ggmap

My ggmap on which I would like small piecharts with labels is generated with the code: p <- get_googlemap( "Poland", maptype = "roadmap", zoom = 6, color = "bw", crop = T, style = 'feature:all|element:labels|visibility:off' #'feature:administrative.country|element:labels|visibility:off' or 'feature:all|element:labels|visibility:off' ) %>% ggmap() + coord_cartesian() + scale_x_continuous(limits = c(14, 24.3), expand = c(0, 0)) + scale_y_continuous(limits = c(48.8, 55.5), expand = c(0, 0)) I am trying to plot my small ggplot piecharts on a ggmap following the answer R::ggplot2::geom_points: how

I'm trying to plot a US map where each state is shaded by the count that it has. I've gotten the shading to work just fine. The problem I'm running into, however, is that the polygons look very jagged (I'm assuming something happened when I tried to merge the map_data('state') with my data frame of counts per state). My data frame before merging has 49 rows (Nevada was missing data in my set), and after merging has many more rows (expected for the long/lat items for the states) but the data appears to be copied correctly for each lat/long pair, so I'm unsure why the poly's are so jagged. Code:

There is a very nice interface to google earth images available via ggmap . For example: ggmap::get_map(location = c(lon = -95.3632715, lat = 29.7632836), maptype ="satellite",zoom=20) will return a satellite map image from Google Maps/Earth. On Google Maps website if you zoom a bit more, it switches to streetview. Is there a similar way from R to get the streetview images? There does seem to be an API , but can't find anything analogous to the ggmap interface in R. My googleway package has a google map widget (and also works with Shiny ). You'll need a valid Google API key to use it library

I'm trying to get the Zip codes of a (long) list of Longitude Latitude coordinates by using the revgeodcode function in the ggmap library. My question & data are the same as here: Using revgeocode function in a FOR loop. Help required but the accepted answer does not work for me. My data (.csv): ID, Longitude, Latitude 311175, 41.298437, -72.929179 292058, 41.936943, -87.669838 12979, 37.580956, -77.471439 I follow the same steps: data <- read.csv(file.choose()) dset <- as.data.frame(data[,2:3]) location = dset locaddr <- lapply(seq(nrow(location)), function(i){ revgeocode(location[i,], output

Note: This question is specific for mapping but I'd like to be able to use it when I plot in a standard Cartesian coordinate system. I love base graphics but also like ggplot2 for many things. One of my most used base functions for fine tuning a graph is locator(n) but this produces an error in ggplot2. library(ggplot2) county_df <- map_data('county') #mappings of counties by state ny <- subset(county_df, region=="new york") #subset just for NYS ny$county <- ny$subregion ggplot(ny, aes(long, lat, group=group)) + geom_polygon(colour='black', fill=NA) locator(1) Now grid.locator() as pointed out

I have a map with the 8 points plotted on it: library(ggplot2) library(ggmap) data = data.frame( ID = as.numeric(c(1:8)), longitude = as.numeric(c(-63.27462, -63.26499, -63.25658, -63.2519, -63.2311, -63.2175, -63.23623, -63.25958)), latitude = as.numeric(c(17.6328, 17.64614, 17.64755, 17.64632, 17.64888, 17.63113, 17.61252, 17.62463)) ) island = get_map(location = c(lon = -63.247593, lat = 17.631598), zoom = 13, maptype = "satellite") islandMap = ggmap(island, extent = "panel", legend = "bottomright") RL = geom_point(aes(x = longitude, y = latitude), data = data, color = "#ff0000") islandMap

I want a map with points (and other geom_* layers) on it. I get the map, but instead of the points all I get is a warning: Message d'avis : Removed 3 rows containing missing values (geom_point). Here is a reproducible exemple: library(ggmap) library(ggplot2) d <- data.frame(lat=c(50.659631, 50.607213, 50.608129), lon=c(3.09319, 3.011473, 3.031529)) Lille <- get_map("Lille,France", zoom=12) p <- ggmap(Lille) p <- p + geom_point(data=d, aes(lat, lon)) p Looking in the output of ggplot_build(p) I see a layer with NAs for x and y, but I do not get why the data from d is not considered. When using

I am playing with a spatial data set (mostly polygons over an area of a city) and I would like to produce different views, based on different levels of zoom. Everything is fine when I have the plot boundary box larger than the area that contains the polygons. But on a zoom in, some polygons get parts that are outside the boundary box and the output for those polygons is problematic : the points of the polygon outside the boundary box are not displayed, resulting in polygons that are not cropped at boundary box limits (as would be expected) but rather are not considered. the polygons are