Generate Isochrones Clear

This plot displays the relationship between the number of observations and the species richness. Use this visualization to understand data coverage and biodiversity trends.

App Summary (Fill out with RSF data working group):

This application allows users to either click on a map or geocode an address to generate travel-time isochrones across multiple transportation modes (e.g., pedestrian, cycling, driving, driving during traffic). It retrieves socio-economic data from precomputed Census variables, calculates NDVI, and summarizes biodiversity records from GBIF. Users can explore information related to biodiversity in urban environments, including greenspace coverage, population estimates, and species diversity within each isochrone.

Created by:

Diego Ellis Soto Carl Boettiger, Rebecca Johnson, Christopher J. Schell

Contact Information: diego.ellissoto@berkeley.edu

Reimagining San Francisco (Fill out with CAS):

Reimagining San Francisco is an initiative aimed at integrating ecological, social, and technological dimensions to shape a sustainable future for the Bay Area. This collaboration unites diverse stakeholders to explore innovations in urban planning, conservation, and community engagement. The Reimagining San Francisco Data Working Group has been tasked with identifying and integrating multiple sources of socio-ecological biodiversity information in a co-development framework.

Ensuring equitable access to biodiversity is essential for human well-being, ecological resilience, and global policy decisions related to conservation. Areas with higher biodiversity can support ecosystem services including pollinators, moderate climate extremes, and provide cultural, recreational, and health benefits to local communities. Recognizing that cities are particularly complex socio-ecological systems facing both legacies of sociocultural practices as well as current ongoing dynamic human activities and pressures. Incorporating multiple facets of biodiversity metrics alongside variables employed by city planners, human geographers, and decision-makers into urban planning will allow a more integrative lens in creating a sustainable future for cities and their residents.

Total unique species found within the user-generated isochrone. We then compare that value to the distribution of unique species counts across all census block groups, converting that comparison into a percentile ranking (Polish this, look at the 15 Minute city). A higher percentile indicates greater biodiversity within the chosen area, relative to other parts of the city or region.

• Add impervious surface
• National walkability score
• Social vulnerability score
• NatureServe biodiversity maps
• Calculate cold-hotspots within aggregation of H6 bins instead of by census block group: Ask Carl
• Species range maps
• Add common name GBIF
• Partner orgs
• Optimize speed -> store variables -> H-ify the world?
• Brainstorm and co-develop the biodiversity access score
• For the GBIF summaries, add an annotated GBIF_sf with environmental variables so we can see landcover type association across the biodiversity within the isochrone.