Pakillo

diverge0 <- function(p, ramp) {
  # p: a trellis object resulting from rasterVis::levelplot
  # ramp: the name of an RColorBrewer palette (as character), a character 
  #       vector of colour names to interpolate, or a colorRampPalette.
  require(RColorBrewer)
  require(rasterVis)
  if(length(ramp)==1 && is.character(ramp) && ramp %in% 
     row.names(brewer.pal.info)) {
    ramp <- suppressWarnings(colorRampPalette(brewer.pal(11, ramp)))
  } else if(length(ramp) > 1 && is.character(ramp) && all(ramp %in% colors())) {

Pakillo

## Working with Sentinel-2 bands in R


# Crear proyecto de RStudio


## Cargar paquetes necesarios

library(raster)

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## Working with Sentinel-2 bands in R


## Primeros pasos

# - Crear proyecto de RStudio
#
# - Guardar capas (ZIP) en la misma carpeta

Pakillo

### Title: Back to basics: High quality plots using base R graphics
###	An interactive tutorial for the Davis R Users Group meeting on April 24, 2015
###
### Date created: 20150418
### Last updated: 20150423
###
### Author: Michael Koontz
### Email: mikoontz@gmail.com
###	Twitter: @michaeljkoontz
###

Pakillo

### My favourite ggplot2 themes, always accessible ###
## just source this gist from any project ##


#####################################################################################

# Noam's default ggplot2 styling #####
# Source: https://github.com/noamross/noamtools/blob/master/R/theme_nr.R
theme_nr <-theme(text=element_text(family="Helvetica", size=14),
                 panel.grid.major.x=element_blank(),

Pakillo

library(ggplot2)
library(cowplot)
library(latex2exp)


#### PALEOTEMPERATURES ####

## Data from Hansen: http://www.columbia.edu/~jeh1/mailings/2012/20120508_ClimateSensitivity.pdf
## Available here: http://www.columbia.edu/~mhs119/Sensitivity+SL+CO2/Table.txt

Pakillo

library(sf)
library(ggspatial)
library(ggthemes)

coast <- rnaturalearth::ne_coastline(scale = "small", returnclass = "sp")

forests <- st_read("data/forestmap/cfc_gen.shp")
forest.redux <- rmapshaper::ms_simplify(forests)
forest.redux.sp <- as(forest.redux, "Spatial")

Pakillo

• assertr (https://github.com/tonyfischetti/assertr)
• validate (https://github.com/data-cleaning/validate)
• assertive (http://www.r-pkg.org/pkg/assertive)
• datacheckr (https://github.com/poissonconsulting/datacheckr)
• ensurer (https://github.com/smbache/ensurer)
• assertthat (https://github.com/hadley/assertthat)

Pakillo

#  Author network mapping for journal publications.
#  By: Simon Goring (final code: 10/2/2013)
# https://downwithtime.wordpress.com/2013/02/10/on-blogging-and-collaboration/
 
library(bibtex)
library(network)
library(RColorBrewer)
 
#  Read in the bibtex file
#  You can export this file from your google scholar network.

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Precipitation: Worldclim vs Iberian Climatic Atlas

Francisco Rodriguez-Sanchez 2017-05-16

library(knitr)
opts_chunk$set(cache = TRUE, message = FALSE)
library(raster)