Created by Sven Gastauer 2016
contact: [email protected]
Dependencies: shiny, ggplot2, ggmap, Cairo, colorRamps, RColorBrewer,DT
###Function input:
- dataset = name of the dataset to be used e.g. speed_data
- Lon = [character] name of the Longitude variable, default = "Longitude", class= character, e.g. "Lon"
- Lat = [character] name of the Latitude variable, default = "Latitude", class = character, e.g."Lat"
- variable = [character] name of the variable to define the color scale on the maps (must be a numeric variable), class= numeric, e.g. "Speed"
- mapoffset = [numeric] degrees which will be added to the min/max longitude/latitude to make the map more readable, default=1, class=numeric
- mapsource = [character] source of the background map as defined by ggmap, default = "stamen", options are: Google Maps ("google"), OpenStreetMap ("osm"), Stamen Maps ("stamen"), or CloudMade maps ("cloudmade")
- maptype = [character] type of the map as defined by ggmap, default = "toner", options are: "terrain", "terrain-background", "satellite", "roadmap", and "hybrid" (google maps), "terrain", "watercolor", and "toner" (stamen maps), or a positive integer for cloudmade maps (see ?get_cloudmademap)
- colour = [character] colour of the background map as defined by ggmap, default = "bw", can be either colour ("color") or black-and-white ("bw")
maximal example:
source('intplot.R') intplot(mydata, "Lons","Lats","coolvariable", 0.5, "google", "terrain","color")
minimal example:
intplot(mydata,variable="variable") #assuming mydata contains columns Longitude, Latitude, variable
Result example:
Please notify the author if results of this function are used in any sort of publication
For contact, suggestions or support contact the author