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130 lines
3.8 KiB
130 lines
3.8 KiB
4 years ago
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[](https://www.repostatus.org/#active)
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[](https://keybase.io/hrbrmstr)
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[](https://travis-ci.org/hrbrmstr/imago)
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# imago
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Hacky World Map GeoJSON Based on the Imago Projection
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## Description
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In 2017, Justin Kunimune reverse engineerd
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(<https://kunimune.home.blog/2017/11/23/the-secrets-of-the-authagraph-revealed/>)
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and open sourced the proprietary AuthaGraph
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(<http://www.authagraph.com/top/?lang=en>) projection. Tools are
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provided to use this map in R for making global choropleth charts.
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## What’s Inside The Tin
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The following functions are implemented:
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## Installation
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``` r
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remotes::install_git("https://git.rud.is/hrbrmstr/imago.git")
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# or
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remotes::install_git("https://git.sr.ht/~hrbrmstr/imago")
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# or
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remotes::install_gitlab("hrbrmstr/imago")
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# or
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remotes::install_bitbucket("hrbrmstr/imago")
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```
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NOTE: To use the ‘remotes’ install options you will need to have the
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[{remotes} package](https://github.com/r-lib/remotes) installed.
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## NOTE
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This is really only suitable for choropleths. You’re not going to be
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able to plot lon/lat on this since it was a hacky conversion from an SVG
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file to a woefully inaccurate projected GeoJSON, done mostly for a
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friend.
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## Usage
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``` r
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library(imago)
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# current version
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packageVersion("imago")
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## [1] '0.1.0'
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```
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``` r
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plot(imago())
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## Reading layer `imago-final' from data source `/Library/Frameworks/R.framework/Versions/3.6/Resources/library/imago/geojson/imago-final.geojson' using driver `GeoJSON'
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## Simple feature collection with 401 features and 1 field
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## geometry type: GEOMETRY
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## dimension: XY
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## bbox: xmin: -121.9723 ymin: 37.37338 xmax: -121.969 ymax: 37.37454
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## epsg (SRID): 4326
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## proj4string: +proj=longlat +datum=WGS84 +no_defs
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```
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<img src="man/figures/README-ex-01-1.png" width="672" />
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``` r
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library(hrbrthemes)
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library(countrycode)
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library(tidyverse)
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cols(
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.default = col_double(),
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date = col_date(format = "")
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) -> covid_cols
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read_csv(
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file = "https://covid.ourworldindata.org/data/who/total_cases.csv",
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col_types = covid_cols
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) %>%
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tail(1) %>%
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gather(country, cases, -date) %>%
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filter(!(country %in% c("World", "International", "Saint Barthlemy"))) %>%
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mutate(iso3c = countrycode(country, "country.name", "iso3c")) %>%
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select(-date, -country) -> covid_global
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left_join(
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imago(quiet = TRUE, stringsAsFactors = FALSE),
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covid_global,
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by = "iso3c"
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) %>%
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ggplot() +
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geom_sf(
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aes(fill = cases), color = "black", size = 0.25
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) +
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scale_fill_viridis_c(
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name = "# Cases\n(log10)", na.value = "white",
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direction = -1, trans = "log10", label = scales::comma
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) +
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coord_sf(datum = NA) +
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labs(title = sprintf("Covid cases as of %s", Sys.Date())) +
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theme_ipsum_es(grid="") +
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theme(legend.key.width = unit(2.5, "lines")) +
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theme(legend.position = "bottom")
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```
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<img src="man/figures/README-ex-02-1.png" width="1300" />
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## imago Metrics
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| Lang | \# Files | (%) | LoC | (%) | Blank lines | (%) | \# Lines | (%) |
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| :--- | -------: | ---: | --: | ---: | ----------: | ---: | -------: | ---: |
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| Rmd | 1 | 0.25 | 43 | 0.83 | 22 | 0.92 | 34 | 0.61 |
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| R | 3 | 0.75 | 9 | 0.17 | 2 | 0.08 | 22 | 0.39 |
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## Code of Conduct
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Please note that this project is released with a Contributor Code of
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Conduct. By participating in this project you agree to abide by its
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terms.
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