downscale 5.1.3

• 18/09/2025
• Removes sapply warning in predict.downscale

downscale 5.1.2

• 18/09/2025
• Corrections to some error checks

downscale 5.1.1

• 17/09/2025
• Deleted package info from Downscale-package.Rd as requested by CRAN

downscale 5.1.0

• 17/09/2025
• Pull request (villegar) fixes to missing curly brackets in markdown docs

downscale 5.0.0

• 24/05/2023
• SWITCHING TO terra + sf FROM raster + sp
• • Simple reformatting
• • optimisation functions renamed to optimisePars**
• • email address updated
• • minor changes to plots
• • error checking refined and moved to single function

downscale 4.2-1

• 24/11/2021
• • Wesbite added to namespace

downscale 4.2-0

• 24/11/2021
• downscale resubmission to CRAN. Amongst other minor changes:
• • vignettes reworked in markdown
• • new refs and a citation added
• • on.exit used for resetting par() in plotting function
• • exportClasses removed from namespace

downscale 3.0-1

• 31/08/2018
• • Extra information and reference added to description

downscale 3.0-0

• 30/08/2018
• • CITATION file added for JSS article and MEE article added to references

downscale 2.0-3

• 24/08/2017
• • CITATION file added for JSS in press article

downscale 2.0-2

• 08/08/2017
• • SpatialPointsDataFrame input added to upgrain helpfile
• • downscale helpfile updated

downscale 2.0-1

• 01/08/2017
• • Bug when using SpatialPointsDataFrame corrected

downscale 2.0-0

• 28/07/2017
• • ‘lat’ and ‘lon’ replaced with ‘x’ and ‘y’ in data frame input
• • SpatialPointsDataFrame allowed as input

downscale 1.2-4

• 24/11/2016
• • Bug fixed with error checking in predict.downscale and ensemble.downscale

downscale 1.2-3

• 29/09/2016
• • No need to input cell width in hui.downscale with raster or upgrain object

downscale 1.2-2

• 18/08/2016
• • Default upgraining method changed to “All_Sampled”
• • Names of parameters harmonised with JSS paper

downscale 1.2-1

• 10/03/2016
• • Tutorials checked and adjusted

downscale 1.2-0

• 09/03/2016
• • ‘spocc’ replaced by ‘rgbif’ in tutorial

downscale 1.1-0

• 25/02/2016
• • Bug for calculating extent in upgrain function fixed
• • upgrain now can return all upgrained rasters
• • ExtendRaster function deleted (now obsolete)

downscale 1.0

• 09/10/2015
• • upgrain and upgrain.threshold: ‘All Presences’ changed to ‘All_Occurrences’
• • upgrain and upgrain.threshold: bugs fixed when selecting number of scales
• • upgrain: plotting now optional
• • DataInput: bug in scale of endemism corrected
• • Vignettes updated
• • plot and predict changed to s3 methods
• • help files and examples updated
• • Tutorial vignette added
• • Raster package now depends
• • Argument names harmonised across functions
• • Option to specify starting parameters
• • More plotting arguments
• • Calculates AOO as well as occupancy
• • Upgraining vignette added

downscale 0.7

• 24/04/2015
• • Function upgrain.threshold added to explore trade-offs in threshold selection
• • upgrain now allows thresholds of the four default thresholds

downscale 0.6

• 14/04/2015
• • Plotting added to upgrain function
• • Hui model added

downscale 0.5

• 13/03/2015
• • Starting parameters modified
• • Corrected plotting when 0’s predicted

downscale 0.5

• 24/02/2015
• • ensemble.predict: means calculated as mean of log occupancies
• • ensemble.predict: warning messages for inconsistent results
• • package.rd file updated
• • ensemble * - different tolerances allowed for modelling and predicting

downscale 0.4

• 05/02/2015
• • plot=TRUE added to ensemble plotting
• • optimisation of logistic model now includes lower bounds
• • optimisation of GNB model now includes upper and lower bounds

downscale 0.3

• 04/02/2015
• • ensemble.downscale function added

downscale 0.2

• 03/02/2015
• • plotting function added and plotting option added to ‘predict.downscale’
• • output of function downscale defined as class ‘downscale’
• • output of function predict.downscale defined as class ‘predict.downscale’
• • outputs updated to include observed data for use in the plot function
• • help files for downscale and predict.downscale updated