Gabo Gaona's repositories
geocompr
Open source book: Geocomputation with R
r-tos
This code is useful to do scientometric analysis
hugo-future-imperfect-slim
Multilingual Blogging Theme for Hugo | Check the Wiki for Documentation
R-Hydrology-Tools
Training of data handling and descriptive statistics in R
labs
Rmd source files for the HarvardX series PH525x
hydroutils
Mirrored from gitlab repo: https://gitlab.com/gavg712/hydroutils
GSIF
:exclamation: This is a read-only mirror of the CRAN R package repository. GSIF — Global Soil Information Facilities. Homepage: http://gsif.r-forge.r-project.org/
QGIS_Rscripts
R scripts for QGIS
gdalUtils
:exclamation: This is a read-only mirror of the CRAN R package repository. gdalUtils — Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities Report bugs for this package: https://github.com/gearslaboratory/gdalUtils/issues
QGIS-Processing
Example scripts, algorithms etc
git-comun
Demostración de Git + GitHub + RStudio
fgeo
[Meta R-package on CRAN] Analyse forest diversity and dynamics
rSpatial
Collection of learning material for working with geospatial data within R
thesisdown
An updated R Markdown thesis template using the bookdown package
geomuseo
Shiny app
GeoFibra-FTTH-QGIS-plugin
Plugin para QGIS con el que podremos diseñar nuestras redes FTTH.
cmf
Catchment Modelling Framework, a hydrologic modelling toolbox
xaringan_columns
JavaScript macro for adding multiple columns to xaringan (.Rmd) slides
master-the-tidyverse
Course contents for Master the Tidyverse
biostat561
Course materials for BIOST561
incremental_breakdown
Model Code for the Paper "Incremental model breakdown to assess the multi-hypotheses problem"
sachax
Scripts desarrollados por el Grupo de Software Libre de IKIAM
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
pecan
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
LANDSAT-Download
Automated download of LANDSAT data from USGS website
RtutoR
Tutorial Apps for Learning R