knitr::opts_chunk$set( collapse = TRUE, fig.width = 8, comment = "#>" ) hook_output <- knitr::knit_hooks$get("output") knitr::knit_hooks$set(output = function(x, options) { lines <- options$output.lines if (is.null(lines)) { return(hook_output(x, options)) # pass to default hook } x <- unlist(strsplit(x, "\n")) more <- "..." if (length(lines)==1) { # first n lines if (length(x) > lines) { # truncate the output, but add .... x <- c(head(x, lines), more) } } else { x <- c(more, x[lines], more) } # paste these lines together x <- paste(c(x, ""), collapse = "\n") hook_output(x, options) })
library(tmap) library(tmap.networks) tmap_options(scale = 0.75)
With tmap.networks network visualizations can be made. It will handle sfnetwork
objects (from the package sfnetworks) natively.
library(sfnetworks) library(tmap.networks) (sfn = as_sfnetwork(roxel))
Besides this new spatial data class "sfnetwork"
, this package also features new map layers, albeit very basic so far:
tm_shape(sfn) + tm_network()
tm_shape(sfn) + tm_edges(col = "type", lwd = 4) + tm_nodes()
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