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3dgeo_scalable_gis

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

geogeeks

The place where geogeeks go to know "how to do X"

gpusvf

happytrees

The happy tree project uses sensors to measure and communicate the wellbeing of trees to citizens in the urban environment

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.

i-tree_site_selection

Code base of the site selection protocol for the i-Trees project

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"

pointtree

pybdshadow

A python package for generating, analyzing and visualizing building shadows

spatial_signatures

Spatial Signatures for Urban Grammar

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.

umep

Urban Multi-scale Environmental Predictor