Spatial and spatial-temporal data have become pervasive. We are generating spatial data from route planners, sensors, mobile devices, and computers in different fields like transportation, agriculture, and social media. These data need to be analyzed to generate hidden insights that can improve business processes, help fight crime in cities, and much more.
Simply creating static maps is not enough. In this webinar we shall look at techniques of importing and exporting spatial data into R; understanding the foundation classes for spatial data; manipulation of spatial data; and techniques for spatial visualization. This webinar is meant to provide introductory knowledge of spatial data analysis in R needed to understand more complex spatial data modeling techniques.
We will cover the following topics:
-Why use R for spatial analysis
-Packages for spatial data analysis
-Types of spatial data
-Classes and methods in R for spatial data analysis
-Importing and exporting spatial data
-Visualizing spatial data in R

Kalyan Banga

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