Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.2%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Greengraph function
Basic Info
- Host: GitHub
- Owner: Telthor
- License: mit
- Language: Python
- Default Branch: master
- Size: 137 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 10 years ago
· Last pushed over 10 years ago
Metadata Files
Readme
License
Citation
Readme.md
Greengraph
Greengraph is a software library that allows a user to calculate the proportion of green between two specified geographical locations using satellite imagery.
Installation
The library is installed by cloning the GitHub repository onto your computer, navigating to the setup.pyfile and running
(sudo) python setup.py install
Usage
The software can be run from the command line by running:
greengraph -b 'Start' -t 'End' -s 'Number of steps' -o 'out.png'
Owner
- Name: David Wise
- Login: Telthor
- Kind: user
- Repositories: 1
- Profile: https://github.com/Telthor
Citation (Citation.md)
#Citation The core programming of this library is taken from UCL's Research Software Engineering with Python course http://development.rc.ucl.ac.uk/training/engineering. I have created tests that check the functionality of this core programming and packaged it for release. Anyone wishing to use the code may do so according to the included License, please use the citation: D. Wise, Greengraph, (2016), GitHub repository, https://github.com/Telthor/Greengraph
GitHub Events
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Dependencies
setup.py
pypi
- argparse *
- geopy *
- matplotlib *
- numpy *
- requests *