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
