Spatiotemporal biodiversity data of various forms are accumulating rapidly in near real-time. These include: incidental museum or citizen science point observations, survey data of varying protocols, sensor-based inventories, repeated surveys, movement data and others. Notably, all these data vary widely in their spatial scope (typically from meters to many kilometers), temporal scope (e.g., from minutes to months), and their associated extent/type of uncertainty. A vast and growing set of global remotely-sensed data and derived ecosystem characterizations offer tremendous opportunities for linking these biodiversity data to environmental data flows. However, these environmental signatures of biodiversity data often derived in an ad hoc and constrained manner.

In this workshop, we will take you through a new platform and toolset for fusing spatiotemporal biodiversity data and environmental data for ecological analysis. It leverages Map of Life (mol.org), EarthEnv, Chelsa and other projects to offer flexible biodiversity-environment intersections at scale.  We will have the the following activities: 1) upload a sample dataset of occurrence records, 2) select desired remotely sensed environmental variables, 3) ‘annotate’ occurrence data with environmental data, and visualize the resulting environmental ‘niche’ space in environment space. Participants can participate with their own laptop and bring their own data. Most of the demonstration will be in a browser, and no special software is required.