3.0.3 (Release date: 2022-03-21)
=================================================
This release has received external contributions from J. Guerber.
Improvements:
* In patch size distribution plots, fits are now rescaled when xmin is above 1
so they overlay nicely on the observed distribution
* Better handling of errors in segmented::segmented() when fitting variograms
Bug fixes:
* Fixed an error occurring when using xmin = "estimate" in patchdistr_sews
* Remove calls to assert() that were leftover from testing (CRAN policy)
spatialwarnings v3.0.2 (Release date: 2021-12-16)
=================================================
Improvements:
* Matrix attributes are now preserved when generating null matrices (except
when shuffling the original matrix, null_method = 'perm')
Bug fixes:
* Computation of Moran's I is now accurate for small matrices
spatialwarnings v3.0.0 (Release date: 2021-05-19)
=================================================
Improvements:
* Documentation extended and improved
* Fitting of distributions now uses 'plexpo' and 'trunc' to refer to the
exponent of a power-law ("slope") and its exponential truncation (from
"expo" and "rate", which were ambiguous)
* EXPERIMENTAL: Variogram-based indicators have been added. Note that this
deserves more testing and application to real-world data to make sure that
the computation of variograms are accurate enough.
* EXPERIMENTAL: Significance of flow length can now be assessed using the
analytical approximation described in Rodriguez et al. (2017)
Bug fixes:
* Fixed a bug where available methods were not displayed in `summary()`
* Fixed a bug where the r-spectrum was wrong when the matrix had an odd number
of rows or columns
Misc changes:
* NAs in provided matrices now produce warnings instead of errors
* Dependency to tidyr has been removed (this fixes occasional NOTEs on CRAN
automated checking)
Removals:
* All deprecated functions in spatialwarnings v2.0.0 are now defunct
spatialwarnings v2.0.0 (Release date: 2020-05-14)
=================================================
Improvements:
* New methods are available to produce null matrices, on top of shuffling the
original matrix (e.g. based on smoothing the original matrix).
* Significance of Power-law range can now be tested using `indictest()`.
Using `plot_distr()` on the resulting objects will display the 0.05/0.95
quantiles of the null patch size distributions.
* The package gains a generic function `display_matrix`, to eyeball the
matrices being used in `spatialwarnings` objects using ggplot2
* Improved the fitting of distributions, which should be more robust now.
* Speed improvements in label()
Bug fixes:
* Fixed a bug where the normalization constant for truncated power-laws was
miscalculated
Removals:
* All the deprecated `*_spews` functions are now defunct (removed).
* Most `indicator_*` functions are now deprecated.
Misc changes:
* Lots of duplicated code has been removed
* Minor changes in print/summary methods
* The FAQ has been expanded and improved. See the following page:
https://alex.lecairn.org/spatialwarnings-faq.html
* Dependency to VGAM is now removed
spatialwarnings v1.3.1 (Release date: 2018-12)
==============================================
New indicators:
* Planar flowlength (Mayor et al. 2013, Rodriguez et al. 2017)
* Kolmogorov complexity based on Block Decomposition Method
(Dakos and Soler-Toscano 2016)
Improvements:
* Enable parallel computation of patch size distributions
* Added a dataset of aerial view of vegetation in Arizona ('arizona')
* Added functions to compute the coarse-grained variance/skewness on a
single matrix
Bug fixes and code improvements:
* Added missing methods exports for custom indicators
* Fixed the patch labelling for non-square images
* General code cleanup and improvement
Documentation and description changes:
* Updated references to reflect the publication of new paper presenting
the package <doi:10.1111/2041-210X.13058>
spatialwarnings v1.2 (Release date: 2018-06)
===============================================
Bug fixes:
* Compilation errors should be fixed on Solaris
* Fixed coarse-graining bug when input values are non-integer
spatialwarnings v1.1 (Release date: 2018-06)
============================================
This release provides changes as to satisfy referees' comments
prior to the publication of the package, as long as minor
improvements in documentation.
New features:
* Support for custom indicators (see ?create_indicator)
Minor changes:
* Documentation improvements
* Safer handling of small matrices in SDR computation
Name changes
* `*_spews` functions are now deprecated in favor of `*_sews` functions
Bug fixes
* Counting patches in matrices with 1 line or 1 column
does not crash R anymore
* The R package should now build on Solaris
spatialwarnings v1.0 (Release date: 2017-11-03)
===============================================
Initial release