getNOAA.bathy {marmap} | R Documentation |
Import bathymetric data from the NOAA server
Description
Imports bathymetric data from the NOAA server, given coordinate bounds and resolution.
Usage
getNOAA.bathy(lon1, lon2, lat1, lat2, resolution = 4,
keep = FALSE, antimeridian = FALSE, path = NULL)
Arguments
lon1 |
first longitude of the area for which bathymetric data will be downloaded |
lon2 |
second longitude of the area for which bathymetric data will be downloaded |
lat1 |
first latitude of the area for which bathymetric data will be downloaded |
lat2 |
second latitude of the area for which bathymetric data will be downloaded |
resolution |
resolution of the grid, in minutes (default is 4) |
keep |
whether to write the data downloaded from NOAA into a file (default is FALSE) |
antimeridian |
whether the area should include the antimeridian (longitude 180 or -180). See details. |
path |
Where should bathymetric data be downloaded to if |
Details
getNOAA.bathy
queries the ETOPO 2022 database hosted on the NOAA website, given the coordinates of the area of interest and desired resolution. Users have the option of directly writing the downloaded data into a file (keep = TRUE
argument ; see below). If an identical query is performed (i.e. using identical lat-long and resolution), getNOAA.bathy
will load data from the file previously written to the disk instead of querying the NOAA database. This behavior should be used preferentially (1) to reduce the number of uncessary queries to the NOAA website, and (2) to reduce data load time. If the user wants to make multiple, identical queries to the NOAA website without loading the data written to disk, the data file name must be modified by the user. Alternatively, the data file can be moved outside of the present working directory.
getNOAA.bathy
allows users to download bathymetric data in the antimeridian region when antimeridian=TRUE
. The antimeridian is the 180th meridian and is located about in the middle of the Pacific Ocean, east of New Zealand and Fidji, west of Hawaii and Tonga. For a given pair of longitude values, e.g. -150 (150 degrees West) and 150 (degrees East), you have the possibility to get data for 2 distinct regions: the area centered on the antimeridian (60 degrees wide, when antimeridian = TRUE
) or the area centered on the prime meridian (300 degrees wide, when antimeridian = FALSE
). It is recommended to use keep = TRUE
in combination with antimeridian = TRUE
since gathering data for an area around the antimeridian requires two distinct queries to NOAA servers.
Value
The output of getNOAA.bathy
is a matrix of class bathy
, which dimensions depends on the resolution of the grid uploaded from the NOAA server. The class bathy
has its own methods for summarizing and plotting the data. If keep=TRUE
, a csv file containing the downloaded data is produced. This file is named using the following format: 'marmap_coord_COORDINATES_res_RESOLUTION.csv' (COORDINATES separated by semicolons, and the RESOLUTION in degrees).
Author(s)
Eric Pante and Benoit Simon-Bouhet
References
NOAA National Centers for Environmental Information. 2022: ETOPO 2022 15 Arc-Second Global Relief Model. NOAA National Centers for Environmental Information. doi:doi.org/10.25921/fd45-gt74
See Also
read.bathy
, readGEBCO.bathy
, plot.bathy
Examples
## Not run:
# you must have an internet connection. This line queries the NOAA ETOPO 2022 database
# for data from North Atlantic, for a resolution of 10 minutes.
getNOAA.bathy(lon1=-20,lon2=-90,lat1=50,lat2=20, resolution=10) -> a
plot(a, image=TRUE, deep=-6000, shallow=0, step=1000)
# download speed for a matrix of 10 degrees x 10 degrees x 30 minutes
system.time(getNOAA.bathy(lon1=0,lon2=10,lat1=0,lat2=10, resolution=30))
## End(Not run)