Projecting Rasters for Plotly Mapbox Plots

I like using Plotly to create interactive plots and maps straight from Python. I find it more intuitive than Bokeh’s API. When combined with Plotly’s sister library Dash, the pair can be very powerful in creating both interactive and dynamic web based tools and visualizations.

While Bokeh has some native Datashader integration, including in the mapping components, the Plotly Mapbox mapping backend relies on Mapbox’s own image overlay capability to display arbitrary Datashader outputs. Plotly has very helpful documentation and includes this use case as an example.

sci-wms

https://slides.com/alexandercrosby/sci-wms

LarvaMap

LarvaMap is a distributed parallel lagrangian transport model for larvae that includes customizable biological behavior.

The idea behind LarvaMap was to make it easy for researchers everywhere to use sophisticated larval transport models to explore and test hypotheses about the early life of marine organisms.

LarvaMap integrates four components: an ocean circulation model, a larval behavior library, a python Lagrangian particle model, and a web-system for running the transport models.