stemflow
Bird abundance model
A Python package for modeling and predicting bird abundance using citizen science data
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
17 stars
3 watching
1 forks
Language: Python
last commit: 10 days ago adaptive-spatio-temporal-exploratory-modelanimalanimal-movementbig-databiodiversitybiogeographybird-migrationbird-surveyebirdecologyecology-modellinggeospatialmachine-learningmovementmovement-ecologyornithologyspatio-temporal-analysisspatiotemporalspatiotemporal-dynamicsspecies-distribution-modeling
Related projects:
Repository | Description | Stars |
---|---|---|
birdflow-science/birdflowr | A package that predicts changes in bird distributions and generates synthetic migration routes using machine learning models. | 10 |
ciiram/birdpy | Developing machine learning and signal processing models to monitor biodiversity using bird sounds | 6 |
earth-chris/elapid | Software package for species distribution modeling using geospatial data and machine learning algorithms | 54 |
wildlife-dynamics/ecoscope | A software package for analyzing and visualizing wildlife movement data and environmental conservation data | 25 |
metno/pyaerocom | Tools for evaluating climate and air quality models using Earth observation data. | 26 |
hectornieto/pytseb | A Python-based framework for estimating evapotranspiration from remote sensing data using the Two Source Energy Balance model | 136 |
sjevelazco/flexsdm | Provides tools and functions for constructing species distribution models by preparing input data, modeling construction, and validation. | 52 |
geco-bern/rsofun | Tools for simulating ecosystem processes and model calibration in site-scale simulations. | 25 |
philipmostert/pointedsdms | Tools for building and evaluating integrated species distribution models from disparate datasets | 24 |
climdyn/qgs | A flexible Python framework for simulating the dynamics of atmospheric models in midlatitudes | 35 |
cornelllabofornithology/auk | A package for extracting and processing eBird data in R. | 137 |
alan-turing-institute/monitoring-ecosystem-resilience | Develops tools to analyze satellite imagery and simulate vegetation patterns for understanding ecosystem resilience | 23 |
ghislainv/forestatrisk | A Python package for modeling and forecasting deforestation risk in tropical regions using spatial analysis and machine learning techniques. | 117 |
adamlilith/enmsdmx | Tools and functions for modeling species distributions and niches using spatial data analysis | 24 |
birdnet-team/birdnet | A Python library for identifying bird species by their sounds using deep learning and acoustic monitoring. | 11 |