A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech

Efficient analysis of spatial biodiversity datasets for global portfolios

Practical introduction to Julia for modelling and data analysis in biodiversity and earth sciences

AI-powered platform for real-time ocean monitoring, biodiversity analysis, and compliance management, with predictive insights and interactive dashboards.

Course repository for Methods in Biodiversity Analysis

I just uncovered 10 FREE GIS data sources that can skyrocket any maps you touch. In this repo, you’ll see the exact steps to tap into each dataset using R—no fluff, all results. This is your personal blueprint for dominating geospatial analysis: from tackling biodiversity breakthroughs to completely rethinking city design

This project uses Multi-Criteria Decision Analysis (MCDA) to assess and rank project sites based on environmental impact. It analyzes synthetic data across criteria like pollution, water use, and biodiversity loss, providing a structured, data-driven approach to sustainable decision-making in environmental planning.

Create pipelines for preprocessing image data for biodiversity analysis.

Data processing and analysis for the NASA Biodiversity working group

Toolkit for automated phenotyping of biodiversity images using image analysis and ML.

parseGBIF package is designed to convert [Global Biodiversity Information Facility - GBIF](https://www.gbif.org/) plant specimen occurrence data to a more comprehensible format to be used for further analysis, e.g. spatial.

Biodiversity in National Parks Data Analysis with Python in Jupyter Notebook

Scientific reuse of openly published biodiversity information: Programmatic access to and analysis of primary biodiversity information using R. Nordic Oikos 2018, pre-conference R workshop. Venue: 18. feb. 2018 10:00 - 19. feb. 2018 16:00, Trondheim

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Tool for Biodiversity-Ecosystem Functioning Assessment by Network Analysis

AI-powered eDNA classification platform using Nucleotide Transformer for marine biodiversity analysis - taxonomic classification, novelty detection, interactive mapping & rich analytics

Prac notes and code for the Center for Biodiversity Analysis hosted workshop on the Gen3sis simulation software

Templates for P2P rocky and beach biodiversity data. Code for producing IPT and analysis files

A performant and efficient foundation model for DNA barcodes in biodiversity analysis.

Contains all code used for a meta-analysis on the effect of urbanization on biodiversity

A collection of scripts that support an analysis of the effects of cropland abandonment on biodiversity

Code for calculating zooplankton biodiversity metrics and replicating analysis of elevational and latitudinal diversity gradients by generalized linear mixed effect/multilevel models

R library for the analysis of spatial biodiversity data. Including tools to estimate climate from species coexistence including CRACLE and Thompson's Mutual Climatic Range technique.

Low cost IoT node for biodiversity monitoring of gardening applications with the Raspberry Pi Zero 2 W using Soundscape Analysis with BirdNet TensorFlow Lite Neural Network

BirdVision-India is an advanced AI system that automatically identifies Indian bird species by fusing computer vision and acoustic analysis. By analyzing both video footage and bird calls, it provides a robust and accurate tool for biodiversity monitoring and conservation in diverse environmental conditions.

The Beaver-Flood Event Detector (B-FED) is a Google Earth Engine script created by the Spring 2020 MA Massachusetts Water Resources team. It uses NASA Earth Observations, a MassGIS wetland polygon layer, citizen science Global Biodiversity Information Facility (GBIF) Data and remote sensing methodology to detect flooding events that are likely caused by beavers in Massachusetts, USA. The objective of this kit is to have an algorithm with conditional statements to determine for a given year if flooding, based on spectral signatures, caused by beavers has occurred. This is then filtered for a wetland layer and then inlaid with citizen science data of beaver observations from GBIF. The correlation of having flooding, along with reported beaver observations acts as a validation for the tool. B-FED is divided into three scripts: preprocessing, analysis, and visualization.

Amplicon-based biodiversity assessment, gap analysis, database building, and more!

code for analysis of fish biodiversity and stability

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Workflow for Compositional Dissimilarity and Biodiversity Turnover Analysis