sjevelazco
A forest engineer interested in science
Instituto de Biología Subtropical, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Misiones, Puerto Iguazú, Misiones, ArgentinaIBS (CONICET/UNaM), Argentina
Pinned Repositories
ENMTML
Create Ecological Niche Models with TheMetaLand
bdc
Check out the vignettes with detailed documentation on each module of the bdc package
bdc
Check out the vignettes with detailed documentation on each step of the BDC workflow
blockCV
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments.
data.table
R's data.table package extends data.frame:
flexsdm
Useful tools for constructing species distribution models
GRaF
Species distribution modelling using Gaussian random fields
Ligustrum_lucidum_modeling
Codes used for Ligustrum lucidum occurrence data cleaning, environmental data processing, and spatial distribution models.
MSDM
Methods to deal with overprediction of species distribution models
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.
sjevelazco's Repositories
sjevelazco/flexsdm
Useful tools for constructing species distribution models
sjevelazco/MSDM
Methods to deal with overprediction of species distribution models
sjevelazco/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.
sjevelazco/bdc
Check out the vignettes with detailed documentation on each step of the BDC workflow
sjevelazco/blockCV
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments.
sjevelazco/data.table
R's data.table package extends data.frame:
sjevelazco/GRaF
Species distribution modelling using Gaussian random fields
sjevelazco/Ligustrum_lucidum_modeling
Codes used for Ligustrum lucidum occurrence data cleaning, environmental data processing, and spatial distribution models.
sjevelazco/Markdown-Tutorial
A comprehensive guide to Markdown / Introduction to Markdown
sjevelazco/spatial_sp_traits
Functions and codes used in NSF project,
sjevelazco/raster
R raster package https://rspatial.github.io/raster/reference/raster-package.html
sjevelazco/raster_test
Provisional repository
sjevelazco/Rlof
:exclamation: This is a read-only mirror of the CRAN R package repository. Rlof — R Parallel Implementation of Local Outlier Factor(LOF)
sjevelazco/sjev
sjevelazco/skills-github-pages
My clone repository