R
FORest management strategies to enhance the MITigation potential of European forests (FORMIT-M)
FORMIT-M is a widely applicable, open-access, simple and flexible, climate-sensitive forest management simulator requiring only standard forest inventory data as input. It combines a process-based carbon balance approach with a strong inventory-based empirical component.
PREBAS
PREBAS is a forest growth and ecosystem carbon balance model. In PREBAS three different models PRELES (PREdict Light-use efficiency, Evapotranspiration and Soil water), CROBAS (Tree growth and CROwn BASe from carbon balance), and YASSO (Yet Another Simulator of Soil Organic matter) are coupled together in order to predict the growth and carbon balance of the forest ecosystem. CROBAS provides estimates of LAI (Leaf Area Index) that is used in PRELES to compute gross primary production. GPP is then used by CROBAS to estimate forest growth. The stand structural variables and the biomass components of the forest are updated. Meanwhile, CROBAS estimates the litter production that is the input of YASSO.
Version control with git and GitHub
This course is intended as an introduction to git and control version systems in general. We will see how to use git efficiently in several scenarios (individual work, collaborations…) and explain the basics of the git workflow as well as also more advanced techniques (branches, merges, pull requests…). Finally, we will introduce how to use available online services (GitHub, GitLab…) that allows us to store and share our git repositories.
Ecosystem Modelling Facility · 2024-12-09
New EMF workflow available: parallel computing with R
The new workflow published shows the basics of parallel computation in R, with examples.
Ecosystem Modelling Facility · 2023-12-20
meteospain 0.1.4 is available!
meteospain R package, for accessing the Spanish meteorology stations data, has been updated to version 0.1.4, fixing a bug that misplaced RIA meteo stations coordinates.
Accessing and processing climate data with meteospain and meteoland R packages
The main aims of the course are to provide participants with (a) the ability to access and download daily/monthly climate data from different weather station networks around Spain, using the R package meteospain; (b) the basis to understand and correctly apply the weather interpolation and radiation estimation procedures available in the R package meteoland.
Introductory R Course
The aim of this course is to learn the basics of writing code in R and to become acquainted with some of the most useful R packages. The first part explains R programming basic concepts (object types, conditional execution and loops). The second part of the course delves into the tidyverse, with emphasis in data transformation (dplyr) and visualization (ggplot2)..
Ecosystem Modelling Facility · 2023-03-23
meteospain 0.1.2 is available!
meteospain R package, for accessing the Spanish meteorology stations data, has been updated to version 0.1.2 and now allows for downloading monthly and yearly data from AEMET.
Ecosystem Modelling Facility · 2023-03-01
meteoland 2.0.0 is available!
meteoland R package, which provides utilities to estimate daily weather variables at any position over complex terrains has been updated to version 2.0.0
Process-based forest modelling using the medfate R package
The main aims of the course are (a) to provide participants with the basis to understand the formulation and parameterization of biophysical, physiological and ecological processes in the models of forest water balance, carbon balance and forest dynamics included in the R package medfate; (b) to show how to use ‘medfate’ and companion R packages to prepare model inputs, perform simulations and inspect the results.
Introduction to R Spatial
The aim of this course is to become familiar working with spatial data in R. In the first half of the course we will show how we can load and inspect vector and raster data from within your R session. This also includes basic vector operations, like e.g. spatial joins and filters, raster algebra (merge, extract…) as well as some basic visualization techniques. In the second half of the course, we will illustrate the use of spatial data in statistical analysis like e.g. raster interpolation, point pattern analysis and krigging.
Ecosystem Modelling Facility · 2022-02-08
meteospain available!
meteospain, the R package to access the data of spanish meteorology stations is now available via github.
