gg and R and sp
This is the "vector" version of tabularaster.
Write analogy to gggeom to have doubly nested tables.
library(ggrasp) library(tibble) library(tidyr) data(holy_poly) spdata <- spbabel::sp(holy_poly, attr_tab = tibble(mydat = c("a", "b", "c"))) ggg <- nest(spdata) plot(ggg, col = rainbow(nrow(ggg), alpha = 0.5))
Use this basis to build data+pslg version atts, 1D primitives, vertices (unique).
Decompose to just edges.
#edges <- primitives1D()
Use that to build 2D primitives.
Round trip from sp to branches to primitives to sp. Leverage sp/rgeos/rgdal for spatial ops, ggvis for visualization.
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