Spatial Data Analysis and Modeling for Agricultural Development, with R - Workshop
This is a 5 day hands-on workshop on data science for agricultural development. It covers an introduction to the R software, and using R for data analysis and modeling, with an emphasis on spatial data. Case studies include the use of climate, soils, crop, and health and remote sensing data. You will learn how to integrate various data types and analytical approaches (e.g. machine learning and simulation modeling) into a single work flow.
The number of participants is limited. For full consideration apply by June 30, 2016.
August 15 - August 19, 2016Daily Schedule:
|1||Introduction to R||Introduction to R|
|2||Spatial Data with R (Introduction)||Spatial Data with R (Analysis)|
|3||Statistical Learning Methods||Remote Sensing|
Closest major airport is Kilamanjaro International Airport (JRO)
CostsThere is no cost for attending the workshop. Lodging and meals will be provided, and travel grants may be available upon request.
You must bring your own computer (laptop).Required software: