gbifmap_dens: Make a simple map to visualize GBIF data density data

Description

This function is deprecated.

Usage

gbifmap_dens(input = NULL, mapdatabase = "world", region = ".",
  geom = geom_point, jitter = NULL, customize = NULL)

Arguments

input

Either a single data.frame or a list of data.frame's (e.g., from different speies). The data.frame has to have, in addition to any other columns, columns named exactly "decimalLatitude" and "decimalLongitude".

mapdatabase

The map database to use in mapping. What you choose here determines what you can choose in the region parameter. One of: county, state, usa, world, world2, france, italy, or nz.

region

The region of the world to map. From the maps package, run sort(unique(map_data("world")$region)) to see region names for the world database layer, or e.g., sort(unique(map_data("state")$region)) for the state layer.

geom

The geom to use, one of geom_point or geom_jitter. Don't quote them.

jitter

If you use jitterposition, the amount by which to jitter points in width, height, or both.

customize

Further arguments passed on to ggplot.

Value

Map (using ggplot2 package) of points on a map or tiles on a map.

Details

gbifmap takes care of cleaning up the data.frame (removing NA's, etc.) returned from rgbif functions, and creating the map. This function gives a simple map of your data. You can look at the code behing the function itself if you want to build on it to make a map according to your specfications.

Note that this function removes values that are impossible on the globe, and those rows that have both lat and long as NA or zeros.

Examples

Run this code

# Tile map, using output from densitylist, Canada
out2 <- densitylist(originisocountrycode = "CA") # data for Canada
gbifmap_dens(out2) # on world map
gbifmap_dens(out2, region="Canada") # on Canada map

# Tile map, using gbifdensity, a specific data provider key
# 191 for 'University of Texas at El Paso'
out2 <- densitylist(dataproviderkey = 191) # data for the US
gbifmap_dens(out2) # on world map

# Modify the plotting region
out <- densitylist(originisocountrycode="US")
gbifmap_dens(out, mapdatabase="usa")