Data analytics for building healthy ecosystems
In Newfoundland, Canada, a “Black Bawk” is known in the common vernacular as the Sooty Shearwater (Puffinus griseus). This medium-sized Procellariiform (tube-nosed) seabird is one of the most numerous and wide-ranging of marine avifauna. It is the deepest diving of the tube-nosed seabirds, and engages in some of the most incredible foraging journeys of any avian species. The Black Bawk is one of the most amazing animals on earth, and symbolizes resilience and tenacity despite formidible odds.
Our mission is to provide data analytics and scientific support for organizations who are aiming to make our world more ecologically sustainable. We have vast experience with machine learning technologies for predictive analytics, web-based decision support tools, Geographic Information Systems and statistical analyses as well as on the ground data collection using end-to-end solutions. Our experience allows us to work across many fields and ecosystems from offshore wind farms in the North Atlantic to the icy continent of Antarctica.
We have expertise in:
Using the R Shiny or Django development environments we can build tools to host or deliver data to relevant stakeholders
We are experts with ArcMap, QGIS and R-based mapping applications and work within the PostgreSQL environment for data delivery
From terrestrial to marine ecosystems, Black Bawks can offer statistical and scientific support
With trained drone pilots on hand with the latest in DJI Mavic technology, we are able to help with many ecological surveying requirements
“If you are looking for a book that describes how ML has been used or could be used on your own spatial ecology data sets, I recommend this book. I also recommend it for readers looking for a book that provides thoughtful arguments about data analysis, in general, and where it could be moving in the future.”
John Carriger, Integrated Environmental Assessment and Management, Vol. 16 (1), 2020
Just a smattering of some of the great teams we’ve been able to support and work with so far