Difference between revisions of "Importing Google Maps to Plot Data- Kait Farrell"
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| + | == 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><br /> | ||
| + | <code>library(ggplot2)<br /> | ||
| + | library(ggmap)</code> | ||
| + | |||
| + | <nowiki># Import dataset to superimpose over map</nowiki><br /> | ||
| + | <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><br /> | ||
| + | <code>map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))</code> | ||
| + | |||
| + | <nowiki># Plot map- 2013 Q</nowiki><br /> | ||
| + | <code>ggmap(map)<br /> + geom_point(aes(x = lat, y = long, colour=Q, size=Q), data = data)<br /> + scale_colour_continuous(name='Discharge (L/s)',limits=c(0,1000), low = "yellow", high = "red", space = "Lab", guide = "colorbar")<br /> + scale_size(guide='none', range= c(2,12), limits=c(0,1000), breaks=c(5, 50, 100, 400, 800))</code> | ||
| + | |||
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Revision as of 09:04, 20 January 2015
Contents
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:
# Load relevant packages
library(ggplot2)
library(ggmap)
# Import dataset to superimpose over map
data <- read.csv("C:\\Users\\FarrellKJ\\Documents\\R\\mean_depth.csv", header = TRUE)
# Pull map from Google (e.g., location = c('Sunappe, NH') or specified lat/long (as below)
map <- get_map(location = c(lon = -83.44, lat = 35.05), zoom = 14, maptype = c('hybrid'))
# Plot map- 2013 Q
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))
