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sugarbag
View on CRAN: Click
here
Download and install sugarbag package within the R console
Install from CRAN:
install.packages("sugarbag")
Install from Github:
library("remotes")
install_github("cran/sugarbag")
Install by package version:
library("remotes")
install_version("sugarbag", "0.1.6")
Attach the package and use:
library("sugarbag")
Maintained by
Dianne Cook
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-14
Latest Update: 2022-11-09
Description:
Create a hexagon tile map display from spatial polygons. Each polygon is represented by a hexagon tile, placed as close to it's original centroid as possible, with a focus on maintaining spatial relationship to a focal point. Developed to aid visualisation and analysis of spatial distributions across Australia, which can be challenging due to the concentration of the population on the coast and wide open interior.
How to cite:
Dianne Cook (2019). sugarbag: Create Tessellated Hexagon Maps. R package version 0.1.6, https://cran.r-project.org/web/packages/sugarbag
Previous versions and publish date:
Other packages that cited sugarbag R package
View sugarbag citation profile
Other R packages that sugarbag depends,
imports, suggests or enhances
Functions, R codes and Examples using
the sugarbag R package
Some associated functions: allocate . capital_cities . closest_focal_point . create_buffer . create_centroids . create_grid . create_hexmap . filter_grid_points . fortify_hexagon . fortify_sfc . fp19 . homeless . read_shape . reexports . sugarbag-package . tas_lga . tas_lga_hexctr . tas_sa2 .
Some associated R codes: allocate.R . closest_focal_point.R . create_buffer.R . create_centroids.R . create_grid.R . create_hexmap.R . data.R . filter_grid_points.R . find_lat_group.R . fortify_hexagon.R . fortify_sfc.R . global.R . read_shape.R . reexports.R . sugarbag-package.R . utils.R . Full sugarbag package functions and examples
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