neiljun

neiljun's Stars

• rmcelreath/stat_rethinking_2023

  Statistical Rethinking Course for Jan-Mar 2023

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• zeltox/Google-Drive-PDF-Downloader

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• eco4cast/Statistical-Methods-Seminar-Series

  Repository for code shared be presenters in the EFI hosted Statistical Methods Seminar Series

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• GeostatsGuy/GeostatsPy_Intro_Course

  Introduction to spatial data analytics and machine learning with GeostatsPy Python package

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• sylvainschmitt/SSDM

  Stacked Species Distribution Modelling R package

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• GeostatsGuy/geostatsr

  Geostatistical utilities and tutorial in R. For the tutorials I have included Rmarkdown html files.

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• IUCNN/IUCNN

  Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" species, for any taxon or geographic region of interest. https://iucnn.github.io/IUCNN/

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• iiasa/ibis.iSDM

  Modelling framework for creating Integrated SDMS

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• walterASEL/Walter-Datasets

  Datasets made available for exercises in Manual of Applied Spatial Ecology

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• ibartomeus/fundiv

  Functional diversity and Eveness indexes calculation

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• damariszurell/SSDM-JSDM

  Codes for Zurell et al. (2020) Testing species assemblage predictions from stacked and joint species distribution models. Journal of Biogeography 47: 101-113. DOI: 10.1111/jbi.13608.

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• LoiseauN/dimensionality

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• azizka/Workshop_Biodiversity_Data_in_Ecology_and_Biogeography

  Information, scripts and example data for the 'Biodiversity Data in Ecology and Biogeography' workshop at the Botanikertagung 2017 in Kiel. Please scroll down for more information and a preliminary schedule.

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• BertvanderVeen/IRSAE2021GLLVMworkshop

  GLLVM Workshop material for IRSAE 2021

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• marissalee/tutorials_communityAnalyses

  Collection of tutorials to analyze community data in R

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• jncc/sdms

  Functions to Generate Species Distribution Models using the JNCC SDM Framework

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• brasilbrasil/Ensemble_SDM

  This repository contains a set of r scripts that allow for ensemble species distribution modeling based on biomod2 package. It has build in parallel processing and many scripts for additional functionality such as output of rasters and jpegs for projections, nice looking ggplot figures from model evaluation, predictor importance, improved response curves. It also has a set of scripts for considering results across multiple species such as map of areas with largest number of potential species range gain, loss, etc.

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• damariszurell/Rcodes_MapNovelEnvironments_SDMs

  Inflated response curves and environmental overlap masks for species distribution models SDMs (R codes). Here you can download the R codes for inflated SDM response curves and environmental overlap masks introduced in Zurell et al. (2012) DDI. These simple functions facilitate visualisation of multi-dimensional SDM response and of model extrapolations to novel (=unsampled) environments. Inflated response curves are an extension of conventional partial dependence plots that show the effects of one variable on the response while accounting not only for the average effects of all other variables but also for minimum and maximum (and median and quartile) values. Thus, they are basically an abstracted 2D version of the multidimensional response surfaces. Their advantages are that (1) they are explicit about the shape of the response at different values of all other variables, and (2) make the responses clear if interactions are (implicitly or explicitly) included in SDMs. Environmental overlap masks compare two datasets (sampled data and prediction data, e.g. climate change scenario or different geographical area) and identify novel environments, meaning both environmental conditions beyond the sampled ranges of the single variables and novel combinations of environmental variables.

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• christianhof/BioScen1.5_MEM

  Macroecological models to predict future global vertebrate richness

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• DavidCarricondo/nn_ecology_workshop

  Materials for the neural networks in ecology workshop for the IRSAE summer school 2021

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• IanGBrennan/MonitorPhylogenomics

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• jtitusj/PythonMathMods

  Mathematical Modeling in Python

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• cm1788/Stability-of-multitrophic-communities-under-habitat-loss

  Simulation code for manuscript published in Nature Communications.

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• dmcglinn/mobr

  code for constructing and examining diversity curves

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• lgchumboldt/Mapping_Functional_Diversity

  Scripts to map and analyze maps of functional diversity

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• lgchumboldt/Mapping_phylogenetic_diversity

  Scripts to map phylogenetic diversity from IUCN maps or SDM´s

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• liufengyinxue/Functional-diversity-model

  Functional diversity models in ecology

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• MireiaValle/functional_diversity_training

  testing

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• TobiasRoth/FD-SDM

  Functional Diversity and species distribution models

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• TomNash/shinySDM

  Species Distribution Modeling in Shiny

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