Mapping in R – Statistics.Com

In this online course you will be provided with a very flexible environment for statistical analysis, including a number of facilities to manipulate, visualise and analyse spatial information. Here, the emphasis is on visualising spatial data. A key advantage of mapping in R is that it is very easy to integrate the results of data analysis with the map creation process.

The key aims of the course are to:

• Appraise the use of R as a tool for creating maps, identifying its strengths and weaknesses
• Explain how spatial data may be written/read and visualised in R
• Consider how publication quality maps may be produced in R, based on the GISTools package
• Provide an overview of a number of diverse methods for visually representing geographical data in R

Course Program:

• Week 1: Spatial Objects in R
• Week 2: Map Components in R
• Week 3: Mapping Data From the Internet
• Week 4: Further Topics

Important Date:

May 06, 2016 to June 03, 2016

Duration: 

4 Weeks

Time Requirement:

About15 hours per week, at times of your choosing

Fees:

INR 37,740 (assuming $ = INR 60)

Full Time/Part Time:

Part Time

Pre-requisites:

Those who have a need to incorporate data with a spatial location into the R environment, appraise the use of packages in R to visualize such data (as opposed to use of a GIS) and to produce publication quality maps of these data, including mashing them onto public domain products such as Google Maps.

• R

• Chris Brunsdon