BlasBenito
PhD in Computational Ecology, Spatial Data Scientist, and Team Leader at @BiomeMakers
Somewhere in the beach
BlasBenito's Stars
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
k-sys/covid-19
A collection of work related to COVID-19
tdsmith/aRrgh
A newcomer's (angry) guide to data types in R
aranja/rakning-c19-app
App that helps to analyse individuals’ travel and trace their movements when cases of infection arise.
Pakillo/R-GIS-tutorial
Spatial data in R: using R as a GIS
thengl/GeoMLA
Machine Learning algorithms for spatial and spatiotemporal data
wlandau/learndrake
An interactive free online short course on the drake R package
mattansb/Structural-Equation-Modeling-foR-Psychologists
Lesson files used in the Structural Equation Modeling for Psychologists.
neurodata/SPORF
This is the implementation of Sparse Projection Oblique Randomer Forest
ErikKusch/KrigR
An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).
davharris/mcmc-tutorial
jduckles/dsskills
A skills matrix for Applied Data Science in Research
JGCRI/RCMIP5
R scripts for processing CMIP5 data
oharar/PointedSDMs
timcdlucas/statsforbios
Code snippets for twitter handle @statsforbios
boyanangelov/awesome-sdm
A curated list of awesome species distribution modeling frameworks, libraries and software.
CSHoggard/-Eastern-Europe-Tanged-Points
Data and code to accompany Ivanovaite et al. (2019)
vinc/pollen.vinc.cc
Chart the European Pollen Database 🌼
boyanangelov/exmap
exmap: Explainable Maps
boyanangelov/sdmexplain
Explainable Species Distribution Modeling
richardjtelford/Covid19-SDM
Re-analysis of Araújo & Naimi (2020) covid19 SDM pre-print
davharris/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)