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## Using {biscale} to plot bivariate raster maps

library(ggplot2)
library(biscale)
library(cowplot)
library(raster)
#> Loading required package: sp

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# Install R latest version: https://cloud.r-project.org/

# Install RStudio latest version: https://www.rstudio.com/products/rstudio/download/#download

# Install R packages below:

install.packages("remotes")

install.packages("workflowr")
remotes::install_github("benmarwick/rrtools")

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library(ggplot2)

t <- 1:100  # create time sequence

# warming trend, constant variance
clima <- data.frame(t = t,
                    temp = rnorm(100, 15 + 0.03*t, sd = 1))

# warming trend + increasing variance
clima <- data.frame(t = t,

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---
title: "Having separate reference lists in an Rmarkdown document"
author: "F. Rodriguez-Sanchez"
output:
  github_document:
    pandoc_args: --lua-filter=multiple-bibliographies.lua
bibliography_main: main.bib
bibliography_suppl: suppl.bib
---

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https://stackoverflow.com/a/58679929

See also 

http://latex-beamer-class.10966.n7.nabble.com/Hiding-frames-td907.html

https://tex.stackexchange.com/questions/200151/remove-frame-from-presentation

https://tex.stackexchange.com/questions/200151/remove-frame-from-presentation

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())) {

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## 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

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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

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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")