geospatialdatascience VS app

Compare geospatialdatascience vs app and see what are their differences.

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geospatialdatascience app
14 1
460 23
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0.0 10.0
11 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Creative Commons Attribution 4.0 GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

geospatialdatascience

Posts with mentions or reviews of geospatialdatascience. We have used some of these posts to build our list of alternatives and similar projects.

app

Posts with mentions or reviews of app. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.
  • OpenStreetMap is in trouble – a critical take on Bing Map Builder
    7 projects | news.ycombinator.com | 6 Feb 2023
    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?

When comparing geospatialdatascience and app you can also consider the following projects:

landuse_without_buildings - OpenStreetMap: Find residential areas with too few buildings in them

every_door - A dedicated app for collecting thousands of POI for OpenStreetMap

geospatial-data-catalogs - A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

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.

osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.

coffeosm

felicette - Satellite imagery for dummies.

osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

MapComplete - An easy-to-use webapp to edit OpenStreetMap