Pinned Repositories
AtlasMamPor
Atlas of Mammals in Portugal
CoordinateCleaner
Automated flagging of common spatial and temporal errors in biological and palaeontological collection data, for the use in conservation, ecology and palaeontology.
course_handouts
Course handouts, e.g. package installation instructions and links to additional materials.
DeadCanMove
How Spatial Roadkill Patterns Change with Temporal Sampling Scheme
ecotrends
Spatio-temporal trends in habitat suitability from ecological niche models
extreme-invaders
fuzzySim
Fuzzy Similarity in Species Distributions
modEvA
Model Evaluation and Analysis
scripts
assorted scripts for assorted tasks
unpackaged
unpackaged R functions
AMBarbosa's Repositories
AMBarbosa/ecotrends
Spatio-temporal trends in habitat suitability from ecological niche models
AMBarbosa/AtlasMamPor
Atlas of Mammals in Portugal
AMBarbosa/extreme-invaders
AMBarbosa/unpackaged
unpackaged R functions
AMBarbosa/scripts
assorted scripts for assorted tasks
AMBarbosa/CoordinateCleaner
Automated flagging of common spatial and temporal errors in biological and palaeontological collection data, for the use in conservation, ecology and palaeontology.
AMBarbosa/course_handouts
Course handouts, e.g. package installation instructions and links to additional materials.
AMBarbosa/dbarts
Discrete Bayesian Additive Regression Trees Sampler
AMBarbosa/DeadCanMove
How Spatial Roadkill Patterns Change with Temporal Sampling Scheme
AMBarbosa/embarcadero
🌲🌉 Species distribution models with Bayesian additive regression trees
AMBarbosa/fuzzySim
Fuzzy Similarity in Species Distributions
AMBarbosa/modEvA
Model Evaluation and Analysis
AMBarbosa/files
AMBarbosa/geodata
download geographic data
AMBarbosa/gstat
Spatial and spatio-temporal geostatistical modelling, prediction and simulation
AMBarbosa/interactive_map_experiment
Publishing an interactive map
AMBarbosa/materials18
Workshop materials for 2018
AMBarbosa/ModelFollowUp
Following up on species distribution models
AMBarbosa/modevapp
AMBarbosa/predicts
Methods for spatial prediction
AMBarbosa/prereleases
(Versions of) functions to include/update in packages
AMBarbosa/sdmverse
sdmverse is a collaborative metapackage for listing all the metadata of the Species Distribution Modelling (SDM) packages. sdmverse includes a graphical interface available locally or online (see below). sdmverse integrates metadata from SDM packages and checks their validity against the CRAN metadata for perenity.
AMBarbosa/spocc
Species occurrence data toolkit for R
AMBarbosa/terra
R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html