geospark: Generates Spatial Sparklines as Simple Feature Collection...

In datagistips/geosparklines: Create Geographic Sparklines

Description

Generates Spatial Sparklines as Simple Feature Collection (sfc)

Usage

geospark(coords, my_stats, width, height, direction = "ne", mode = "normal")

Arguments

coords	Points coordinates
my_stats	Values associated to points as a column-wise (long) format. For instance, one column = one date
width	Total width of the line
height	Total height of the line
direction	Direction of lines, upward (north), downward (south), left (west) or right (east). For instance, "ne" will generate upward right lines, "sw" will generated downward left lines.
mode	Normal or Log transformation mode

Details

This function calculates sparklines, based on statistical data, for instance Time-Series You can choose width, height of the line, but also direction of the lines. The Log transformation helps having smoother lines when having an exponential evolution. You can pilot the rendering of individual lines with finer details, with singleGeospark

Value

returns a geometry collection (sfc)

returns a geometry collection (sfc)

See Also

geosparklines::singleGeospark(), browseVignettes("geosparklines")

Examples

library(readr)
library(sf)
f <- read_csv("https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv")
geosparks <- geospark(f[, c('Long', 'Lat')], f[, 5:ncol(f)], width=20, height=20, mode = 'log')
plot(geosparks)
st_geometry(f) <- geosparks

datagistips/geosparklines documentation built on April 28, 2020, 3:03 p.m.