geospatial-data-catalogs
app
geospatial-data-catalogs | app | |
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2 | 1 | |
482 | 23 | |
1.0% | - | |
9.5 | 10.0 | |
5 days ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
geospatial-data-catalogs
app
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OpenStreetMap is in trouble – a critical take on Bing Map Builder
Woah, your vision sounds very similar to the goals of an open-source web app I started building a few years ago. The idea was inspired by Cities Skylines but I started with a 2D approach since everything is much simpler than with 3D. The idea was to help urban planners fill sustainability gaps in their cities by showing which areas needed access to amenities like bus stops, daycare, grocery stores, and schools. The approach, as mentioned is to overlay buffers surrounding existing amenities, dissolve those buffers, and find gaps. There can even be an interactive component to show the impact of placing an amenity in a neighborhood, like those emojis that radiate outward when placing a public service in Cities Skylines. The inverse problem can easily be accommodated with the app, helping people find desirable neighborhoods for their next home.
I'd be glad to jumpstart the open-source project if I can find any contributors to help build the project.
https://github.com/SustainableUrbanDesign/app
What are some alternatives?
SatelliteCloudGenerator - A PyTorch-based tool to generate clouds for satellite images.
every_door - A dedicated app for collecting thousands of POI for OpenStreetMap
ee_repository_stats - Scraping, parsing, and analyzing every public Earth Engine repository
project-atlas-sao-paulo - A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.
CoastSat - Global shoreline mapping tool from satellite imagery
coffeosm
geospatialdatascience - Course materials for: Geospatial Data Science
MapComplete - An easy-to-use webapp to edit OpenStreetMap
felicette - Satellite imagery for dummies.
analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico
osmand_map_creation - OSM data + open address data compiled for use in OSMAnd