Difference between revisions of "R Studio’s Spatial Capabilities going 3D!"
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== Purpose == |
== Purpose == |
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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! |
+ | '''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.