Notebooks and libraries for spatial/geo Python explorations
📡 A lightweight GIS Software in less than 100 lines of code
🌐 A lightweight 3D visualization of the earth in 150 lines of Qt/OpenGL
Cartopy tutorial: Around the world in 80 ways
Computational tools for urban analysis
Procedural generation of 2D and 3D geometries and scenes (EXPERIMENTAL CODE!)
Scikit for Gmsh to generate 3D finite element mesh
A framework for querying AWIPS meteorological datasets from an EDEX Data Server.
Visualization library for well-known-text strings and shapely geometries.
Python, Javascript e Kafka para geolocalização de veículos em tempo real usando stream de dados e Server-sent events.
Racing line optimization algorithm in python that uses Particle Swarm Optimization.
Library with some less common or extended spatial functions
SnapLoc is a product that does automatic image classification and spatio-temporal analysis in order to recommend the places of interest in a new city. The packages that I have used for creating the product are Python(Pandas, NumPy, Shapely, Keras, Leaflet) and TensorFlow
OSMuf: Analyse urban form with Python and OpenStreetMap. Quantitative analysis of urban blocks and built density. Built on OSMnx.
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
Collection of short geospatial scripts and more...
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