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Oct 1, 2017 at 0:11 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jun 28, 2017 at 12:38 comment added jrodriguezmonti I would like to colorize the elevation. Some colors the higher, some other colors the lower, and so on. I want to know how to treat the data before representing it. I want to do that, and represent it as surface and heatmap. Thanks!
Jun 28, 2017 at 9:24 comment added BradHards What you do with the data depends on how it should be presented / decimated. What are you trying to say about the terrain?
Jun 28, 2017 at 8:15 history edited PolyGeo CC BY-SA 3.0
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Jun 28, 2017 at 6:29 answer added gene timeline score: 1
Jun 28, 2017 at 1:29 history edited jrodriguezmonti CC BY-SA 3.0
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Jun 28, 2017 at 1:16 history edited jrodriguezmonti CC BY-SA 3.0
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Jun 28, 2017 at 1:14 comment added jrodriguezmonti Hi! Thanks for your reply. I like that way. Some questions about it. 1) Do you have any code examples to look at ? 2) Is it possible to plot the information already processed ? Because in some cases I do not have the original .img files. Thanks!
Jun 27, 2017 at 23:11 comment added Loïc Dutrieux The easiest is probably to stick to the original raster format you had (.img), read the data directly as a numpy array (e.g. using rasterio), and plot the array with imshow or plot_surface
Jun 27, 2017 at 22:42 history edited PolyGeo
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Jun 27, 2017 at 22:40 comment added mdsumner If R is useable for you read the original file (not the csv) with r <- raster::raster(file), then convert to mesh with qm <- quadmesh::quadmesh(r), then plot with library(rgl); shade3d(qm)
Jun 27, 2017 at 22:34 history edited Vince CC BY-SA 3.0
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Jun 27, 2017 at 22:42
Jun 27, 2017 at 22:05 history asked jrodriguezmonti CC BY-SA 3.0