Notebooks and libraries for spatial/geo Python explorations

:satellite: A lightweight GIS Software in less than 100 lines of code

:globe_with_meridians: A lightweight 3D visualization of the earth in 150 lines of Qt/OpenGL

Computational tools for urban analysis

Cartopy tutorial: Around the world in 80 ways

Scikit for Gmsh to generate 3D finite element mesh

Procedural generation of 2D and 3D geometries and scenes (EXPERIMENTAL CODE!)

A framework for querying AWIPS meteorological datasets from an EDEX Data Server.

Higher Order Reverse Derivatives Efficiently - Automatic Differentiation library. See http://arxiv.org/abs/2507.12640.

Python, Javascript e Kafka para geolocalização de veículos em tempo real usando stream de dados e Server-sent events.

Visualization library for well-known-text strings and shapely geometries.

Racing line optimization algorithm in python that uses Particle Swarm Optimization.

Library with some less common or extended spatial functions

DABOT: Disaster Attention Bot

Let Pydantic and Shapely work together!

Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

国家统计局统计用区划和城乡划分代码采集程序，可采集2009年迄今所有年份的计用区划和城乡划分代码

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.

Collection of short geospatial scripts and more...

A dockless mobility data API built with Python/Sanic

Deprem yardım projesinin bir parçası olarak uydu görüntülerini TIFF formatı üzerinden belirlenen genişlik ve yükseklikte parçalara ayırma ile ilgili çalışmadır. Parçalara ayrılan görüntüler de etiketleme ve model eğitimi için kullanılacaktır.

Learn the basics of geospatial data theory, covering raster, vector, and related concepts. Gain hands-on experience with Python libraries for geospatial data.

This python script developed approach which uses various Explainable AI techniques to interpret the results given by fault detection and diagnosis model for Air Handling Units.

In this repository you will fine explainability of machine learning models.

Proof of concept for polygon zones in Home Assistant.

Working with Spatial Data using FastAPI, SQLAlchemy, GeoAlchemy and PostGIS

Obstruction-Aware Signal-Loss-Tolerant Indoor Positioning (OASLTIP) Using Bluetooth Low Energy

Python package providing a minimal implementation of the SHAP algorithm using the Kernel method

This repo contains the code for extracting explainable audio files from music by processing their Mel Spectrograms we used forlocal XAI: lIME, SHAP and for globale XAI: ALE