Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

Python library for cleaning and regularising building footprints in geospatial data, aligning edges to principal directions and simplifying polygons for more accurate analysis.

A Python library for performing geospatial data analysis which reimplements turf.js.

The notebooks to accompany Python for Geospatial Data Analysis

python programming for geospatial data processing, analysis and visualization

This includes short and minimalistic few sessions covering fundamentals of Python programing language for geospatial data analysis.

GeoHD is a Python toolkit for geospatial hotspot detection, visualization, and analysis using urban data.

A Python-based project for processing and analyzing geospatial data using machine learning techniques, leveraging libraries like GeoPandas, Scikit-learn, and Folium. Includes examples for spatial analysis, visualization, and predictive modeling with real-world geographic datasets.

A collection of algorithms I use for the analysis of geospatial data. Written in C, wrapped in Python.

Notebooks for Programmatic Access to Daymet V4 Data and Geospatial Analysis in Python and ArcGIS Pro

📊 A real-time air quality analysis project using Python. Explores AQI data from Indian cities via data.gov.in API. Includes EDA, pollutant trends, correlation, clustering (KMeans), and interactive geospatial maps with Folium. Built for INT375: Data Science Toolbox.

Workshop materials for "Open Source Geospatial Workflows in the Cloud: Learn about Tools and Techniques for Data Access, Analysis, Visualization, Storytelling, and Sharing in the Python and Jupyter ecosystem"

A Python web API for easy geospatial analysis of raster data

Training and course in python for data science and geospatial analysis.

Developed a GIS-based evacuation route optimization tool using Python libraries (GeoPandas, NetworkX, Folium). Implemented machine learning and geospatial analysis for dynamic route planning, enhanced with real-time data visualization and traffic flow simulations for emergency scenarios.

3D Punjab Mapping: A Python workflow that downloads ESA WorldCover data, mosaics and crops it to Punjab, Pakistan, generates a DEM from SRTM, and visualizes a polished 2D land cover map. Ideal for geospatial analysis and remote sensing applications.

Exercise file for GeoSpatial Data Analysis with Python

Real-time geospatial map visualization tool using Python, Folium, and Streamlit. Displays GPS data, adds markers dynamically, and supports user interaction. Modular, extensible, and perfect for tracking, analysis, or location-based apps. 🗺🚀 #Python #GIS

Automates the process of downloading ERA5-Land daily statistical data, such as 2m temperature, and converting it into GeoTIFF format using Python. The script handles data extraction, conversion, and visualization, making it easy to work with geospatial datasets for climate analysis and mapping.

Demographic and geospatial analysis of U.S. markets for OrangeTheory Fitness site selection. Combines Census ACS data, isochrone modeling, and Tableau dashboards to evaluate expansion opportunities using Python and SQL.

The Geoscientific Library for Analysis of Spatial Systems (GLASS) is a free and open source library for geospatial data science. It consistes of a set of Python Methods to support the automatization of spatial data science activities based on Geographic Information Systems Software. These Python Methods could be included in any high-level spatial analysis application.

Krishi Sakhi (Agricultural Friend) is an enhanced Python-based web application designed specifically for smallholder farmers in Kerala, India. The application provides hyper-localized, personalized agricultural advice by leveraging geospatial data and AI-powered analysis with a beautiful multilingual interface.

House Price Prediction Dashboard is a data-driven web application built using Streamlit and Python libraries that provides an interactive experience for exploring, visualizing, and predicting house prices. The app integrates advanced data exploration, geospatial analysis, and machine learning models to offer insights into market trends.

No description available

Tutorial of GDAL and Python for geospatial data analysis.

A Python package for scientific data processing, visualization, and analysis. Provides tools for data manipulation, machine learning, and geospatial analysis

Advanced Market Basket Analysis and Geospatial Data Integration on 400K U.S. online retail orders using Apriori algorithm, geospatial data, and Python for data-driven decision-making.

GeoGPT Analysis Toolset is a Python package for geospatial data analysis, supporting operations like transformations, spatial joins, and land use classification on vector and raster data. Built for geospatial professionals and researchers. This package integrates seamlessly with advanced python libraries for advanced analysis and mapping.

NetCdf data analysis for the "Climate Geospatial Analysis with Python and Xarray" of Amazon Rain Forest. from 1979-01-01 to 2019-01-01.