Water Productivity and Water Accounting using WaPOR
Jupyter notebooks for Water Accounting and Water Productivity using WaPOR course.
https://github.com/wateraccounting/waporocw
Category: Sustainable Development
Sub Category: Education
Keywords
python wapor
Last synced: about 7 hours ago
JSON representation
Repository metadata
Jupyter notebooks for 'Water Accounting and Water Productivity using WaPOR' course (https://ocw.un-ihe.org/course/view.php?id=92)
- Host: GitHub
- URL: https://github.com/wateraccounting/waporocw
- Owner: wateraccounting
- License: cc0-1.0
- Created: 2020-06-30T14:14:17.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2022-11-07T12:51:38.000Z (over 2 years ago)
- Last Synced: 2025-04-18T19:36:20.865Z (9 days ago)
- Topics: python, wapor
- Language: Jupyter Notebook
- Homepage:
- Size: 543 MB
- Stars: 20
- Watchers: 38
- Forks: 10
- Open Issues: 3
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
Jupyter notebooks for 'Water Productivity and Water Accounting using WaPOR' open courseware
See the full course on IHE Delft OpenCourseWare
Authors: Bich Tran, Abebe Chukalla, Solomon Seyoum
Contents
Module 1: Introduction and Usage
- Unit 4 WaPOR spatial data analysis using Python packages
- Download WaPOR raster data
- Clip and resample
- Raster calculation
- Unit 5 WaPOR API
- Get catalog and available data table
- Get point and area time-series
- Get raster and crop raster
- Get custom Water Productivity raster
Set up Python environment
You must do this the first time you open the Jupyter Notebooks
Step 1: Download repository zipfile and unzip
OR
Clone in Git Bash (Git needs to be installed)
>>> git clone https://github.com/wateraccounting/WAPOROCW.git
Step 2: Open Anaconda prompt, change directory to folder ..\WAPOROCW-master
>>> cd ..PATH..\WAPOROCW-master\
Step 3: Create a new environment from environment.yml file
>>> conda env create
Start Jupyter Notebook
Step 1: Change directory to folder ..\WAPOROCW-master\notebooks
>>> cd ..PATH..\WAPOROCW-master\notebooks
Step 2: Then activate environment with required packages
>>> conda activate waporocw
Step 3: Start jupyter notebook
>>> jupyter notebook
Owner metadata
- Name: Water Accounting and Water Productivity
- Login: wateraccounting
- Email: [email protected]
- Kind: organization
- Description: Water Accounting and Water Productivity group, IHE Delft Institute for Water Education
- Website: http://wateraccounting.un-ihe.org/
- Location: Netherlands
- Twitter: wateraccounting
- Company:
- Icon url: https://avatars.githubusercontent.com/u/18393403?v=4
- Repositories: 23
- Last ynced at: 2024-05-29T13:59:47.715Z
- Profile URL: https://github.com/wateraccounting
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers metadata
Last synced: 6 days ago
Total Commits: 33
Total Committers: 5
Avg Commits per committer: 6.6
Development Distribution Score (DDS): 0.394
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| trngbich | 3****h | 20 |
| mohsen moghaddas | 7****y | 7 |
| Lauren Zielinski | z****1@u****g | 4 |
| LaurenZ-IHE | 6****E | 1 |
| Bich Tran | n****2@u****g | 1 |
Committer domains:
- un-ihe.org: 2
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 12
Total pull requests: 5
Average time to close issues: about 2 months
Average time to close pull requests: 7 days
Total issue authors: 6
Total pull request authors: 3
Average comments per issue: 0.58
Average comments per pull request: 0.2
Merged pull request: 5
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 0.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- trngbich (5)
- lahirujayakody (2)
- mnshrestha (2)
- bright-kobby (1)
- vincentngeno (1)
- KEdvane (1)
Top Pull Request Authors
- trngbich (2)
- LaurenZ-IHE (2)
- mr-holy (1)
Top Issue Labels
- enhancement (5)
- help wanted (2)
Top Pull Request Labels
- enhancement (1)
Dependencies
- gdal 2.3.*
- matplotlib 3.3.*
- netcdf4 1.4.*
- notebook 6.1.*
- numpy 1.19.*
- pandas 1.1.*
- pip 20.2.2
- pyshp 2.1.*
- python 3.7.*
- requests 2.24.*
- shapely 1.6.*
- xarray 0.17.*
Score: 4.74493212836325