Data Viz Mockups

Big takeaways from the customer

Focus on individual plants! Showing the whole field would be nice to have but is now what the customer directly needs for his current research
Cesium has extreme limitations (5G max and difficult to containerize)
Use Streamlit and pydek or plotly
- Start with a python file use an entry point within the dockerfile
Pydek is used to generate plots and can be used for the 3D visualization aspect of the plants (point cloud layer, minimal code and can be integrated into streamlit)
- https://deckgl.readthedocs.io/en/latest/gallery/point_cloud_layer.html
- https://docs.streamlit.io/library/api-reference/charts/st.pydeck_chart
Data team will have to convert .ply files to .laz (this will be one container and the visualization will be another container) and tell us how big the data is
PSII: Photosynthetic efficiency of a plant (lower= less stress)
- Data team will have to map the plot characterization to the PSII data to get individual plant charts for the PSII graphs
Data is grouped by 6 sensors but we are only focusing on 3 (RGB, Thermal, PSII) in 2 csvs
Shows the data for one year (12/12/2019- 03/03/2020)
Start the application with all the plants then once one is selected, update the plots to show just that plant’s data
Each plant only has one treatment so only one color/ hue will be shown
Seaborn hue feature can be used for the treatment type

Mockups:

Application Opening Page:

After selecting a specific plant page:

StreamLit Mockup:

Older Ideas:

Sebastian’s Potree/Blender Mockup:

Amir’s Cesium Mockup: