rggplot2ggmaprgooglemaps

Creating a new map with getNOAA from older ggmap data


I made a map last year of survey points using Rgooglemaps in R. It was a simple map displaying points at which different surveys were conducted. Since google have updated their licence I want to re-create this map using the getNOAA function using marmap.

Here is my old map

  [![Survey Map using Google Maps][1]][1]

This is the current code I am using, but I am getting somewhat confused by the new system.

  library(marmap)
  library(ggplot2)

  Survey_Map<- getNOAA.bathy(lon1 = -26, lon2 = -15, lat1 = 22, lat2 = 
  19, resolution = 1)

  Survey_Points<-autoplot(Survey_Map, geom = c("raster", "contour")) + 
  scale_fill_etopo()

  Map<-Survey_Points+geom_point(data = Survey_Map, aes(x=Longitude, 
  y=Latitude), size = 1.3, colour= Survey_Type)

  Map

and here is the data I am using

  structure(list(Survey_Type = structure(c(2L, 2L, 2L, 2L, 2L, 
  1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
  1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
  1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
  1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
  1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
  1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
  3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 
  4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
  4L, 4L, 4L, 4L), .Label = c("BRUVs Survey", "Fishermen Survey", 
  "Snorkel Survey 2014", "Snorkel Survey 2015"), class = "factor"), 
   Latitude = c(16.73194, 16.73274, 15.33520907, 15.33486, 15.3316, 
   15.33568, 15.33568, 15.3458, 15.3458, 15.33301, 15.33301, 
   15.34517, 15.34517, 15.08846, 15.11057, 15.11057, 15.11228, 
   15.11228, 15.2832, 15.2832, 15.29262, 15.29262, 15.22394, 
   15.22394, 15.24419, 15.24419, 15.22698, 15.22698, 15.25396, 
   15.25396, 15.11008, 15.11008, 15.10803, 15.10803, 15.19545, 
   15.17862, 15.11457, 15.09544, 15.09544, 15.11015, 15.11015, 
   15.28835, 15.2752, 15.16301, 15.16301, 15.11597, 15.1107, 
   15.11036, 15.23928, 15.26985, 15.11055, 15.11055, 15.10636, 
   15.10636, 15.26554, 15.26554, 15.22398, 15.17643, 15.17643, 
   15.19829, 15.19829, 14.93243, 15.25434, 15.25428, 15.3304, 
   15.3304, 15.29193, 15.29193, 15.36435, 15.27594, 15.27594, 
   15.30885, 15.30885, 15.14253, 15.14253, 15.16037, 15.16037, 
   15.11021, 15.11121, 15.11121, 15.2726, 15.28601, 15.1433, 
   15.1433, 15.16446, 15.16446, 15.27095, 15.22856, 15.22856, 
   15.22529, 15.22529, 15.3303, 15.32407, 15.12321, 15.0802, 
   15.31593, 15.31559, 15.31693, 15.31729, 15.31674, 15.31674, 
   15.31709, 15.109374, 15.10863, 15.10827, 15.12663, 15.2719, 
   15.2698, 15.31164, 15.31172, 15.31215, 15.31457, 15.31857, 
   15.11158, 15.11055, 15.27275, 15.15893, 15.16213, 15.11035, 
   15.10915, 15.10344, 15.10923, 15.11025, 15.11104, 15.10917, 
   15.10687, 15.11028, 15.11004, 15.11876, 15.11755, 15.11565, 
   15.1089, 15.11058, 15.11012, 15.11027, 15.22524, 15.22644
   ), Longitude = c(-27.0132, -27.0112, -16.9656, -23.19415, 
   -23.18153, -23.14718, -23.14718, -23.16627, -23.16627, -23.19646, 
   -23.19646, -23.19459, -23.19459, -23.16098, -23.11927, -23.11927, 
   -23.11406, -23.11406, -23.24286, -23.24286, -23.23423, -23.23423, 
   -23.27888, -23.27888, -23.24419, -23.24419, -23.08382, -23.08382, 
   -23.08812, -23.08812, -23.18041, -23.18041, -23.14643, -23.14643, 
   -23.25713, -23.24797, -23.10995, -23.17202, -23.17202, -23.15479, 
   -23.15479, -23.2331, -23.24257, -23.07842, -23.07842, -23.20737, 
   -23.19075, -2311970, -23.09255, -23.10476, -23.11863, -23.11863, 
   -23.13563, -23.13563, -23.0757, -23.0757, -23.0857, -23.25823, 
   -23.25823, -23.25384, -23.25384, -22.22907, -23.22907, -23.23523, 
   -23.20714, -23.20714, -23.23079, -23.23079, -23.20673, -23.23527, 
   -23.23527, -23.21675, -23.21675, -23.09247, -23.09247, -23.08146, 
   -23.08146, -23.11954, -23.18338, -23.18338, -23.2411, -23.24536, 
   -23.09274, -23.09274, -23.08542, -23.08542, -23.24192, -23.27364, 
   -23.27364, -23.26522, -23.26522, -23.1819, -23.1738, -23.2068, 
   -23.1558, -23.18878, -23.1883, -23.18521, -23.18542, -23.1845, 
   -23.1845, -23.18621, -23.1265, -23.1221, -23.12294, -23.13424, 
   -23.1035, -23.1039, -23.14203, -23.14224, -23.1434, -23.14557, 
   -23.18595, -23.1205, -23.12284, -23.1016, -23.06118, -23.06145, 
   -23.11963, -23.12103, -23.13235, -23.12047, -23.11879, -23.1178, 
   -23.12014, -23.1244, -23.12028, -23.12266, -23.13638, -23.13973, 
   -23.13559, -23.12061, -23.1147, -23.11508, -23.11559, -23.21706, 
   -23.22154)), class = "data.frame", row.names = c(NA, -137L))

This is the error I get when trying to create the map.

  Error: Aesthetics must be either length 1 or the same as the data 
  (217800): x, y

Solution

  • With getNOAA.bathy() from the marmap package, here is what you could do:

    # Load packages
    library(marmap)
    library(ggplot2)
    
    # Download bathymetry from NOAA
    # Be careful to download an area large enough to cover all you survey points
    # Add keep = TRUE to avoid re-downloading the same dataset from NOAA every time you call this command
    bathy_data <- getNOAA.bathy(lon1 = -28, 
                                lon2 = -15, 
                                lat1 = 14, 
                                lat2 = 17,
                                resolution = 1,
                                keep = TRUE)
    
    # Load the location and type of surveys
    location <- structure(list(Survey_Type = structure(c(2L, 2L, 2L, 2L, 2L, 
                                                           1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
                                                           1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
                                                           1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
                                                           1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
                                                           1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
                                                           1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
                                                           3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 
                                                           4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
                                                           4L, 4L, 4L, 4L), .Label = c("BRUVs Survey", "Fishermen Survey", 
                                                                                       "Snorkel Survey 2014", "Snorkel Survey 2015"), class = "factor"), 
                                 Latitude = c(16.73194, 16.73274, 15.33520907, 15.33486, 15.3316, 
                                              15.33568, 15.33568, 15.3458, 15.3458, 15.33301, 15.33301, 
                                              15.34517, 15.34517, 15.08846, 15.11057, 15.11057, 15.11228, 
                                              15.11228, 15.2832, 15.2832, 15.29262, 15.29262, 15.22394, 
                                              15.22394, 15.24419, 15.24419, 15.22698, 15.22698, 15.25396, 
                                              15.25396, 15.11008, 15.11008, 15.10803, 15.10803, 15.19545, 
                                              15.17862, 15.11457, 15.09544, 15.09544, 15.11015, 15.11015, 
                                              15.28835, 15.2752, 15.16301, 15.16301, 15.11597, 15.1107, 
                                              15.11036, 15.23928, 15.26985, 15.11055, 15.11055, 15.10636, 
                                              15.10636, 15.26554, 15.26554, 15.22398, 15.17643, 15.17643, 
                                              15.19829, 15.19829, 14.93243, 15.25434, 15.25428, 15.3304, 
                                              15.3304, 15.29193, 15.29193, 15.36435, 15.27594, 15.27594, 
                                              15.30885, 15.30885, 15.14253, 15.14253, 15.16037, 15.16037, 
                                              15.11021, 15.11121, 15.11121, 15.2726, 15.28601, 15.1433, 
                                              15.1433, 15.16446, 15.16446, 15.27095, 15.22856, 15.22856, 
                                              15.22529, 15.22529, 15.3303, 15.32407, 15.12321, 15.0802, 
                                              15.31593, 15.31559, 15.31693, 15.31729, 15.31674, 15.31674, 
                                              15.31709, 15.109374, 15.10863, 15.10827, 15.12663, 15.2719, 
                                              15.2698, 15.31164, 15.31172, 15.31215, 15.31457, 15.31857, 
                                              15.11158, 15.11055, 15.27275, 15.15893, 15.16213, 15.11035, 
                                              15.10915, 15.10344, 15.10923, 15.11025, 15.11104, 15.10917, 
                                              15.10687, 15.11028, 15.11004, 15.11876, 15.11755, 15.11565, 
                                              15.1089, 15.11058, 15.11012, 15.11027, 15.22524, 15.22644
                                 ), Longitude = c(-27.0132, -27.0112, -16.9656, -23.19415, 
                                                  -23.18153, -23.14718, -23.14718, -23.16627, -23.16627, -23.19646, 
                                                  -23.19646, -23.19459, -23.19459, -23.16098, -23.11927, -23.11927, 
                                                  -23.11406, -23.11406, -23.24286, -23.24286, -23.23423, -23.23423, 
                                                  -23.27888, -23.27888, -23.24419, -23.24419, -23.08382, -23.08382, 
                                                  -23.08812, -23.08812, -23.18041, -23.18041, -23.14643, -23.14643, 
                                                  -23.25713, -23.24797, -23.10995, -23.17202, -23.17202, -23.15479, 
                                                  -23.15479, -23.2331, -23.24257, -23.07842, -23.07842, -23.20737, 
                                                  -23.19075, -23.11970, -23.09255, -23.10476, -23.11863, -23.11863, 
                                                  -23.13563, -23.13563, -23.0757, -23.0757, -23.0857, -23.25823, 
                                                  -23.25823, -23.25384, -23.25384, -22.22907, -23.22907, -23.23523, 
                                                  -23.20714, -23.20714, -23.23079, -23.23079, -23.20673, -23.23527, 
                                                  -23.23527, -23.21675, -23.21675, -23.09247, -23.09247, -23.08146, 
                                                  -23.08146, -23.11954, -23.18338, -23.18338, -23.2411, -23.24536, 
                                                  -23.09274, -23.09274, -23.08542, -23.08542, -23.24192, -23.27364, 
                                                  -23.27364, -23.26522, -23.26522, -23.1819, -23.1738, -23.2068, 
                                                  -23.1558, -23.18878, -23.1883, -23.18521, -23.18542, -23.1845, 
                                                  -23.1845, -23.18621, -23.1265, -23.1221, -23.12294, -23.13424, 
                                                  -23.1035, -23.1039, -23.14203, -23.14224, -23.1434, -23.14557, 
                                                  -23.18595, -23.1205, -23.12284, -23.1016, -23.06118, -23.06145, 
                                                  -23.11963, -23.12103, -23.13235, -23.12047, -23.11879, -23.1178, 
                                                  -23.12014, -23.1244, -23.12028, -23.12266, -23.13638, -23.13973, 
                                                  -23.13559, -23.12061, -23.1147, -23.11508, -23.11559, -23.21706, 
                                                  -23.22154)), class = "data.frame", row.names = c(NA, -137L))
    
    # Create the map
    Survey_Map <- autoplot(bathy_data, geom = c("raster", "contour")) + 
      scale_fill_etopo()
    
    # Add survey points
    Map <- Survey_Map +
      geom_point(data = location, 
                 aes(x = Longitude, 
                     y = Latitude,
                     color = Survey_Type),
                 size = 1.6)
    
    # Display the result
    Map
    

    Here is what it looks like on my machine:

    enter image description here