Mapping location in R from a data frame - r

Question

I just got my location data from Falkland Island, and i tried to map the locations that I got from the tags, however, when i run this code r stop working.
I have a data frame for 30 penguins, with different amount of location each, thus, the table looks like this:
This is the code that i tried:
gentoo<-read.csv("Regularised Gentoos.csv", header=F)
plot(gentoo$V3~gentoo$V4,ylab="Latitude",xlab="Longitude",
col=gentoo$V1,aspect="iso")

Answer 1

I could finally plot my data, with the bathymetry of the area:
#Load in libraries
library(sp)
library(rgdal)
library(rgeos)
library(maptools)
library(raster)
library(ggplot2)
library(scales)
library(gridExtra)
library(adehabitatHR)
library(maptools)
library(marmap)
library(maptools)
#Load in shapefile from NaturalEarthData.com
#Load in shapefile from NaturalEarthData.com
world_shp = rgdal::readOGR("/Users/danielgonzalez/Desktop/Thesis/DATA EMAILS/natural_earth_vector/10m_physical",layer = "ne_10m_land")
world_shp
#Load in .csv file
gentoo = read.csv("/Users/danielgonzalez/Desktop/Thesis/DATA EMAILS/Regularised Gentoos.csv")
#Create a spatial points dataframe
locs = sp::SpatialPointsDataFrame(coords = cbind(gentoo$lon, gentoo$lat), data = gentoo, proj4string=CRS("+proj=longlat +datum=WGS84"))
locs
#Extra...
#To download bathymetry data FALKLAND ISLAND MAP
#ETOPO1 database hosted on the NOAA website
library(marmap)
getNOAA.bathy(lon1=-70, lon2=-52, lat1=-57, lat2=-46, resolution = 1) -> bathy
plot(bathy, image=TRUE, deep=-6000, shallow=0, step=1000)
bat = as.raster(bathy)
#Write
writeRaster(bat, filename = "~/bathy.asc")
#Read
bat = readGDAL("~/bathy.asc")
#Load in Raster data
#This is 1 min resolution bathymetry from ETOPO1 database hosted on the NOAA website
bathy = raster::raster("/Users/danielgonzalez/bathy.asc")
#Define projection of bathymetry data
raster::projection(bathy) = CRS("+proj=longlat +datum=WGS84")
#Create a spatialpoints object of the colony
Colonsay = sp::SpatialPoints(coords = cbind(-6.25, 56.07), proj4string = CRS("+proj=longlat +datum=WGS84"))
#Quick plot
#png("gentoo distribution.png",width=8,height=6,units="in",res=1800)
image(bathy,ylab="Latitude",xlab="Longitud")
lines(world_shp)
points(gentoo$lon,gentoo$lat, pch = 19, cex = 0.3,col=gentoo$id)
#dev.off()

Answer 2

Just use ggmap
library(ggmap)
library(ggplot2)
#lat/lon data
df <- as.data.frame(matrix(nrow = 3, ncol =3))
colnames(df) <- c("lat", "lon", "id")
df$lon <- c(-51.2798, -51.3558, -51.9)
df$lat <- c( -59.6387, -59.7533, -59.4)
df$id <- c("1", "2", "3")
df
lat lon id
1 -59.6387 -51.2798 1
2 -59.7533 -51.3558 2
3 -59.4000 -51.9000 3
#get the map
library(ggmap)
mapImageData <- get_map(location = "Falkland Islands",
source = "google", zoom = 9)
#plot the points
ggmap(mapImageData,
extent = "panel",
ylab = "Latitude",
xlab = "Longitude",
legend = "right") +
geom_point(aes(x = lat, # path outline
y = lon),
data = df,
colour = "black") +
labs(x = "Longitude",
y = "Latitude") + ggtitle("Penguin Sightings") +
theme(plot.title = element_text(lineheight=.8, face="bold"))