geospatial
📌 GPS logger for iOS devices.
Overland tracks your location and sends your data to a server of your choosing. The app will save data while you're offline, and send it to the server later in batches.
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Find and visualize your geohash.
This project is intended as a simple way to find and visualize geohash bounds in a latitude,longitude context.
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📡 Lightweight GPS Logging Application For Android.
GPSLogger is an Android app that logs GPS information to various formats (GPX, KML, CSV, NMEA, Custom URL) and has options for uploading (SFTP, OpenStreetMap, Google Drive, Dropbox, Email). This app aims to be as battery efficient as possible.
GPSLogger uses the GPS capabilities of your Android phone to log coordinates to GPS format files at regular intervals. This can be particularly useful if you want to geotag your photos after a day out or share your travel route with someone. The purpose of this application is to be battery efficient to save you battery power when abroad and last as long as possible.
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API for generating static map images
docker-staticmaps is an open-source API for rendering static map images. Easily create maps with markers, polygons, circles, polylines or text, making it perfect for embedding map images on websites or apps. Comes with built-in rate limiting and image caching to optimize performance and protect against abuse.
SedonaDB is an open-source single-node analytical database engine with geospatial as a first-class citizen. It aims to deliver the fastest spatial analytics query speed and the most comprehensive function coverage available.
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A Swift library for uncertainty-aware programming.
A Swift library for uncertainty-aware programming, which is especially useful for making reliable decisions with noisy, error-prone, or incomplete data.
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an open source geocoder for openstreetmap data.
photon is an open source geocoder built for OpenStreetMap data. It is based on elasticsearch/OpenSearch - an efficient, powerful and highly scalable search platform.
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Search engine for address. Only address.
Addok will index your address data and provide an HTTP API for full text search.
It is extensible with plugins, for example for geocoding CSV files.
Used in production by France administration, with around 26 millions addresses. In those servers, full France data is imported in about 15 min and it scales to around 2000 searches per second.
- Addok @ GitHub.
- Conteneurs Addok pour Docker avec les données de références diffusées par la Base Adresse Nationale :fr: @ GitHub.
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A powerful Python package for integrating artificial intelligence with geospatial data analysis and visualization.
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TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data.
TorchGeo is a PyTorch domain library, similar to torchvision, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data.
Hexagonal hierarchical geospatial indexing system.
H3 is a geospatial indexing system using a hexagonal grid that can be (approximately) subdivided into finer and finer hexagonal grids, combining the benefits of a hexagonal grid with S2's hierarchical subdivisions.
sunrise, sunset, shadow length, solar eclipse, sun position, sun phase, sun height, sun calculator, sun movement, map, sunlight phases, elevation, Photovoltaic system, Photovoltaic
Your online toolkit for Sun and Shadow. Simulate sun shadows for any time and place on Earth.
Simulate, visualize and analyze sunlight and shadow in any modern browser using your own terrain, real-estate, and vegetation data and share it on the web.
An open-source JavaScript library for world-class 3D globes and maps 🌎
CesiumJS is an open source JavaScript library for creating world-class 3D globes and maps with the best possible performance, precision, visual quality, and ease of use. Developers across industries, from aerospace to smart cities to drones, use CesiumJS to create interactive web apps for sharing dynamic geospatial data.
NASA and IBM have teamed up to create an AI Foundation Model for Earth Observations, using large-scale satellite and remote sensing data, including the Harmonized Landsat and Sentinel-2 (HLS) data. By embracing the principles of open AI and open science, both organizations are actively contributing to the global mission of promoting knowledge sharing and accelerating innovations in addressing critical environmental challenges. With Hugging Face's platform, they simplify geospatial model training and deployment, making it accessible for open science users, startups, and enterprises on multi-cloud AI platforms like watsonx. Additionally, Hugging Face enables easy sharing of the pipelines of the model family, which our team calls Prithvi, within the community, fostering global collaboration and engagement.
Foursquare is the industry-leading platform for all things geospatial, from foundational building blocks to turnkey solutions.