Photo of an agricultural landscape in Eastern Uganda, by Madelon Lohbeck

Restoration has never been more important, with almost a third of the world’s land surface degraded. But what exactly is restoration? And how do we know if it works?

More than 1.5 billion of the world’s poorest people are directly affected ...

RStudio is a great environment for writing and R Markdown reports, manuscripts, blogs and other types of publications. It is particularly attractive for writing manuscripts that are reproducible (see for example: https://www.r-bloggers.com/composing-reproducible-manuscripts-using-r-markdown/).

However, it can be a bit daunting at first, so here's a simple template to get you started ...

Data visualisation 

Before working with your data it is important to know your data. some of the important informations are: What is the projection of your data, what is in the data, date and the author of the data. for more information kindly read:

http://landscapeportal.org/uploaded/data_vis.pdf

# Faith Musili

# R brownbag seminar November 10th, 2016

#Set your working directory

###Install package dplyr
install.packages("dplyr")

###Load dplyr package into R
library(dplyr)

###Read your csv data into R
data<-read.csv("datavis.csv")
class(data)
head(data)
tail(data)
dim(data)
colnames(data)


###Select function
#Select a ...

#####Setting working directory


setwd("/Users/FMusili/Documents/2.2")

#########Creating objects ##########################

n <- 150
n

58 -> n
n

x <- 1.4
x

X <- 19
X

################Importing Data of different formats############

######### read.csv---for csv
species_csv<-read.csv(file="/Users/FMusili/Documents/2.2/Data/species.csv") 
species_csv<-read.csv(file="Data/species.csv") 
class(species_csv)
dim(species_csv ...