A neural network classifier for urban soundscapes
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Updated
Jan 24, 2024 - Jupyter Notebook
A neural network classifier for urban soundscapes
Information concerning the development of research estimating the influence of anthropogenic factors on bird biodiversity in the East Bay region
biodivercity: Spatial predictions of biodiversity across city landscapes
Building a sustainable horticultural product based on local biogeography - this backup repository will be removed in Q1 2022. See the thorerismann/flora-buckets for the latest.
A repo to track version control and changes for project based workflow for meta-analysis of urban connectivity research
A controlled test of whether scale-free downscaled climate data predicts polygon-scale water stress better than coarse climate grids. It was run at two extents, with the satellite monitoring index built after that approach was shown not to work.
As part of a practical ecology course in the first year of biology at the ENS in Lyon, we used recorded strophes from different bird species to reconstruct audio files for broadcast to Eurasian blackcap in order to study their terrotorial behaviour in relation to both conspecific and heterospecific males.
Toolkit for focal site multi-scale studies in Python
Climate Roots | Where climate action takes root — an interactive map and catalogue of SOSAC’s regenerative urban garden in Monterrey.
Field-data and ML-readiness project tracking plant succession, disturbance response, repeatable photo monitoring, and vegetation change in urban edge habitats.
UrbanMind: knowledge-enhanced cross-domain urban ecological assessment and design integration
Code, data, and results for Richmond et al. Lack of connectivity around stormwater ponds impacts Odonate abundance and species richness. Manuscript in prep for submission to Landscape Ecology
Urban_Northern_Cardinal
Functional diversity of an urban campus under construction (Las Peñas, ESPOL, Guayaquil). R pipeline computing FRic, FEve, FDiv, FDis, Rao's Q and functional redundancy on Gower distances with Cailliez-corrected PCoA, plus null models, taxonomic contrast and abundance-weighting sensitivity. Flora and fauna analysed separately by design.
Code, data, and results for Richmond et al. (2025). Land-use history causes differences in park nighttime cooling capacity and forest structure. Published in Ecological Applications.
Multi-sensor analysis of urbanization and summer vegetation greenness across Shanghai, 2017–2025.
Supplementary data, analysis code and reproducibility workflow for the manuscript ‘Where wildlife is heard’.
Breitman Lab website
R analysis of bee foraging behavior at 15 St. Louis urban orchards (2022-2024): logistic regression and binomial GLMMs of behavior vs. species and urbanization. Presented at ESA.
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