Comments (2)
I could keep just one class (e.g. water, class 9) when reading the lidar data and then rasterize, but that looks rather inefficient as there are several classes...
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this seems to work and looks efficient: https://github.com/Pakillo/CityShadeMapper/blob/master/R/rasterize_lidar_cover_class.R
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Related Issues (16)
- R programming resources
- Datos de elevación HOT 2
- Time zones HOT 1
- Develop functions to read lidar and calculate heights from lidar points HOT 1
- Check lidar-generated heights with PNOA MDS & MDT HOT 1
- Vectorize calc_shade for many sun positions HOT 2
- Rayshading: check that ray_shade(lambert = TRUE) does what we want
- Postprocess shade map to obtain shade at street level HOT 5
- rayshader uses height matrix filled by column, not by rows
- rayshader: use maxsearch = 1? HOT 1
- add example datasets
- What shade value to assign below tree canopies?
- Planning shade routes HOT 2
- calc_heights_from_lidar must also return a raster indicating if each pixel is at ground level or not
- Shiny app
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