Description Usage Arguments Details Value Note Author(s) References See Also Examples
View source: R/00_S3_Definitions.R
Drawing a choropleth (colored regions based on data values) with GADMTools is straightforward. You just have to select your shape(s) file(s) with gadm_loadcountries, load your data from a csv file for example, and call the choropleth function with the right arguments.
| 1 2 3 | 
| x | Object gadm_sf or gadm_sp | 
| data | data.frame - data to plot | 
| value | String - the name of the column in the data.frame we want to plot (eg: an incidence in epidemiology studies) | 
| breaks | Vector of breaks values or a Sring name of a function from classIntervals (one of "sd", "equal", "pretty", "quantile", "kmeans", "hclust", "bclust", "fisher", or "jenks") | 
| steps | Integer - number of breaks. Default = 5. If breaks is NOT NULL this value is used internally with cut(). | 
| adm.join | String - the name in your dataset joined with the field NAME_X of the map, where X is the level of the administrative boundaries. For instance if the level is about 'Districts' of a country, and your dataset has a field named "Study_Location" containing a list of districts, just do adm.join = "Study_Location". | 
| legend | String - legend title. Default NULL. | 
| labels | String vector labels for the legend. Default NULL | 
| palette | String - An RColorBrewer palette name or a String vector vector of colors. Default NULL. | 
| title | String - Title of the plot. Default is an empty string. | 
| subtitle | String - subtitle of the plot. Default is NULL. | 
| caption | String - caaption of the plot. Default is NULL. | 
Since this relase, it's no longer necessary to rename the field of your dataset that is joined with the right field of the map. Just write adm.join="data_field_to_link".
Object ggplot2
—-
Jean Pierre Decorps <jp.decorps@epiconcept.fr>
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classIntervals
| 1 2 3 4 5 6 7 8 9 10 11 12 13 | library(GADMTools)
data("Corsica")
Cantons <- listNames(Corsica, 4)
pop <- floor(runif(length(Cantons), min=15200, max=23500))
DAT <- data.frame(Cantons, pop)
choropleth(Corsica, DAT,
           adm.join = "Cantons",
           value = "pop",
           breaks = "sd",
           palette="Oranges",
           legend = "Population",
           title="Population Cantons de Corse")
 | 
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