RCura

library(readr)
library(dplyr)

raw_df <- read_delim("5262_FH CAPE TOWN_3.TXT",
                      delim = ",",
                      col_names = FALSE)

code3 <- raw_df %>%
  filter(X1 == 3) %>%
  mutate(ID = 1:nrow(.)) %>%

RCura

<!-- $theme: gaia -->
<!-- template: gaia -->

---
# Histoire de la Cartographie
## ==Nouvelles sources et==<br/> représentations graphiques associées
### Robin Cura
#### Doctorant, UMR Géographie-cités

---

RCura

RCura

#!/bin/bash
cd /home/robin/gama17git/headless

experimentPath="/home/robin/sensitivity/simFEODAL_analyse_sensibilite_"
outputPath="/home/robin/myOutputs/sim"
xml=".xml"
# Cluster got 24 cores
# We launch each simulation on 2 cores, so, 8 simulations
# Each with 4Go of RAM (64 Go Total)
# Server

RCura

library(tidyverse) # tidyverse charge les packages les plus utiles issus de la logique "tidy",
# c'est-à-dire : dplyr, tidyr, readr et ggplot2 (entre autre)
# Si tidyverse n'est pas disponible, décommenter les ligne suivante

# library(dplyr)
# library(tidyr)
# library(readr)
# library(ggplot2)

RCura

RCura

---
title: "WebGLHeatmap-big"
output:
  html_notebook: default
---

## Data preparation

```{r data loading}
library(tibble)

RCura

---
title: "WebGLHeatmap-small"
output:
  html_notebook: default
---

## Data preparation

```{r data loading}
library(tibble)

RCura

---
title: "WebGLHeatmap-small"
output:
  html_notebook: default
---

## Data preparation

```{r data loading}
library(tibble)

RCura

---
title: "Leaflet.heat"
output: html_notebook
---

## Data preparation

```{r data loading}
library(tibble)
library(dplyr)