Species accumulation curves with GBIF SQL downloads

With GBIF’s new SQL downloads feature, it is now possible to easily create useful custom metrics. In this post, I will create species accumulation curves for various countries/areas using GBIF SQL downloads and R. GBIF now has a new repository, Community Metrics, for collecting input from the GBIF community on the creation of data products derived from GBIF-mediated data that can complement those already provided through GBIF’s data analytics. The goal of this work is to produce new or further develop existing metrics, indicators and time series (trend) data products to support decision making. A species accumulation curve is a plot of the total cumulative running total species in a region. These curves are useful for assessing whether more sampling is likely to yield more knowledge of a region. For example, if the curve is increasing rapidly, it is likely that the region is undersampled for the group, and there could be data gaps. Conversely, if the curve is flattening out, it is likely that the region is well sampled for the group.

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Understanding Google Earth Engine (GEE) and Its Python API

Google Earth Engine (GEE) is a cloud-based platform designed to process and analyze vast amounts of geospatial data. With access to a rich archive of remote sensing imagery, climate datasets, and geographic information, GEE empowers researchers, conservationists, and policymakers to address critical environmental and biodiversity challenges. This primer introduces GEE, its Python API, and how GBIF users can leverage these tools for biodiversity informatics.

Tutorial using Google Earth Engine with GBIF mediated occurrences

In this tutorial, we explored how to integrate remote sensing data with biodiversity observations to analyze the relationships between environmental factors and species occurrences. Specifically, we focused on analyzing Land Surface Temperature (LST) over time and its relationship to observations of the Northern Cardinal (Cardinalis cardinalis), a well-known songbird species.

Patient and Persuasive: How Florence Nightingale conveyed data insights to all