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
Last update on March 30, 2017.
Download the datavis csv here
# 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 ...
Last update on March 30, 2017.
#####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 ...
Last update on March 30, 2017.
Last update on March 30, 2017.
A community best understands its resources, the specific locations and seasonal variations of grazing resources. It is with this knowledge that the GeoScience Lab in collaboration with International Union for Conservation of Nature (IUCN), planned and executed a community-based resource mapping exercise for Hurri hills and Shurr landscapes in Marsabit County. Historically, both landscapes were ...
Written by Biodiversity, Land Degradation.
on March 30, 2017 inLast update on March 30, 2017.
Working with nature: tropical
forest regrowth and its potential for mitigating climate change
The Bonn challenge aims to restore 350 million hectares of
degraded land by 2030 of which currently almost 100 million hectares has been
committed through various initiatives. Restoration is a global priority; not
only to restore the productivity of degraded and unproductive ...