Package: sugarbag 0.1.8

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]

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sugarbag.pdf |sugarbag.html✨
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 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:

6.52 score 42 stars 53 scripts 241 downloads 10 exports 68 dependencies

Last updated 2 years agofrom:e0c3cfc9e9. Checks:3 OK, 6 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 09 2025
R-4.5-win	NOTE	Mar 09 2025
R-4.5-mac	NOTE	Mar 09 2025
R-4.5-linux	NOTE	Mar 09 2025
R-4.4-win	NOTE	Mar 09 2025
R-4.4-mac	NOTE	Mar 09 2025
R-4.4-linux	NOTE	Mar 09 2025
R-4.3-win	OK	Mar 09 2025
R-4.3-mac	OK	Mar 09 2025

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

Dependencies:bit bit64 class classInt cli clipr colorspace cpp11 crayon curl DBI dplyr e1071 fansi farver generics geojsonsf geometries geosphere ggplot2 glue gtable hms isoband jsonify jsonlite KernSmooth labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig prettyunits progress proxy purrr R6 rapidjsonr RColorBrewer Rcpp readr rlang rmapshaper s2 scales sf sfheaders sp stringi stringr tibble tidyr tidyselect tzdb units utf8 V8 vctrs viridisLite vroom withr wk

Tasmania

Rendered fromTasmania.Rmdusingknitr::rmarkdownon Mar 09 2025.

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
geom_sugarbag	geom_sugarbag
The amount of homeless people in each Statistical Area at Level 2 in 2016.	homeless
Read in the shape file as sf object	read_shape
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