Category archives: Training

ICRAFUseR: Introduction_Reading_data_into_R

Last update on Nov. 21, 2019.





Presenter: Aida Bargues Tobella



Presentation Recording:



Presentation Materials:


Download script here


Download the Data folder

ICRAFUseR: Introduction to Machine Learning in R

Last update on Nov. 11, 2019.

  • Sebastian Palmas
  • Kevin Oluoch

This is hands-on workshop is meant to introduce you to the basics of machine learning in R: more specifically, it will show you how to use R to work well known machine learning algorithms, including unsupervised (k-means clustering) and supervised methods (such as k-nearest neighbours, SVM, random forest).

There is ...

Continue reading

ICRAFUseR: Introduction to R

Last update on Oct. 25, 2019.

Presenter: Faith Musili

Topics Covered:

  • What is R Programming language?
  • Why Learn R?
  • Who uses R?
  • R communities and groups
  • What is Rstudio?
  • Where to start
  • R packages
  • Data types in R
  • Good Practices when programming in R
  • Basic R

Presentation Materials:


ICRAFUseR: Introduction to mixed effects models in R

Last update on Oct. 15, 2019.


Tor-G. Vagen



Building forest-water knowledge and capacity for Forest and Landscape Restoration in Ethiopia

Last update on July 18, 2018.

Building forest-water knowledge and capacity for Forest and Landscape Restoration in Ethiopia

        
Last month, WeForest, FAO’s Forest and Water Programme, and GIZ delivered a capacity-building workshop on forest and water in Mekelle, Ethiopia. ICRAF’s GeoScience Lab was involved in the organisation and delivery of the workshop through Aida Bargues Tobella, who was one of the facilitators.

The workshop, entitled ‘Building forest-water knowledge and capacity for ...

Continue reading

Introduction to R markdown - 1

Last update on April 27, 2017.

Tree growth analysis

Continue reading

GIS Seminar part one

Last update on March 30, 2017.

GIS Seminar: Part 2

Last update on March 30, 2017.

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


R seminar series section 2 # 3

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 ...

Continue reading

R seminar series section 2 #2

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 ...

Continue reading

  • Page 1 of 2
  • 1
  • 2