Package: sugarbag 0.1.10

Dianne Cook

sugarbag: Create Tessellated Hexagon Maps

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.

Authors:Dianne Cook [aut, cre, ths], Stephanie Kobakian [aut], Matt Cowgill [ctb]

sugarbag_0.1.10.tar.gz
sugarbag_0.1.10.zip(r-4.7)sugarbag_0.1.10.zip(r-4.6)sugarbag_0.1.10.zip(r-4.5)
sugarbag_0.1.10.tgz(r-4.6-any)sugarbag_0.1.10.tgz(r-4.5-any)
sugarbag_0.1.10.tar.gz(r-4.7-any)sugarbag_0.1.10.tar.gz(r-4.6-any)
sugarbag_0.1.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sugarbag/json (API)
NEWS

# Install 'sugarbag' in R:

install.packages('sugarbag', repos = c('https://srkobakian.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/srkobakian/sugarbag/issues

Pkgdown/docs site:https://srkobakian.github.io

Datasets:

capital_cities - The point locations of Australian capital cities.
fp19 - 2019 Australian Federal election data: First preference votes for candidates (House of Representatives) in each electorate.
homeless - The amount of homeless people in each Statistical Area at Level 2 in 2016.
tas_lga - The polygons of Tasmanian Local Government Areas in 2016.
tas_lga_hexctr - The hexagon centres for polygons of Tasmanian Local Government Areas in 2016.
tas_sa2 - The polygons of Tasmanian Statistical Areas in 2016.

On CRAN:

7.28 score 43 stars 56 scripts 227 downloads 8 exports 37 dependencies

Last updated from:de0ec31a4b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	158
source / vignettes	OK	204
linux-release-x86_64	OK	161
macos-release-arm64	OK	136
macos-oldrel-arm64	OK	221
windows-devel	OK	92
windows-release	OK	108
windows-oldrel	OK	104
wasm-release	OK	129

Exports:%>%allocate closest_focal_point create_centroids create_grid create_hexmap fortify_hexagon fortify_sfc

Dependencies:class classInt cli cpp11 crayon DBI dplyr e1071 generics geosphere glue hms KernSmooth lifecycle magrittr MASS pillar pkgconfig prettyunits progress proxy purrr R6 Rcpp rlang s2 sf stringi stringr tibble tidyr tidyselect units utf8 vctrs withr wk

Tasmania

Rendered fromTasmania.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2022-11-13
Started: 2020-10-04

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Allocate polygon centroids to hexagons in a grid	allocate
The point locations of Australian capital cities.	capital_cities
For the polygon provided, find the closest focal point in the set provided	closest_focal_point
Expand points to extend beyond the outermost centroids	create_buffer
Create a data frame of longitude and latitude centroids of each polygon.	create_centroids
Create a grid of evenly spaced points to allow hexagons to tessellate	create_grid
Create a tessellated hexagon map from a set of polygons	create_hexmap
Filter full set of grid points for those within range of original point	filter_grid_points
Creates the points that define a hexagon polygon for plotting	fortify_hexagon
Convert a simple features tibble to tibble for plotting.	fortify_sfc
2019 Australian Federal election data: First preference votes for candidates (House of Representatives) in each electorate.	fp19
The amount of homeless people in each Statistical Area at Level 2 in 2016.	homeless
The polygons of Tasmanian Local Government Areas in 2016.	tas_lga
The hexagon centres for polygons of Tasmanian Local Government Areas in 2016.	tas_lga_hexctr
The polygons of Tasmanian Statistical Areas in 2016.	tas_sa2