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use leafgl to visualise mesh3d
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library(ggplot2) | |
library(leafgl) | |
library(leaflet) | |
library(sf) | |
sfx <- sf::st_transform(sf::st_cast(dplyr::filter(silicate::inlandwaters, Province == "Tasmania"), "POLYGON")[2, ], 4326) | |
topo <- ceramic::cc_elevation(sfx, zoom = 9) | |
mesh <- anglr::as.mesh3d(anglr::copy_down(anglr::DEL(sfx, max_area = .0001), | |
topo)) | |
st_as_sf.mesh3d <- function(x, ...) { | |
idx = if (!is.null(x$it)) x$it else x$ib | |
idx = rbind(idx, idx[1, ]) | |
nc = dim(idx)[2L] | |
idx = as.vector(idx) | |
mat = cbind(x$vb[1L, idx], x$vb[2L, idx]) | |
grp = rep(seq_len(nc), each = 4L) | |
lst = split.data.frame(mat, grp) | |
sf::st_sf( | |
average_z = tapply(x$vb[3L, idx], grp, mean, na.rm = TRUE) | |
, geometry = sf::st_sfc( | |
lapply( | |
lst | |
, function(i) sf::st_polygon(list(i)) | |
) | |
) | |
, ... | |
) | |
} | |
mesh_sf = st_as_sf(mesh, crs = 4326) | |
clr = makeColorMatrix(~average_z, mesh_sf, palette = "inferno") | |
leaflet() %>% | |
addProviderTiles("CartoDB.DarkMatter") %>% | |
addGlPolygons(mesh_sf, color = clr, popup = TRUE) %>% | |
setView(lng = 146.5, lat = -42.5, zoom = 7) |
I had a go at implementing it in Rcpp in mapdeck a while ago. You could test mapdeck:::mesh_to_sf()
?
Yip, it's much faster. I updated the original gist with a much faster version of st_as_sf.mesh3d
, Rcpp still eats it for breakfast!
library(microbenchmark)
microbenchmark(
sf = st_as_sf(mesh)
, md = mapdeck:::mesh_to_sf(mesh, c("vb", "it"))
, times = 10
)
Unit: milliseconds
expr min lq mean median uq max neval
sf 5517.50783 5825.09536 6232.2307 6232.57181 6524.7249 6998.7204 10
md 82.27326 94.87767 107.7158 99.13353 105.7012 166.2793 10
I'll be into this in a few days going riding 👍👍
Have fun!
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The above
st_as_sf.mesh3d
can probably severley sped up. This is only a POC!