ggmap

I want to plot a ggmap in R, for example, of Australia and have a layer of data points with markers corresponding to the size specified by the following data: sitename lat lon sitenum Sydney -34 151 1 Melbourne -37 144 4 Adelaide -34 138 7 Here's my code, but it's not working... library(ggmap) map <- get_map(location = 'Australia', zoom = 4) mapPoints <- ggmap(map) + geom_point(aes(x = lon, y = lat, size = sitenum), alpha = .5) You need to pass the points as the data argument to geom_points . If they are in the data.frame pp , then the following will owrk ggmap(map) + geom_point(data = pp, aes

I'm having trouble plotting a filled contour plot on top of a map with ggmap/ggplot2 in R. My data are regularly spaced lat/lon coordinates with a z value indicating rainfall > head( flood ) lat lon rain 1 22.51916 -105.9318 1.486188e-05 2 22.59956 -105.9318 1.735962e-05 3 22.67996 -105.9318 2.024598e-05 4 22.76037 -105.9318 2.357599e-05 5 22.84077 -105.9318 2.741153e-05 6 22.92117 -105.9318 3.182212e-05 After getting the base map with ggmap, I'm trying to overplot filled contours of rain map = ggmap( baseMap ) + geom_contour( data = flood, aes( x = lon, y = lat, z = rain ) ) + scale_fill

About 90% of the time, when using get_map in ggmap , I get the following error. Can someone please tell me why? map <- get_map(location = 'Australia', zoom = 4) Error in download.file(url, destfile = destfile, quiet = !messaging, mode = "wb") : cannot open URL ' http://maps.googleapis.com/maps/api/staticmap?center=Australia&zoom=4&size=%20640x640&scale=%202&maptype=terrain&sensor=false ' In addition: Warning message: In download.file(url, destfile = destfile, quiet = !messaging, mode = "wb") : cannot open: HTTP status was '403 Forbidden' The problem is likely related to your API project not

I would like to first use ggmap to plot a specific area with longitude and latitude as axes. Then I would like to put small ggplot2 plots on the specific locations, given their longitude and latitude. These can be barplots with minimal theme. My database may have the columns: 1. town 2. longitude 3. latitude 4. through 6. value A, B, C I generate a plot (pseudocode) p <- ggmap(coordinates) and I have my minimal ggplot2 design q<-ggplot2()+geom_bar(....)+ ... x-axis null y axis null minimal template How to combine the two designs to have a ggmap with small minimal ggplot plots imposed on

I tried the following code: library(ggplot2) library(ggmap) library(sf) nc <- st_read(system.file("shape/nc.shp", package = "sf")) str(nc) Classes ‘sf’ and 'data.frame': 100 obs. of 15 variables: $ AREA : num 0.114 0.061 0.143 0.07 0.153 0.097 0.062 0.091 0.118 0.124 ... $ PERIMETER: num 1.44 1.23 1.63 2.97 2.21 ... $ CNTY_ : num 1825 1827 1828 1831 1832 ... $ CNTY_ID : num 1825 1827 1828 1831 1832 ... $ NAME : Factor w/ 100 levels "Alamance","Alexander",..: 5 3 86 27 66 46 15 37 93 85 ... $ FIPS : Factor w/ 100 levels "37001","37003",..: 5 3 86 27 66 46 15 37 93 85 ... $ FIPSNO : num 37009

I'm trying to use the geocode function from the ggmaps library in R to get coordinates for specific locations. I'm able to use the function fine so far. The issue I'm running into is that I would like to increase my daily limit from 2,500 to 100,000 . The official Google documentation says that this is readily possible if you enable billing on the project, which I'm happy to do. When you proceed with this process, the Google Developers Console gives you a personalized API key. However, the geocode function doesn't have an option to put in this personalized API key. Instead, it asks for the

I am trying to plot my coordinates using R. I have tried already to follow different post ( R: Plot grouped coordinates on world map ; Plotting coordinates of multiple points at google map in R ) but I am not having much success with my data. I am trying to achieve a flat map of the world with my gps coordinate as colored dots (each area a specific color): area lat long Agullhas -38,31 40,96 Polar -57,59 76,51 Tasmanian -39,47 108,93 library(RgoogleMaps) lat <- c(-38.31, -35.50) #define our map's ylim lon <- c(40.96,37.50) #define our map's xlim center = c(mean(lat), mean(lon)) #tell what

I want to plot a map with a raster overlaying a GoogleMaps base map in ggplot2. Therefore, I used get_map() and insert_raster() like this: library(ggplot2) library(ggmap) bm <- ggmap(get_map(location = "Bangkok", maptype = "hybrid")) bm + inset_raster(as.raster(r), xmin = r@extent[1], xmax = r@extent[2], ymin = r@extent[3], ymax = r@extent[4]) Is there any possibility to set a alpha and change the fill color? The result looks like this: Even Faster without fortify : read the original post below for further information From this blog entry I found that we can use spatial polygons directly in

I am trying to make a map with two legends denoting shape and colour ("Type" and "Org" in the example below), and have the legends inset. I can place the legends, but I would like them to be left justified so that their left edges line up. I can't make them anything other than centred with respect to each other: require(ggplot2) require(ggmap) require(grid) require(mapproj) data <- data.frame(Org=rep(c("ABCDEFG","HIJKLMNOP","QRSTUVWX"),4) , Type=rep(c("Y","Z"),6), Lat=runif(12,48,54.5) , Long=runif(12,-133.5,-122.5)) osmMap <- get_map(location=c(-134,47.5,-122,55), source = 'osm') points <-