varmer

Varmer is an R library for merging satellite-based or model-based gridded images with ground-based observations, using a Variational Merging Approach (Ulloa et al. 2018).

Bugs / comments / questions / collaboration of any kind are very welcomed.

Installation

Installing the latest stable version from CRAN:

install.packages("VARMER")

A simple first application:

Loading required packages:

library(zoo)
library(sf)
library(raster)
library(tictoc)
library(cluster)
library(parallel)
library(ggplot2)
library(VARMER)

Loading times series and metadata of ground observations:

data(ecuador.tmax.zoo)
data(ecuador.tmax.stations.df)

Loading satellite-based/model-based datasets:

data(ecuador.tmax.wrf.out)

Running VARMER

varmer.ts(x=ecuador.tmax.zoo, x.metadata=ecuador.tmax.stations.df,
          v=ecuador.tmax.wrf.out, lat='LAT', lon='LON',
          drty.out="~/Documentos/dataset_ecuador")

Reporting bugs, requesting new features

If you find an error in some function, or want to report a typo in the documentation, or to request a new feature (and wish it be implemented :) you can do write to lenin.gcta@gmail.com.

Citation

To cite VARMER in publications use:

Ulloa, J., Samaniego, E., Campozano, L., & Ballari, D. (2018). A variational merging approach to the spatial description of environmental variables. Journal of Geophysical Research: Atmospheres, 123. https://doi.org/10.1002/2017JD027982.