Lukas Beuster's repositories
HORAYZON
Package to efficiently compute terrain parameters (like horizon, sky view factor, topographic openness, slope angle/aspect) from high-resolution digital elevation model (DEM) data. The package also allows to compute shadow maps and correction factors for downwelling direct shortwave radiation for specific sun positions.
UMEP
Urban Multi-scale Environmental Predictor
split_raster
Split Raster is an open-source and highly versatile Python package designed to easily break down large images into smaller, more manageable tiles. While the package is particularly useful for deep learning and computer vision tasks, it can be applied to a wide range of applications.
pybdshadow
A python package for generating, analyzing and visualizing building shadows
HappyTrees
The happy tree project uses sensors to measure and communicate the wellbeing of trees to citizens in the urban environment
geogeeks
The place where geogeeks go to know "how to do X"
deep-umbra
Generative approach for accumulation of shadows
geodata-harvester
Jumpstart your geospatial analysis with a ready-made set of spatial-temporal aligned raster maps and data frames
i-Tree_site_selection
Code base of the site selection protocol for the i-Trees project
spatial_signatures
Spatial Signatures for Urban Grammar
no-floors-inference-NL
MSc Graduation Thesis: Inferring the number of floors of building footprints in the Netherlands
numerical-taxonomy-paper
Code for the research paper "Methodological Foundation of a Numerical Taxonomy of Urban Form"