There are 41 repositories under geospatial-analysis topic.
Long list of geospatial tools and resources
A collection of Python packages for geospatial analysis with binder-ready notebook examples
Geo Spatial Data Analytics on Spark
Course materials for: Geospatial Data Science
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
Geospatial resources for web development :earth_africa: 🗺️
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
MicaSense RedEdge and Altum image processing tutorials
a package to create and plot Voronoi regions within geographic boundaries
Over 60 recipes to work with topology, overlays and indoor routing
A lightweight and efficient Python Morton encoder with support for geo-hashing
GRASS GIS Addons Repository (Manuals: https://grass.osgeo.org/grass-stable/manuals/addons/ | Linux-logs: https://grass.osgeo.org/addons/grass8/logs/ | Windows logs: https://wingrass.fsv.cvut.cz/grass83/addons/grass-8.3.2/logs/)
:globe_with_meridians: Interactive Workshop on GeoAnalysis using PySpark
Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231) | Tutorial: https://actinia-org.github.io/actinia-core/ | Docker: https://hub.docker.com/r/mundialis/actinia-core
An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)
A crash course into using Python for geospatial analysis.
Universal solution for geospatial data tailored to data lakehouse systems for the first time in the industry
Extract and Visualize location from any file
Pipeline for Observational Data Processing Analysis and Collaboration
Geospatial Land Availability for Energy Systems
PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images
Sample Jupyter notebooks for EOdal
Tracktable: moving object trajectory analysis in C++ and Python
UW Geospatial Data Analysis Course
Manage your XYZ Hub or HERE Data Hub spaces from Python.
Short course on interactive analysis of Big Earth Data with Jupyter Notebooks
FastGeospatial is a PostGIS geospatial api to enable geospatial analysis on geographical data within a spatial database.