Presenter: Parmutia Makui
In this seminar you will learn about data manipulation using the tidyverse package dplyr
Last update on Nov. 11, 2019.
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 ...
Last update on Oct. 25, 2019.
Last update on Oct. 15, 2019.
Written byon Feb. 10, 2019 .
Last update on Feb. 10, 2019.
The Regreening Africa App is now online as a Beta version. This app is designed for data collection of data on various tree planting activities, including nurseries, tree planting and farmer managed natural regeneration. Such data is critically needed to map and assess the extent and effectiveness of land restoration activities in smallholder farming systems ...
Written by Training.on July 18, 2018 in
Last update on July 18, 2018.
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 ...
Last update on Jan. 15, 2018.
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 ...
Last update on Nov. 7, 2017.
Written by R.on Sept. 6, 2017 in
Last update on Sept. 6, 2017.
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 ...