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I want a map with points (and other geom_* layers) on it My data is a simple.csv file that looks. I get the map, but instead of the points all i get is a warning

Removed 3 rows containing missing values (geom_point) I found this example, which i am essentially trying to replicate with my data, but i am having difficulty Context i would like to get google maps api key for free usage (below 5000 per year hits), but when i follow the instructions, it seems that providing billing information is mandatory

How do i get google maps api key to work on localhost

I've created an api key and under referrers i add the following Ggplot2 doesn't know how to deal with data of class ggmapraster when i try and run the fortify code I have used this method before to add bathymetry polygons (see previous question) but they looked messy when i plotted datapoints onto the ocean so i am now trying this. Labs(x = longitude, y = latitude) + coord_map() it colours by value, but it doesn't have the look of the first

The square boxes are clunky and arbitrary Adjusting the size of the box does not help The dispersion of the first heatmap is preferred I have used get_stadiamap instead of get_stamenmap since the latter is not supported now

However, the important thing is that a gg object is present)

Then, i combined the gg object with ggplot: Click on the 3 dots, embed the maps and provides the base code to copy to your html Your can adjust your view by adding '&' with the commands that syfer listed above I was able to embed multiple maps on the page, and they load up with the same view that you select in the my maps module on google maps.

I am trying to obtain a simple raster map of the entire world, using the ggmap package / get_map functionality (see code below) in combination with ggplot2 The zoom levels only go towards 3, and. I am using google map api v2 in my android application, i am able to show the map and put markers on it, but now i am stuck with the problem in which i need to find out the distance between two ma. I am trying to produce a heat map using ggplot2

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