The goal of patternogram is to quantify the spatial autocorrelation of values from a set of points or a raster object. It does this by calculating the dissimilarity between pairs of points at different distances, and then grouping these dissimilarity estimates into distance intervals to create a patternogram. The patternogram can be used to identify the spatial scale at which the pattern of the points or raster changes and to compare the patterns of different sets of points or rasters.
Installation
You can install the development version of patternogram from GitHub with:
# install.packages("devtools")
devtools::install_github("Nowosad/patternogram")Example
library(patternogram)
library(terra)
#> terra 1.7.44
r = rast(system.file("ex/elev.tif", package = "terra"))
plot(r)
pr = patternogram(r)
pr
#> # A tibble: 15 × 3
#> np dist dissimilarity
#> * <int> <dbl> <dbl>
#> 1 105 2300 37.6
#> 2 328 6895 54.0
#> 3 474 11495 60.7
#> 4 552 16100 66.5
#> 5 583 20700 81.4
#> 6 568 25300 76.8
#> 7 526 29900 82.7
#> 8 490 34500 95.2
#> 9 405 39100 107.
#> 10 326 43700 126.
#> 11 234 48300 141.
#> 12 172 52900 152.
#> 13 81 57450 160.
#> 14 57 62000 164.
#> 15 28 66600 180.
plot(pr)
Documentation
Take a look at a conference presentation:
- Exploring spatial autocorrelation and variable importance in machine learning models using patternograms, 2023-09-06, European Conference of Ecological Modelling 2023, Leipzig - slides
Contibution
Contributions to this package are welcome - let us know if you have any suggestions or spotted a bug. The preferred method of contribution is through a GitHub pull request. Feel also free to contact us by creating an issue.
