Using github as a tile server

In much of my work I use geospatial data (either vector or raster maps). However, visualizing this data easily for people unfamiliar with geographic information system (GIS) toolsets is often difficult as end users care about the result (a nice map) not learning visualization tools. In short, to communicate your work you need to present maps in an appealing way.

A mountain forest map

Within the context of the CLIMO COST action there was a need for a mountain forest map (EU wide if not global), as defined by FAO rules. These rules specify that forests above 300 m and with a considerable slope are “mountain forest”. I put together a Google Earth Engine worked example to generate this data.

Shitty values in science

Shitty values are tangible external goals largely outside your control. Chasing these goals will causes a lot of anxiety and leave you empty even when you accomplish them, as they do not solve real world problem.

Finalizing Jungle Rhythms processing

In the run-up to the ATBC 2018 meeting I’ve finally sat down and crunched through the final processing of the Jungle Rhythms dataset. I can now accurately convert all the citizen science annotations to coordinates on a grid and finally, estimates of tropical tree phenology. In total, while omitting ‘empty’ years, the project now has gathered phenology observations of 16417 site years of data, across 1237 species.


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