Title: | Access Elevation Data from Various APIs |
---|---|
Description: | Several web services are available that provide access to elevation data. This package provides access to many of those services and returns elevation data either as an 'sf' simple features object from point elevation services or as a 'raster' object from raster elevation services. In future versions, 'elevatr' will drop support for 'raster' and will instead return 'terra' objects. Currently, the package supports access to the Amazon Web Services Terrain Tiles <https://registry.opendata.aws/terrain-tiles/>, the Open Topography Global Datasets API <https://opentopography.org/developers/>, and the USGS Elevation Point Query Service <https://apps.nationalmap.gov/epqs/>. |
Authors: | Jeffrey Hollister [aut, cre] , Tarak Shah [ctb], Jakub Nowosad [ctb] , Alec L. Robitaille [ctb] , Marcus W. Beck [rev] , Mike Johnson [ctb] |
Maintainer: | Jeffrey Hollister <[email protected]> |
License: | MIT + file LICENSE |
Version: | 1.0.0.9999 |
Built: | 2024-11-11 06:16:51 UTC |
Source: | https://github.com/jhollist/elevatr |
This package provides tools to access and download elevation data available from the Mapzen elevation and Mapzen terrain service.
This function provides access to point elevations using either the USGS
Elevation Point Query Service (US Only) or by extracting point elevations
from the AWS Terrain Tiles. The function accepts a data.frame
of x
(long) and y (lat) or a sf
POINT
or MULTIPOINT
object as
input. A sf
POINT
or MULTIPOINT
object is returned with
elevation and elevation units as an added data.frame
.
get_elev_point( locations, prj = NULL, src = c("epqs", "aws"), ncpu = ifelse(future::availableCores() > 2, 2, 1), overwrite = FALSE, ... )
get_elev_point( locations, prj = NULL, src = c("epqs", "aws"), ncpu = ifelse(future::availableCores() > 2, 2, 1), overwrite = FALSE, ... )
locations |
Either a |
prj |
A valid input to |
src |
A character indicating which API to use, either "epqs" or "aws"
accepted. The "epqs" source is relatively slow for larger numbers
of points (e.g. > 500). The "aws" source may be quicker in these
cases provided the points are in a similar geographic area. The
"aws" source downloads a DEM using |
ncpu |
Number of CPU's to use when downloading aws tiles. Defaults to 2 if more than two available, 1 otherwise. |
overwrite |
A logical indicating that existing |
... |
Additional arguments passed to get_epqs or get_aws_points. When using "aws" as the source, pay attention to the 'z' argument. A defualt of 5 is used, but this uses a raster with a large ~4-5 km pixel. Additionally, the source data changes as zoom levels increase. Read https://github.com/tilezen/joerd/blob/master/docs/data-sources.md#what-is-the-ground-resolution for details. |
Function returns an sf
object in the projection specified by
the prj
argument.
## Not run: library(elevatr) library(sf) library(terra) mts <- data.frame(x = c(-71.3036, -72.8145), y = c(44.2700, 44.5438), names = c("Mt. Washington", "Mt. Mansfield")) ll_prj <- 4326 mts_sf <- st_as_sf(x = mts, coords = c("x", "y"), crs = ll_prj) #Empty Raster mts_raster <- rast(mts_sf, nrow = 5, ncol = 5) # Raster with cells for each location mts_raster_loc <- terra::rasterize(mts_sf, rast(mts_sf, nrow = 10, ncol = 10)) get_elev_point(locations = mts, prj = ll_prj) get_elev_point(locations = mts, units="feet", prj = ll_prj) get_elev_point(locations = mts_sf) get_elev_point(locations = mts_raster) get_elev_point(locations = mts_raster_loc) # Code to split into a loop and grab point at a time. # This is usually faster for points that are spread apart library(dplyr) elev <- vector("numeric", length = nrow(mts)) for(i in seq_along(mts)){ elev[i]<-get_elev_point(locations = mts[i,], prj = ll_prj, src = "aws", z = 10)$elevation} mts_elev <- cbind(mts, elev) mts_elev ## End(Not run)
## Not run: library(elevatr) library(sf) library(terra) mts <- data.frame(x = c(-71.3036, -72.8145), y = c(44.2700, 44.5438), names = c("Mt. Washington", "Mt. Mansfield")) ll_prj <- 4326 mts_sf <- st_as_sf(x = mts, coords = c("x", "y"), crs = ll_prj) #Empty Raster mts_raster <- rast(mts_sf, nrow = 5, ncol = 5) # Raster with cells for each location mts_raster_loc <- terra::rasterize(mts_sf, rast(mts_sf, nrow = 10, ncol = 10)) get_elev_point(locations = mts, prj = ll_prj) get_elev_point(locations = mts, units="feet", prj = ll_prj) get_elev_point(locations = mts_sf) get_elev_point(locations = mts_raster) get_elev_point(locations = mts_raster_loc) # Code to split into a loop and grab point at a time. # This is usually faster for points that are spread apart library(dplyr) elev <- vector("numeric", length = nrow(mts)) for(i in seq_along(mts)){ elev[i]<-get_elev_point(locations = mts[i,], prj = ll_prj, src = "aws", z = 10)$elevation} mts_elev <- cbind(mts, elev) mts_elev ## End(Not run)
Several web services provide access to raster elevation. Currently, this
function provides access to the Amazon Web Services Terrain Tiles and the
Open Topography global datasets API. The function accepts a data.frame
of x (long) and y (lat), an sf
, or terra
object as input. A
RasterLayer
object is returned. In subsequent versions, a SpatRaster
will be returned.
get_elev_raster( locations, z, prj = NULL, src = c("aws", "gl3", "gl1", "alos", "srtm15plus"), expand = NULL, clip = c("tile", "bbox", "locations"), verbose = TRUE, neg_to_na = FALSE, override_size_check = FALSE, tmp_dir = tempdir(), ncpu = ifelse(future::availableCores() > 2, 2, 1), ... )
get_elev_raster( locations, z, prj = NULL, src = c("aws", "gl3", "gl1", "alos", "srtm15plus"), expand = NULL, clip = c("tile", "bbox", "locations"), verbose = TRUE, neg_to_na = FALSE, override_size_check = FALSE, tmp_dir = tempdir(), ncpu = ifelse(future::availableCores() > 2, 2, 1), ... )
locations |
Either a |
z |
The zoom level to return. The zoom ranges from 1 to 14. Resolution of the resultant raster is determined by the zoom and latitude. For details on zoom and resolution see the documentation from Mapzen at https://github.com/tilezen/joerd/blob/master/docs/data-sources.md#what-is-the-ground-resolution. The z is not required for the OpenTopography data sources. |
prj |
A valid input to |
src |
A character indicating which API to use. Currently supports "aws" and "gl3", "gl1", "alos", or "srtm15plus" from the OpenTopography API global datasets. "aws" is the default. |
expand |
A numeric value of a distance, in map units, used to expand the bounding box that is used to fetch the terrain tiles. This can be used for features that fall close to the edge of a tile or for retrieving additional area around the feature. If the feature is a single point, the area it returns will be small if clip is set to "bbox". Default is NULL. |
clip |
A character value used to determine clipping of returned DEM. The default value is "tile" which returns the full tiles. Other options are "bbox" which returns the DEM clipped to the bounding box of the original locations (or expanded bounding box if used), or "locations" if the spatial data (e.g. polygons) in the input locations should be used to clip the DEM. Locations are not used to clip input point datasets. Instead the bounding box is used. |
verbose |
Toggles on and off the note about units and coordinate reference system. |
neg_to_na |
Some of the data sources return large negative numbers as missing data. When the end result is a projected those large negative numbers can vary. When set to TRUE, only zero and positive values are returned. Default is FALSE. |
override_size_check |
Boolean to override size checks. Any download between 100 Mb and 500Mb report a message but continue. Between 500Mb and 3000Mb requires interaction and greater than 3000Mb fails. These can be overriden with this argument set to TRUE. |
tmp_dir |
The location to store downloaded raster files. Defaults to a
temporary location. Alternatively, the user may supply an
existing path for these raster files. New folders are not
created by |
ncpu |
Number of CPU's to use when downloading aws tiles. Defaults to 2 if more than two available, 1 otherwise. |
... |
Extra arguments to pass to |
Currently, the get_elev_raster
function utilizes the
Amazon Web Services
(https://registry.opendata.aws/terrain-tiles/) terrain
tiles and the Open Topography Global Datasets API
(https://opentopography.org/developers).
The AWS Terrain Tiles data is provided via x, y, and z tiles (see
https://wiki.openstreetmap.org/wiki/Slippy_map_tilenames for
details.) The x and y are determined from the bounding box of the
object submitted for locations
argument, and the z argument
must be specified by the user.
Function returns a RasterLayer
in the projection
specified by the prj
argument or in the projection of the
provided locations. In subsequent versions, a SpatRaster
will be returned.
## Not run: library(elevatr) library(sf) data(lake) lake_buff <- st_buffer(lake, 1000) loc_df <- data.frame(x = runif(6,min=sf::st_bbox(lake)$xmin, max=sf::st_bbox(lake)$xmax), y = runif(6,min=sf::st_bbox(lake)$ymin, max=sf::st_bbox(lake)$ymax)) x <- get_elev_raster(locations = loc_df, prj = st_crs(lake) , z=10) x <- get_elev_raster(lake, z = 14) x <- get_elev_raster(lake, src = "gl3", expand = 5000) x <- get_elev_raster(lake_buff, z = 10, clip = "locations") ## End(Not run)
## Not run: library(elevatr) library(sf) data(lake) lake_buff <- st_buffer(lake, 1000) loc_df <- data.frame(x = runif(6,min=sf::st_bbox(lake)$xmin, max=sf::st_bbox(lake)$xmax), y = runif(6,min=sf::st_bbox(lake)$ymin, max=sf::st_bbox(lake)$ymax)) x <- get_elev_raster(locations = loc_df, prj = st_crs(lake) , z=10) x <- get_elev_raster(lake, z = 14) x <- get_elev_raster(lake, src = "gl3", expand = 5000) x <- get_elev_raster(lake_buff, z = 10, clip = "locations") ## End(Not run)
This example data is a SpatialPolygonsDataFrame of a single lake, Lake Sunapee. Used for examples and tests.
SpatialPolygonDataframe with 1 lakes, each with 13 variables
Example data frame of locations for use in examples and text
A data.frame with two columns, x(long) and y(lat)
This function stores an OpenTopgrapy key in a local .Renviron file. If the .Renviron file exists, the key will be appended. This will typically only need to be done once per machine.
set_opentopo_key(key)
set_opentopo_key(key)
key |
An OpenTopography API Key as a character. For details on obtaining an OpenTopgraphy key see https://opentopography.org/blog/introducing-api-keys-access-opentopography-global-datasets. |
This sf POINT dataset is 250 uniform random points to be used for examples and tests
A sf POINT object