R Studio's Spatial Capabilities - Revision history

Smitch: /* Assessing Temporal Change from 2006 to 2016 */

2019-10-29T00:40:53Z

Assessing Temporal Change from 2006 to 2016

MichaelWray: /* Results */

2019-10-01T23:15:45Z

Results

MichaelWray: /* Introduction */

2019-10-01T22:55:46Z

Introduction

MichaelWray: /* Methods */

2019-10-01T22:54:22Z

Methods

MichaelWray: /* Methods */

2019-10-01T22:52:44Z

Methods

MichaelWray: /* Methods */

2019-10-01T22:52:13Z

Methods

MichaelWray: /* Assessing Temporal Change from 2006 to 2016 */

2019-10-01T22:47:41Z

Assessing Temporal Change from 2006 to 2016

MichaelWray: /* Assessing Temporal Change from 2006 to 2016 */

2019-10-01T22:45:51Z

Assessing Temporal Change from 2006 to 2016

MichaelWray: /* Spatial R Packages */

2019-10-01T22:43:53Z

Spatial R Packages

MichaelWray: /* Introduction */

2019-10-01T22:40:13Z

Introduction

@@ Line 132: / Line 132: @@
 ===Assessing Temporal Change from 2006 to 2016===
-This tutorial showed that using QGIS in conjunction with R and the 'RColorBrewer' package one can produce a map of the same quality as one created in 'ArcPro' or another paid software variant. Most people underestimate the spatial and cartographic abilities of both QGIS and R as they are opensource software and therefore aren't as good as paid services. The reality couldn't be more wrong, we live in a time where more and more things are becoming opensource, easier to access and capable of producing professional quality works. So, the next time you think you need to have a subscription or paid software to make a cool map, think again!
+This tutorial showed that using QGIS in conjunction with R and the 'RColorBrewer' package one can produce a map of the same quality as one created in 'ArcPro' or another paid software variant. Most people underestimate the spatial and cartographic abilities of both QGIS and R as they think that since they are open source software, they aren't as good as paid services. The reality couldn't be more wrong, we live in a time where more and more things are becoming open source, easier to access and capable of producing professional quality works. So, the next time you think you need to have a subscription or paid software to make a cool map, think again!
 ==References ==

@@ Line 132: / Line 132: @@
 ===Assessing Temporal Change from 2006 to 2016===
+This tutorial showed that using QGIS in conjunction with R and the 'RColorBrewer' package one can produce a map of the same quality as one created in 'ArcPro' or another paid software variant. Most people underestimate the spatial and cartographic abilities of both QGIS and R as they are opensource software and therefore aren't as good as paid services. The reality couldn't be more wrong, we live in a time where more and more things are becoming opensource, easier to access and capable of producing professional quality works. So, the next time you think you need to have a subscription or paid software to make a cool map, think again!
-This tutorial showed how using QGIS in conjunction with R can be used to display temporal changes.
 ==References ==

@@ Line 12: / Line 12: @@
 The top left-hand box ('''1''') is the script editor. This is where one inputs all their commands; how to manipulate the data, perform analysis, and create graphical outputs. The bottom left-hand box ('''2''') is the console. This is where commands can be written, but these will not be saved if the GUI (Graphical User Interface) closes, and results are shown. When one runs a command in R Studio, the command along with its output is shown in this section, unless it is a plot. The bottom right-hand box ('''3''') is where graphical outputs are shown, and where help files, packages and data files can be found. The top right-hand box ('''4''') shows datasets that have been imported and keeps track of data and values that have been assigned in your R scripts. One can click on the datasets to view them in a table format in another window.
-In the command console one can simply type the command and press 'Enter' and the command will go through right away. In the script editor one can type their command or as many as they wish, and then run it by selecting the line(s) they wish to run and clicking 'Run' - a button located in the upper right-hand corner of the script editor (As can be shown below in '''Figure 2'''.)
+In the command console one can simply type the command and press 'Enter' and the command will go through right away. In the script editor one can type their command or as many as they wish, and then run it by selecting the line(s) they wish to run and clicking 'Run' - a button located in the upper right-hand corner of the script editor (As can be shown below in '''Figure 2''')
 [[File:RunButton.PNG|500px]]

@@ Line 104: / Line 104: @@
 '''Figure 19'''
-From here you simply need to read the newly created shapefile into your R session (Using 'sp' as previously shown). For this map we will be utilizing a R package called 'RColorBrewer', which allows users to use premade color palletes to create visually pleasing plots. Install this package using the methods demonstrated [[#Spatial R Packages|earlier]]. The script that does this can be seen below in '''Figure 20'''.
+From here you simply need to read the newly created shapefile into your R session (Using 'sp' as previously shown). For this map we will be utilizing a R package called 'RColorBrewer', which allows users to use premade color palletes to create visually pleasing plots. Install this package using either of the methods demonstrated [[#Spatial R Packages|earlier]]. The script with documentation can be seen below in '''Figure 20'''.
 [[File:2016Script.PNG|700px]]

@@ Line 104: / Line 104: @@
 '''Figure 19'''
-From here you simply need to read the newly created shapefile into your R session (Using 'sp' as previously shown). For this map we will be utilizing a R package called 'RColorBrewer', which allows users to use premade color palletes to create visually pleasing plots. Install this package using the methods demonstrated [[#Methods|earlier]]. The script that does this can be seen below in '''Figure 20'''.
+From here you simply need to read the newly created shapefile into your R session (Using 'sp' as previously shown). For this map we will be utilizing a R package called 'RColorBrewer', which allows users to use premade color palletes to create visually pleasing plots. Install this package using the methods demonstrated [[#Spatial R Packages|earlier]]. The script that does this can be seen below in '''Figure 20'''.
 [[File:2016Script.PNG|700px]]

@@ Line 55: / Line 55: @@
 A useful resource for translating between languages is this website: http://mathesaurus.sourceforge.net/r-numpy.html
-=== Spatial R Packages===
+===Spatial R Packages===
 Packages can be installed through the GUI (See '''Figures 10-11''') or command line (See '''Figure 12''').

@@ Line 5: / Line 5: @@
 ==Introduction==
-How to use R Studio:
+===How to use R Studio:===
 [[File:RStudioLayoutLabled.png|750px]]