qiang-yang-ecology Goto Github PK
Name: Qiang Yang
Type: User
Company: iDiv
Bio: Postdoctoral researcher in ecology
Qiang Yang's Projects
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
authorlist
repository for the R package "authorlist"
bayesian-stats-with-r
Material for a workshop on Bayesian stats with R
big_data_ecology
Materials for the Workshop "Big Data Ecology"
biomespecificresponsespublic
A public release of the code used in the paper "Tropical and Mediterranean biodiversity is disproportionately sensitive to land-use and climate change"
bipartite
repository for the bipartite R-package for network analysis
codyn
Community dynamics metrics
data_to_viz
Leading to the dataviz you need
enmsdm
Faster, better, smarter ecological niche modeling and species distribution modeling
folked.from.ourcodingclub.github.io
The main repository for the Coding Club website. I folked this repository from ourcodingclub.github
gbif_systematic_review
Archive of code and datasets for systematic review of GBIF-mediated literature 2003-2019
geocompr
Open source book: Geocomputation with R
lulcc
land use change modelling in R
outlierconf2021
⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.
paletteer
🎨🎨🎨 Collection of most color palettes in a single R package
papers
phylo
qiang-yang
r4sl
:chart_with_upwards_trend: Machine Learning from the perspective of a Statistician using R
ranalytics18
My work on Analytics and Research in Data Science
rtemis
Advanced Machine Learning and Visualization
rwos
R interface to Web of Science Web Services API
sinterval
stochasticity_structure
Public code to accompany "Integrating the underlying structure of stochasticity into community ecology"
tidytuesday
Official repo for the #tidytuesday project
treedata-book
:book: a complete reference book for treeio, tidytree and ggtree packages
yang.et.al.the.predictability.of.ecological.stability.in.a.noisy.world
R codes and data for Yang et al. 2019. Nature Ecology & Evolution.
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