data: A data environment for this package.
In PatternClass: Class-Focused Pattern Metric Comparisons using Simulation

Description Usage Format Details Source References Examples

Specific data objects and temporary objects are written to this environment.

1	data(data)

The format is: <environment: 0x0000000005686de0>

demoimage1 This is a simulated binary landscape (64x64 pixels), having 40 demoimage2 This is a simulated binary landscape (64x64 pixels), having 40 DIFF50 This is a lookup table that has been generated in advance and provided with the package. It provides the bias correction values for estimating spatial autocorrelation from a categorical map using the Whittle method. The lookup table is a matrix of 10 rows (configuration) and 9 columns (composition). Each bias correction value is based on the mean of 50 replicates. This matrix can be rebuilt using more replicates and for data sets with extents different from 64x64 cells by calling the build.lut function. Warning: rebuilding this lookup tables takes a lot of time. surfaces This is a pre-constructed array containing the 38 class-focused pattern metrics for one colour computed for 1000 replicates of each combination of 9 composition and 11 configuration parameterizations of simulated 64x64 cell binary maps. This array is used by the surfplot function to produce numerous permutations of summary plots that facilitate understanding and comparison of metrics. However, the production of this object takes considerable time using buildsurfs; thus it is provided here. Note: if plots, summaries, and comparisons are desired for maps having a different extent, then this array needs to be rebuilt. However, our work shows that this size of landscape is reasonable for this type of analysis. result1 This is the result of running singlemap on demoimage1 and is used to demonstrate plotting output. Users will produce their own versions of this object when processing their own images. result2 This is the result of running singlemap on demoimage2 and is used to demonstrate plotting output. Users will produce their own versions of this object when processing their own images. WIBI This is a temporary object shared among functions and does not need to be accessed by users. WITRUNC This is a temporary object shared among functions and does not need to be accessed by users.

The data are all simulated using functions available in the PatternClass package.

Remmel, T.K. and M.-J. Fortin. 2013. Categorical class map patterns: characterization and comparison. Landscape Ecology. DOI: 10.1007/s/10980-013-9905-x.

Remmel, T.K. and M.-J. Fortin. What constitutes a significant difference in landscape pattern? (using R). 2016. In Gergel, S.E. and M.G. Turner. Learning landscape ecology: concepts and techniques for a sustainable world (2nd ed.). New York: Springer.