Difference between revisions of "R Studio’s Spatial Capabilities going 3D!"

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== Purpose ==
 
== Purpose ==
 
This tutorial prominently centres on the spatial abilities of R Studio; an open software program with its own scripting language that is often used for data analysis, statistics and graphing of very large datasets. Throughout the studies of Carleton students, R Studio most likely has been used for its powerful statistical capabilities and graphing.
 
This tutorial prominently centres on the spatial abilities of R Studio; an open software program with its own scripting language that is often used for data analysis, statistics and graphing of very large datasets. Throughout the studies of Carleton students, R Studio most likely has been used for its powerful statistical capabilities and graphing.
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But the software can do so much more!
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'''But the software can do so much more!'''
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The spatial data package offers a wide range of tools that can take tables and create custom maps with a myriad of customization. By no means is this package an equivalent to ArcMap or other such dedicated mapping platforms but R can do many of the same things with their own advantages.
 
The spatial data package offers a wide range of tools that can take tables and create custom maps with a myriad of customization. By no means is this package an equivalent to ArcMap or other such dedicated mapping platforms but R can do many of the same things with their own advantages.
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Click [https://cran.r-project.org/web/packages/sp/sp.pdf] for more information on the sp package.

Revision as of 13:05, 17 December 2017

Purpose

This tutorial prominently centres on the spatial abilities of R Studio; an open software program with its own scripting language that is often used for data analysis, statistics and graphing of very large datasets. Throughout the studies of Carleton students, R Studio most likely has been used for its powerful statistical capabilities and graphing.

But the software can do so much more!

The spatial data package offers a wide range of tools that can take tables and create custom maps with a myriad of customization. By no means is this package an equivalent to ArcMap or other such dedicated mapping platforms but R can do many of the same things with their own advantages.

Click [1] for more information on the sp package.