Gleon Fellowship - User contributions [en]

User:Katie

2015-04-07T15:33:06Z

Katie: Deleted PropertyValue: Has User ID = Katie

[[Category:Person]]


{{#set:
Affiliation=University_of_Georgia|
Is a=Researcher}}

SOS- Source or Sink

2015-04-07T15:32:41Z

Katie: /* Modelling lake carbon budgets to determine: */

[[Category:Task]]
==SOS: Source or Sink==
===Modelling lake carbon budgets to determine:===
*What factors drive the trophic status of lakes.
*How these factors vary along environmental gradients.

Members:
*Kait Farrell
*Ian McCullough
*Ana Morales
*Zu Tao Ouyang
*Derek Roberts
*Facundo Scordo



{{#set:
StartDate=2015-01-15|
TargetDate=2016-08-01|
Type=High}}

SOS- Source or Sink

2015-01-20T18:16:37Z

Katie: Katie moved page SOS to SOS- Source or Sink without leaving a redirect: Moving page

[[Category:Task]]

SOS- Source or Sink

2015-01-20T18:16:27Z

Katie: Creating new page with Category: Task

[[Category:Task]]

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:25:29Z

Katie: /* R Package involed */

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap
* ggplot2

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>

[[File:Skill_sharing_image_KJF.jpeg|frame|center|Example plot based on code above, showing changes in discharge along a stream network]]



{{#set:
Expertise=Maps|
Expertise=Visualization|
Expertise=R|
Owner=Kait_Farrell|
Participants=Kait_Farrell|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:23:45Z

Katie:

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>

[[File:Skill_sharing_image_KJF.jpeg|frame|center|Example plot based on code above, showing changes in discharge along a stream network]]



{{#set:
Expertise=Maps|
Expertise=Visualization|
Expertise=R|
Owner=Kait_Farrell|
Participants=Kait_Farrell|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:22:27Z

Katie:

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>

[[File:Skill_sharing_image_KJF.jpeg|frame|Example plot based on code above]]



{{#set:
Expertise=Maps|
Expertise=Visualization|
Expertise=R|
Owner=Kait_Farrell|
Participants=Kait_Farrell|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

File:Skill sharing image KJF.jpeg

2015-01-20T16:16:17Z

Katie: Example of a map and superimposed data points produced by above code.

Example of a map and superimposed data points produced by above code.

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:10:55Z

Katie: Added PropertyValue: Participants = Kait Farrell

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
Expertise=Maps|
Expertise=Visualization|
Expertise=R|
Owner=Kait_Farrell|
Participants=Kait_Farrell|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:10:44Z

Katie: Set PropertyValue: Owner = Kait Farrell

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
Expertise=Maps|
Expertise=Visualization|
Expertise=R|
Owner=Kait_Farrell|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:10:37Z

Katie: Added PropertyValue: Expertise = R

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
Expertise=R|
Expertise=Maps|
Expertise=Visualization|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:10:35Z

Katie: Added PropertyValue: Expertise = visualization

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
Expertise=Visualization|
Expertise=Maps|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:10:33Z

Katie: Added PropertyValue: Expertise = maps

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
Expertise=Maps|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:10:31Z

Katie: Deleted PropertyValue: Expertise = maps, visualization

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:10:30Z

Katie: Added PropertyValue: Expertise = maps, visualization

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
Expertise=Maps,_visualization|
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:10:16Z

Katie: Set PropertyValue: Progress = 100

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
Progress=100|
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:09:25Z

Katie:

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively
:Zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)
:Details shown in code below include:
::*Superimposing points from data file (ex. 'data') based on sampling lat/long where color and size both vary by discharge ('Q')
::*Defining color scales and limits
::*Defining size scale for plotted points

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:05:05Z

Katie:

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed===
* ggmap (ggplot2)

===Challenges===
* Adjusting map parameters to show focal area most effectively: zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)

===Example code===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T16:04:30Z

Katie:

[[Category:Task]]
== Skills Sharing: Importing Google Maps directly into R to visualize data ==

===Why use this skill?===
* Visually show differences between sampling locations based on some other parameter of interest
* Directly import maps from Google Maps or OpenStreet Map- ArcGIS not required (does require internet connection)
* Minimal coding needed to execute

===R Package involed:===
* ggmap (ggplot2)

===Challenges:===
* Adjusting map parameters to show focal area most effectively: zoom ranges from 3 (continent) to 21 (building), default value 10 (city)
* Obtaining code to fine-tune plot outputs (similar to ggplot)

===Example code:===
<nowiki># Load relevant packages</nowiki> 
<code>library(ggplot2) 
library(ggmap)</code>

<nowiki># Import dataset to superimpose over map</nowiki> 
<code>data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)</code>

<nowiki># Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)</nowiki> 
<code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code>

<nowiki># Plot map- 2013 Q</nowiki> 
<code>ggmap(map) + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data) + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar") + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code>



{{#set:
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T15:36:53Z

Katie: Set PropertyValue: Type = low

[[Category:Task]]


{{#set:
StartDate=2015-01-20|
TargetDate=2015-01-20|
Type=Low}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T15:36:43Z

Katie: Set PropertyValue: TargetDate = 2015-01-20

[[Category:Task]]


{{#set:
StartDate=2015-01-20|
TargetDate=2015-01-20}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T15:36:40Z

Katie: Set PropertyValue: StartDate = 2015-01-20

[[Category:Task]]


{{#set:|
StartDate=2015-01-20}}

Importing Google Maps to Plot Data- Kait Farrell

2015-01-20T15:35:00Z

Katie: Creating new page with Category: Task

[[Category:Task]]

Skills Sharing Activity

2015-01-20T15:35:00Z

Katie: Added PropertyValue: SubTask = Importing Google Maps to Plot Data- Kait Farrell

[[Category:Task]]

==Introduction to R coding==

The first workshop began with an R Skills Sharing activity. All fellows presented on their chosen skill.

The general instructions were:
Identify a skill, tool technique you currently do not know how to implement, and learn how to carry it out. Explain the skill’s relevance to you (why did you choose it?) and to others (how can others use it?), and visualize results in a plot, if appropriate. Overall, you should aim to stretch a bit outside of your current knowledge ‘comfort zone’.

The presentations are included here.



{{#set:
Owner=Hilary|
StartDate=2015-01-12|
SubTask=Importing_Google_Maps_to_Plot_Data-_Kait_Farrell|
SubTask=Batch_Files_-_Hilary_Dugan|
TargetDate=2015-01-23|
Type=Medium}}

Participants

2015-01-13T18:21:40Z

Katie: /* Fellows */

[[Category:Task]]

===Leadership Team===
{| class="wikitable"
! Name
! Institution
|-
| Paul Hanson
| University of Wisconsin-Madison
|-
| Kathleen Weathers
| Cary Institute
|-
| Grace Hong
| University of Wisconsin-Madison
|-
| Hilary Dugan
| University of Wisconsin-Madison
|}

===Fellows===
{| class="wikitable"
! Name
! Institution
|-
|Kait Farrell
|University of Georgia
|-
|Flora Krivak-Tetley
| Dartmouth College
|-
| Ian McCullough
| University of California, Santa Barbara
|-
| Ana Morales
| Iowa State
|-
| Nick Skaff
| Michigan State University
|}



{{#set:
Owner=Hilary|
Progress=25|
StartDate=2015-01-11|
TargetDate=2015-01-16|
Type=Low}}

Participants

2015-01-13T18:17:20Z

Katie: /* Fellows */

[[Category:Task]]

===Leadership Team===
{| class="wikitable"
! Name
! Institution
|-
| Paul Hanson
| University of Wisconsin-Madison
|-
| Kathleen Weathers
| Cary Institute
|-
| Grace Hong
| University of Wisconsin-Madison
|-
| Hilary Dugan
| University of Wisconsin-Madison
|}

===Fellows===
{| class="wikitable"
! Name
! Institution
|-
|Kait Farrell
|University of Georgia
|-
|Flora Krivak-Tetley
| Dartmouth College
|-
| Ana Morales
| Iowa State
|-
| Nick Skaff
| Michigan State University
|-
| Ian McCullough
| University of California, Santa Barbara
|}



{{#set:
Owner=Hilary|
Progress=25|
StartDate=2015-01-11|
TargetDate=2015-01-16|
Type=Low}}

Participants

2015-01-13T18:16:56Z

Katie: /* Fellows */

[[Category:Task]]

===Leadership Team===
{| class="wikitable"
! Name
! Institution
|-
| Paul Hanson
| University of Wisconsin-Madison
|-
| Kathleen Weathers
| Cary Institute
|-
| Grace Hong
| University of Wisconsin-Madison
|-
| Hilary Dugan
| University of Wisconsin-Madison
|}

===Fellows===
{| class="wikitable"
! Name
! Institution
|-
|Kait Farrell
University of Georgia

Flora Krivak-Tetley
| Dartmouth College
|-
| Ana Morales
| Iowa State
|-
| Nick Skaff
| Michigan State University
|-
| Ian McCullough
| University of California, Santa Barbara
|}



{{#set:
Owner=Hilary|
Progress=25|
StartDate=2015-01-11|
TargetDate=2015-01-16|
Type=Low}}

Skills Sharing Activity

2015-01-13T18:15:21Z

Katie: Set PropertyValue: Owner = Hilary

[[Category:Task]]


{{#set:
Owner=Hilary|
StartDate=2015-01-12|
Type=Low}}

Skills Sharing Activity

2015-01-13T18:15:11Z

Katie: Set PropertyValue: StartDate = 2015-01-12

[[Category:Task]]


{{#set:
StartDate=2015-01-12|
Type=Low}}

Skills Sharing Activity

2015-01-13T18:15:04Z

Katie: Set PropertyValue: Type = low

[[Category:Task]]


{{#set:
Type=Low}}

Workshop 1 Lake Sunapee

2015-01-13T18:14:22Z

Katie: Added PropertyValue: Participants = Kait Farrell

[[Category:Task]]

===Dates===
Jan 11-16, 2015

===Logistics===
Accommodations: Participants will be staying at [http://www.dextersnh.com/ Dexter's Inn].
Workshop: We will be spending days at the Lake Sunapee Protective Association office (63 Main St., Sunapee, NH).

===Agenda===
The agenda for the week can be found here: [https://docs.google.com/spreadsheets/d/1FcEaNZtW5SN5N4SRrRz33OiCLHySjoxPh0ZBdMjfWvg/edit#gid=0 Lake Sunapee Agenda]



{{#set:
Owner=Hilary|
Participants=Kait_Farrell|
Progress=20|
StartDate=2015-01-11|
SubTask=Participants|
SubTask=Skills_Sharing_Activity|
TargetDate=2015-01-24|
Type=Low}}