visualizing unstructured data via THREDDS and ESRI
In this user story we want to define how to visualize unstructured data on the map. The challenge is here that the fast services like WMS or RestServices do not work for unstructured data. So the idea is to generate a WFS from the unstructured data that is then made available at a certain zoom level (see #171). Hence, we need to define two automated work flows:
TODO: fix links
- Interpolate the unstructured data to a regular grid and visualize it via WMS on THREDDS
- Extract the polygons from the unstructured data (via psyplot) and automatically create a WFS
The crucial point here is how to make the generation of the WFS efficient and easy-to-use. We also need methods to automatically interpolate the unstructured grids. Ideally we can use jupyter notebooks on the ESRI portal for this.
As there are many open points, we will start this user story by collecting samples of unstructured data.
- Please send them to @philipp.sommer
- we will ask you for snippets how to interpolate this data to a structured grid
- @philipp.sommer will test the extraction of the polygons for the generation via WFS through psyplot (or xoak?)
We will also evaluate other techniques for the visualization of unstructured grids, namely · datashader
The development team will then develop a work flow how to automatize these transformations, present it to the team, revise it, and present it again.
Hence, the outcome of this User story are a bunch of Jupyter Notebooks that can be used to generate the services.
related User Story (Hereon internal access only): #190