SDMvspecies is R package to create virtual species (virtual data or artificial data) for SDM (Species Distribution Modelling)
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Updated
Dec 30, 2015 - R
SDMvspecies is R package to create virtual species (virtual data or artificial data) for SDM (Species Distribution Modelling)
Web application for specie distribution modelling using maxent classifier
Preliminary mapping and SDM
A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.
Code for the generation of a venomous snake vulnerability surface.
Research in SDM Modeling using Machine Learning
Nonlinear Gradient Nearest Neighbors -- a method for predicting multivariate species compositions from environmental variables based on individualistic but possibly coordinated species responses.
🌼🐝 Bayesian joint species distribution models with networks 🐝🌼
Elevational variation in tropical trees analysis
Website of the Tundra Nunavik project
Workshop on Introduction to Species Distribution Modelling, devolped by Pedro Henrique Braga and Julia Nordlund.
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.
Species Distribution Model Identification Tool
Ecological Niche Modelling Using Deep Learning
Data analysis pipeline for species distribution models of threatened and endemic vertebrates
Explainable Species Distribution Modeling
A set of high level functions to provide easy training and evaluation of Maxent species distribution models.
A curated list of awesome species distribution modeling frameworks, libraries and software.
Submission to the GeoLifeCLEF 2019 Species Recommendation Challenge
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