We have released version 0.3.6 of LUE. Highlights:
- We added a number of zonal operations (e.q. `zonal_mean`, `zonal_majority`)
- We added the kinematic wave, for simulating the transportation of water through a stream network
- We added the `lue.pcraster` Python subpackage to ease porting PCRaster models to LUE.

By default, all LUE operations use all CPU cores in all computers accessible to them.

https://lue.computationalgeography.org

#LUE #CPP #Python #GIS #MapAlgebra #HPC

A next example of using LUE shows how to calculate the Conway's Game of Life cellular automaton, in parallel.

https://github.com/computationalgeography/lue_tutorial/tree/main/use_case/game_of_life

#LUE #Python #GIS #MapAlgebra #CellularAutomata #HighPerformanceComputing

The upcoming release of the LUE Conda package will have support for reading and writing rasters formatted as Geotiff. I have put a simple example online of using LUE to calculate erodibility using the USLE equation:

https://github.com/computationalgeography/lue_tutorial/tree/main/use_case/usle

#LUE #Python #GIS #MapAlgebra #FieldBasedModelling #HighPerformanceComputing

A few days ago, we released a Conda package containing the full LUE software package, including the field-based modelling framework. Lots of stuff still missing, but this will allows users to install a high-performant parallel map algebra engine using a simple `conda install -c conda-forge lue`.

https://anaconda.org/conda-forge/lue

#LUE #Python #Conda #GIS #MapAlgebra #FieldBasedModelling #HighPerformanceComputing

In Chapter 3 on #spatialanalysis with #mapalgebra, we introduce Raster Attribute Tables (RAT or VAT), which can be used in #QGIS with the Raster Attribute Table plugin developed by Alessandro Pasotti. https://github.com/noaa-ocs-hydrography/qgis-raster-attribute-table-plugin