New answers tagged visualisation
May I add this website that ESRI has their Map Book Gallary. It has Online, Map Book archive ? Sometimes when I need something to look at, I usually go this site and to look at them. http://www.esri.com/mapmuseum There is another one not only for International but in United States as well.. http://icaci.org/
Maybe you can try to browse on FOSS4G conference pages. They usually have poster session, like this one FOSS4G Europe 2015.
What you have is a hillshade surface built from a LiDAR point cloud. According to ESRI: A hillshade is a grayscale 3D representation of the surface, with the sun's relative position taken into account for shading the image. So each pixel of your .tif raster has an hypothetical illumination value given a reference position of the sun. What you want is ...
Some options: Cloud Compare: Open-source visualization software. A third-party pre-built executable for Mac is available from https://asmaloney.com/software/, or you can build from source. Includes some pretty-good processing tools if you're looking to do work in addition to just looking at the points. plas.io: Web-based visualization. Simple, not many ...
Extending on @Spacedman's answer, creating a stacked map like the one shown in the question becomes quite simple. You just need to add another map layer and displace its y axis: e.g. aes(x=x, y=y+5) : ggplot(data= ofort) + geom_polygon( aes(x=x, y=y, group=id), fill= "white", color="gray30") + # layer 1 geom_polygon( aes(x=x, y=y+5, group=id, ...
PointCloudViz - http://www.pointcloudviz.com/ Desktop LiDAR Viewer - http://www.pointcloudviz.com/desktop/index.html Cross-platform: Windows, MacOS X, Ubuntu/LinuxMint, Fedora Smooth visualization: unlimited data size Display LiDAR attributes: RGB, intensity, classification and height Georeferenced image overlay: drape single or multiple rasters, Web ...
The examples in your link look like the coordinates have been transformed via a shear and a scale matrix. You can easily apply this to the coordinates you get from the usual fortify/join data that ggplot requires. Need a unique character ID value: oregon.tract$id=as.character(1:nrow(oregon.tract)) Fortify on that ID and join attribute data: ofort = ...
When showing the data in 3D using Qgis2threejs, click on SHIFT+s, and a "save as" window will appear. It has limited options as you can see below, but you can change the width and height as desired. The output file will be in PNG format.
see this ref. Optimising the Selection of a Number of Choropleth Map Classes in T. Bandrova et al. (eds.), Thematic Cartography for the Society, Lecture Notes in Geoinformation and Cartography, DOI: 10.1007/978-3-319-08180-9_6, Springer International Publishing Switzerland 2014
Aristoteles 3D (requires Java) is working on current versions of Ubuntu. (also indicated in OP's comment)
Top 50 recent answers are included