Authors: Bich Tran, Abebe Chukalla, Solomon Seyoum

• 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

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

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