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@@ -18,7 +18,7 @@ knitr::opts_chunk$set(echo = TRUE, | |
library(loadeR.ECOMS) | ||
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## ---- eval=FALSE--------------------------------------------------------- | ||
# devtools::install_github("SantanderMetGroup/[email protected].7") | ||
# devtools::install_github("SantanderMetGroup/[email protected].8") | ||
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## ------------------------------------------------------------------------ | ||
library(transformeR) | ||
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--- | ||
title: "Seasonal Predictions of Fire Weather Index: Paving the Way for their operational applicability in Mediterranean Europe" | ||
subtitle: "Climate Services paper, 2017. Companion R examples" | ||
subtitle: "Companion R examples of the paper published in Climate Services (2017, DOI:10.1016/j.cliser.2017.04.001)" | ||
author: "J. Bedia & M. Iturbide" | ||
date: "`r Sys.Date()`" | ||
abstract: | | ||
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@@ -65,7 +65,7 @@ library(loadeR.ECOMS) | |
The package `transformeR` allows performing climate data transformations, including Principal Component/EOF analysis, subsetting, aggregation, regridding/interpolation... In this vignette, the subsetting, aggregation, detrending and visualization capabilitites of `transformeR` will be used. | ||
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```{r, eval=FALSE} | ||
devtools::install_github("SantanderMetGroup/[email protected].7") | ||
devtools::install_github("SantanderMetGroup/[email protected].8") | ||
``` | ||
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```{r} | ||
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@@ -12,7 +12,7 @@ | |
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<meta name="author" content="J. Bedia & M. Iturbide" /> | ||
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<meta name="date" content="2017-04-04" /> | ||
<meta name="date" content="2017-04-07" /> | ||
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<title>Seasonal Predictions of Fire Weather Index: Paving the Way for their operational applicability in Mediterranean Europe</title> | ||
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@@ -79,9 +79,9 @@ | |
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<h1 class="title toc-ignore">Seasonal Predictions of Fire Weather Index: Paving the Way for their operational applicability in Mediterranean Europe</h1> | ||
<h3 class="subtitle"><em>Climate Services paper, 2017. Companion R examples</em></h3> | ||
<h3 class="subtitle"><em>Companion R examples of the paper published in Climate Services (2017, <a href="DOI:10.1016/j.cliser.2017.04.001" class="uri">DOI:10.1016/j.cliser.2017.04.001</a>)</em></h3> | ||
<h4 class="author"><em>J. Bedia & M. Iturbide</em></h4> | ||
<h4 class="date"><em>2017-04-04</em></h4> | ||
<h4 class="date"><em>2017-04-07</em></h4> | ||
<div class="abstract"> | ||
<p class="abstract">Abstract</p> | ||
<p>This is a worked example that reproduces the steps followed in Bedia et al. 2017 using the R-package <code>fireDanger</code>, that contains functions for computing the different components of the Fire Weather Index System (FWI, van Wagner 1987) from station and numerical climate model data.</p> | ||
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@@ -113,7 +113,7 @@ <h2>Installing the R Climate Processing Bundle from the Santander MetGroup</h2> | |
<p>In case any problems arise with the installation at this point, see this <a href="https://github.com/SantanderMetGroup/loadeR/wiki/Installation">help guide</a> at the loadeR’s wiki page.</p> | ||
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(loadeR.ECOMS)</code></pre></div> | ||
<p>The package <code>transformeR</code> allows performing climate data transformations, including Principal Component/EOF analysis, subsetting, aggregation, regridding/interpolation… In this vignette, the subsetting, aggregation, detrending and visualization capabilitites of <code>transformeR</code> will be used.</p> | ||
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">devtools::<span class="kw">install_github</span>(<span class="st">"SantanderMetGroup/[email protected].7"</span>)</code></pre></div> | ||
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">devtools::<span class="kw">install_github</span>(<span class="st">"SantanderMetGroup/[email protected].8"</span>)</code></pre></div> | ||
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(transformeR)</code></pre></div> | ||
<p>The package <code>downscaleR</code> implements several methods of bias correction and perfect-prog downscaling. It will be used for the bias-correction experiment illustrated in the article.</p> | ||
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">devtools::<span class="kw">install_github</span>(<span class="st">"SantanderMetGroup/[email protected]"</span>)</code></pre></div> | ||
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@@ -416,25 +416,24 @@ <h1>Session Information</h1> | |
## [5] visualizeR_0.2-1 sm_2.2-5.4 | ||
## [7] downscaleR_2.0-1 loadeR.ECOMS_1.2.2 | ||
## [9] loadeR_1.0-7 loadeR.java_1.1-0 | ||
## [11] rJava_0.9-8 transformeR_0.0.7 | ||
## [11] rJava_0.9-8 transformeR_0.0.8 | ||
## [13] abind_1.4-5 | ||
## | ||
## loaded via a namespace (and not attached): | ||
## [1] Rcpp_0.12.10 plyr_1.8.4 bitops_1.0-6 | ||
## [4] tools_3.3.3 vioplot_0.2 boot_1.3-17 | ||
## [7] digest_0.6.9 evd_2.3-2 evaluate_0.10 | ||
## [10] memoise_1.0.0 lattice_0.20-34 Matrix_1.2-8 | ||
## [10] memoise_1.0.0 lattice_0.20-35 Matrix_1.2-8 | ||
## [13] yaml_2.1.14 parallel_3.3.3 spam_1.4-0 | ||
## [16] akima_0.6-2 withr_1.0.0 stringr_1.0.0 | ||
## [19] raster_2.5-8 knitr_1.15.1 mapplots_1.5 | ||
## [22] fields_8.10 devtools_1.12.0 maps_3.1.1 | ||
## [25] rprojroot_1.2 grid_3.3.3 dtw_1.18-1 | ||
## [28] pbapply_1.3-1 rmarkdown_1.3 sp_1.2-4 | ||
## [31] magrittr_1.5 scales_0.4.1 CircStats_0.2-4 | ||
## [34] backports_1.0.5 htmltools_0.3.5 MASS_7.3-44 | ||
## [37] colorspace_1.2-6 proxy_0.4-17 stringi_1.0-1 | ||
## [40] munsell_0.4.3 RCurl_1.95-4.8 verification_1.42 | ||
## [43] RcppEigen_0.3.2.9.1</code></pre> | ||
## [19] knitr_1.15.1 mapplots_1.5 fields_8.10 | ||
## [22] devtools_1.12.0 maps_3.1.1 rprojroot_1.2 | ||
## [25] grid_3.3.3 dtw_1.18-1 pbapply_1.3-1 | ||
## [28] rmarkdown_1.3 sp_1.2-4 magrittr_1.5 | ||
## [31] scales_0.4.1 CircStats_0.2-4 backports_1.0.5 | ||
## [34] htmltools_0.3.5 MASS_7.3-44 colorspace_1.2-6 | ||
## [37] proxy_0.4-17 stringi_1.0-1 munsell_0.4.3 | ||
## [40] RCurl_1.95-4.8 verification_1.42 RcppEigen_0.3.2.9.1</code></pre> | ||
<hr /> | ||
</div> | ||
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Original file line number | Diff line number | Diff line change |
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@@ -1,6 +1,6 @@ | ||
--- | ||
title: "Seasonal Predictions of Fire Weather Index: Paving the Way for their operational applicability in Mediterranean Europe" | ||
subtitle: "Climate Services paper, 2017. Companion R examples" | ||
subtitle: "Companion R examples of the paper published in Climate Services (2017, DOI:10.1016/j.cliser.2017.04.001)" | ||
author: "J. Bedia & M. Iturbide" | ||
date: "`r Sys.Date()`" | ||
abstract: | | ||
|
@@ -65,7 +65,7 @@ library(loadeR.ECOMS) | |
The package `transformeR` allows performing climate data transformations, including Principal Component/EOF analysis, subsetting, aggregation, regridding/interpolation... In this vignette, the subsetting, aggregation, detrending and visualization capabilitites of `transformeR` will be used. | ||
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```{r, eval=FALSE} | ||
devtools::install_github("SantanderMetGroup/[email protected].7") | ||
devtools::install_github("SantanderMetGroup/[email protected].8") | ||
``` | ||
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```{r} | ||
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