This repository contains a list of tutorials on various Examind features.
If you have any questions, or if you want the latest docker image of Examind Community, please contact :
- 📙 OpenEO Jupyter Notebooks :
- 📋 Import data -> How to import my data in examind ?
- 📂 Resources -> Resources for OpenEO
(Expose external processes through WPS, Processes, OpenEO using Common Workflow Language)
- 📋 Pre-configuration of Examind if you use Podman Rootless -> Podman Rootless Conf
- 📋 Configuration of Examind (any cases) -> Examind Conf
- 📙 Tutorial with dockerized NDVI process (Jupyter Notebook) -> Dockerized NDVI process tutorial with CWL
- 📙 Tutorial for STAC data downloader (Juypyter Notebook) -> Dockerized External Stac tutorial with CWL
- 📂 Resources -> Resources for External Processes with CWL
- 📙 Example (Jupyter Notebook) -> Jupyter notebook with some WPS requests for Galaxy workflows
- 📄 Tutorial (PDF) -> Deploy and use Galaxy Workflows with Examind WPS
- 📂 Resources -> Resources for Galaxy Workflows through WPS
- 📙 Example (Jupyter Notebook) -> Jupyter notebook with NDVI Aggregation - How to import and request data ?
- 📄 Tutorial (PDF) -> Importing geotiff time series data into Examind Community
- 📼 Video (Italy Soil data aggregation through S3) -> Access link
- 📂 Resources -> Resources for Time Data Aggregation
- 📋 Import data -> How to import my data in examind ?
- 📋 Style data -> How to set a style to my data in examind ?
- 📋 WMS setup -> WMS setup example
- 📋 Terriamap configuration for Examind WMS -> Terriamap configuration example
- 🐱 Terriamap setup example -> FairEase Terriamap
You also have in this repository :
- A 🐋 docker-compose file (for examind-community) (you need to import the docker image before)
- A 📜 run.sh script (to run examind)
- A 📜 stop.sh script (to stop examind)
To generate the documentation using Jupyter-Book, you need to have Jupyter-Book installed. If you don't have it yet, you can install it using pip:
pip install -U jupyter-bookOnce you have Jupyter-Book installed, navigate to the root directory of the repository and run the following command:
jupyter-book build --htmlThis command will generate the documentation in the _build/html directory. You can open the index.html file in that directory with your web browser to view the generated documentation.
NOTE : If you only want to have the documentation "one time" using this repo you can run :
jupyter-book startTo open the generated documentation, you need to run a web server with the _build/html directory as the root.
You can use Python's built-in HTTP server for this purpose.
Navigate to the _build/html directory:
cd _build/htmlThen, start the HTTP server using Python:
python -m http.server 8000This command will start a web server on port 8000. You can access the documentation by opening your web browser and navigating to http://localhost:8000.