The Ocean Health Index

#shinydevcon 2016-01-30

Ocean Health Index

The original app was developed with Ramnath's rCharts package. The RStudio leaflet package has since become available and offers some appealing new features to motivate migration, including use of TopoJSON for smaller storage and faster loading.
A common misunderstanding about OHI is that it's a "crude" assessment of ocean health from looking at the initial global study. However the spatial crudeness is based upon the underlying layers and the user chosen spatial units to which the layers get aggregated, whether at a country, state or even county level. In keeping with the hierarchical reductionist theme and to make the input layer values even more transparent, we want to make all input layers in their original spatial units visible, whether vector or raster. Many of these pressure layers, for instance, are based on 1 km global rasters. We hope to integrate raster tiling, a feature in development with the leaflet package, to show these and other original input data layers at the finest possible scale to fully communicate the strengths and weaknesses of the raw data.
Finally, we've found the flower plot to be a very effective visualization to communicate results. We've developed a D3 implementation of this which we'll make appear in the upper right for on hover events of the map when looking at the default output scores.

Huge thanks to the developers of:

Please visit us at: ohi-science.org

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