Data Analytics using R
-- mapping statistical data: part 1
The world of visual and geospatial analysis continues to morph and evolve. So it is with R's geospatial analysis evolvement.
R (more about R) is an open source language and environment for statistical computing and graphics. R has many similarities with the Statistical Analysis System (SAS), but is free ... and widely used by an ever increasing user base. R is used throughout the ProximityOne Certificate in Data Analytics course.
For now, in the areas of mapping and geospatial analysis, R is best used in a companion role with Geographic Information System (GIS) software like CV XE GIS. Maybe it will always be that way. R's features to 1) perform wide-ranging statistical analysis operations and 2) to process and manage shapefiles and relate those and other data to many, many types of data structures are among R's key strengths.
Mapping with R
The following Web-based interactive map has been developed totally using R. Aside from satellite imagery, which can be added, this application has the look and feel of a Google maps application. Yet the steps to develop the application are far different and much closer to more traditional GIS software and data structures .. and there are no proprietary constraints. Mapping with R is not a geospatial panacea. See these considerations & FAQs. Join us in weekly Data Analytics Lab sessions to learn about developing this type of mapping application and geospatial analysis. See more about this application in narrative below the map.
Create & publish this interactive map or variation - details below