Geographic_information_system
A foundational Geographic Information System project developed in Python, demonstrating basic GIS operations like handling spatial data, triangulation, and spatial analysis. This archived project serves as an early career milestone and a resource for those new to GIS programming.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Geospatial | 3,703 | 4 months ago | cc0-1.0 | |||||||
| Long list of geospatial tools and resources | ||||||||||
| Gridviz | 182 |  | 7 | a month ago | 74 | December 06, 2023 | 7 | eupl-1.2 | JavaScript | |
| A package for visualizing gridded data 🌐 | ||||||||||
| Rsgislib | 130 | 3 months ago | 3 | gpl-3.0 | C++ | |||||
| Remote Sensing and GIS Software Library; python module tools for processing spatial data. | ||||||||||
| Eodal | 84 | 5 months ago | 5 | November 24, 2023 | 7 | gpl-3.0 | Python | |||
| Earth Observation Data Analysis Library | ||||||||||
| Purple_air_api | 42 | 2 years ago | 1 | September 05, 2020 | 4 | gpl-3.0 | Python | |||
| Python package to get and transform PurpleAir data | ||||||||||
| Geospatial Data Analysis Python | 21 | 5 months ago | Jupyter Notebook | |||||||
| This repo contain the most common tools used in geospatial analysis using python! | ||||||||||
| Runkeepr | 10 | 2 years ago | 5 | R | ||||||
| Extract, plot, and analyse Runkeeper(TM) data. | ||||||||||
| Aestheta | 6 | 3 years ago | 33 | mit | Jupyter Notebook | |||||
| An Industrial Think Tank Focused on Developing and Promoting AI Technology for Geospatial Applications [Please note this group was formed as an academic exercise for educational purposes and does not represent a real world organization] | ||||||||||
| Geographic_information_system | 6 | 4 months ago | apache-2.0 | Python | ||||||
| A foundational Geographic Information System project developed in Python, demonstrating basic GIS operations like handling spatial data, triangulation, and spatial analysis. This archived project serves as an early career milestone and a resource for those new to GIS programming. | ||||||||||
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