generic TODO/explore list #26
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tidygraph solves the unique naming problem for vertices: library(scgraph) |
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ESRI's terminology Interesting stuff here, the terminology is terribly confusing but might give some clues about what happened |
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Boundary adventures This is a good one: Merge logic with this: https://rpubs.com/cyclemumner/neighbours02 |
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Hone in on topology problems, unclear if gibble / silicate really helps more here apart from giving clear entity identities, but a good area to explore: |
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This is a good one, you could probably shoe-horn a solution with sf but it's very much suited to labelled segments that can be re-traced by label into paths. https://stat.ethz.ch/pipermail/r-sig-geo/2018-January/026309.html |
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spdep https://stat.ethz.ch/pipermail/r-sig-geo/2017-June/025756.html Try the skimr approach, a good partnership with the spdep extractions. See ideas here: https://twitter.com/jakub_nowosad/status/872263367599194117 |
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Support gifti https://CRAN.R-project.org/package=gifti |
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much mesh sorcery here https://github.com/Lin20?tab=repositories |
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wow, that last link provide some deep stuff to ponder 🤘 Edit: Note the quote (me on my fave trope again): "it panics when intersecting everything results in two distinct but exactly coincident edges" - and so does |
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Yes, I have to park it a while but it's super interesting! |
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@jhollist a silicate form for profile data, this could be applied to Argo too , I would like to try a few things https://twitter.com/jhollist/status/977254736163491842?s=19 |
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It's not even raining yet https://twitter.com/thomasp85/status/1014239835165548546?s=19 |
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inlabru has mesh classes https://github.com/fbachl/inlabru/blob/devel/R/mesh.R It includes a globe texture image of the earth, but uses a 1-sphere to map the texture, it doesn't have independent texture coordinates so all data must be converted for adding to the scene: lat <- matrix(-asin(seq(-1, 1, len = n.smp)), n.smp, n.smp,
byrow = TRUE)
long <- matrix(seq(-180, 180, len = n.smp) * pi/180, n.smp,
n.smp)
x <- R * cos(lat) * cos(long)
y <- R * cos(lat) * sin(long)
z <- R * sin(lat)
rgl::persp3d(x, y, z, col = "white", texture = system.file("misc/Lambert_ocean.png",
package = "inlabru"), specular = "black", axes = axes,
box = box, xlab = xlab, ylab = ylab, zlab = zlab, normal_x = x,
normal_y = y, normal_z = z) |
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spatgraphs format This is a little weird, the edges list is mapped to vertices, and elements list which vertices this vertex joins to, if any. library(silicate)
x <- SC(minimal_mesh)
edges <- vector("list", nrow(x$vertex))
for (i in seq_along(edges)) {
edges[[i]] <- setdiff(c(match(x$edge$.vertex1[match(x$vertex$vertex_[i], x$edge$.vertex0)], x$vertex$vertex_),
match(x$edge$.vertex0[match(x$vertex$vertex_[i], x$edge$.vertex1)], x$vertex$vertex_)), i)
}
v <- as.matrix(x$vertex[c("x_", "y_")])
g <- as.sg(edges)
plot(g, v)
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Pbufs for mesh https://gist.github.com/Jerdak/87ecbe4bcb0ba9e33b10 |
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Graph colouring https://github.com/saurfang/graphcoloring/blob/master/README.md |
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https://www.r-spatial.org//r/2019/09/26/spatial-networks.html graph conversion |
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#82 NetworkX |
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Rpolyhedra #112 |
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legacy terminology #28 |
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Dewey's s2 globe https://gist.github.com/paleolimbot/2aada1def3e7ce6ece92d823a9c3c07a |
This uses very similar idioms: https://github.com/cran/RArcInfo
It's designed for .e00 format which is natively "arc-node" topology, i.e. the same as the underlying structures in the maps package, and pretty much what polygons in D3 uses. There's also code to read .adf coverages (but that might be raster data or TINs, or either).
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