Preliminary mapping and SDM
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Updated
Sep 26, 2017 - HTML
Preliminary mapping and SDM
Spatially explicit simulation of species distribution (theoretical ecology). WIP.
Nonlinear Gradient Nearest Neighbors -- a method for predicting multivariate species compositions from environmental variables based on individualistic but possibly coordinated species responses.
📓 Companion repository to Grenié et al. 2020 Published in Ecological Indicators
This is the code and data to replicate the analysis in Serebrennikov, Skougarevskiy (2023).
Estimating past distribution of crabeater seals in the East Antarctica
A reproducible code for modelling the suitability of macadamia in Malawi
Climate ecology analyses for my conference proceedings at the SICB '21 Meeting (Society for Integrative and Comparative Biology).
Workflow to fit niche models to species occurrence data using glmnet via maxnet package
🌐 Monitoring Ecosystem Changes and Functioning 🌎
R code for Mariana Orsini's MSc thesis
Species Distribution Model for predicting the occurrence of frogs in the region of Australia
In this Repository, The fundamentals of Datascience like python libraries and its exercises, Machine learning algorithms and lot more stuffs will be uploaded
Application of Taylor Diagrams to Ecological Niche Models/Species Distribution Models
This project relates to a methodological report on canton Bern forest fire modelling and mitigation strategies.
A repository for all code and data associated with "Predicting the In-Between: Present and Future Habitat Suitability of an Intertidal Euryhaline Fish".
Research in SDM Modeling using Machine Learning
Python package for correcting spatial irregularities in plant and animal species.
R package to give easy access to ALA plant occurrence data
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