Other packages > Find by keyword >

lacunaritycovariance  

Gliding Box Lacunarity and Other Metrics for 2D Random Closed Sets
View on CRAN: Click here


Download and install lacunaritycovariance package within the R console
Install from CRAN:
install.packages("lacunaritycovariance")

Install from Github:
library("remotes")
install_github("cran/lacunaritycovariance")

Install by package version:
library("remotes")
install_version("lacunaritycovariance", "1.1-9")



Attach the package and use:
library("lacunaritycovariance")
Maintained by
Kassel Liam Hingee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-24
Latest Update: 2025-09-03
Description:
Functions for estimating the gliding box lacunarity (GBL), covariance, and pair-correlation of a random closed set (RACS) in 2D from a binary coverage map (e.g. presence-absence land cover maps). Contains a number of newly-developed covariance-based estimators of GBL (Hingee et al., 2019) and balanced estimators, proposed by Picka (2000) , for covariance, centred covariance, and pair-correlation. Also contains methods for estimating contagion-like properties of RACS and simulating 2D Boolean models. Binary coverage maps are usually represented as raster images with pixel values of TRUE, FALSE or NA, with NA representing unobserved pixels. A demo for extracting such a binary map from a geospatial data format is provided. Binary maps may also be represented using polygonal sets as the foreground, however for most computations such maps are converted into raster images. The package is based on research conducted during the author's PhD studies.
How to cite:
Kassel Liam Hingee (2019). lacunaritycovariance: Gliding Box Lacunarity and Other Metrics for 2D Random Closed Sets. R package version 1.1-9, https://cran.r-project.org/web/packages/lacunaritycovariance. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0-8 (2019-07-24 09:50), 1.0-13 (2020-01-31 14:20), 1.1-0 (2020-09-07 15:00), 1.1-1 (2021-03-24 14:30), 1.1-2 (2021-11-07 09:00), 1.1-3 (2022-02-15 11:00), 1.1-4 (2022-11-22 10:10), 1.1-5 (2023-02-08 09:12), 1.1-6 (2023-11-01 06:00), 1.1-7 (2023-11-02 14:10)
Other packages that cited lacunaritycovariance R package
View lacunaritycovariance citation profile
Other R packages that lacunaritycovariance depends, imports, suggests or enhances
Complete documentation for lacunaritycovariance
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA