From 1499d5f8670628509eec0b7d2bea17f894de43f9 Mon Sep 17 00:00:00 2001 From: Francesco Nattino Date: Mon, 13 Jan 2025 16:44:07 +0100 Subject: [PATCH 01/14] implement valley initial method --- R/corridor.R | 49 ++++-- R/delineate.R | 33 +++- R/network.R | 8 +- R/osmdata.R | 64 ++++--- R/utils.R | 58 ++++++- R/valley.R | 167 ++++++++++--------- data-raw/bucharest.R | 6 +- data/bucharest_dem.rda | Bin 3031501 -> 3044445 bytes data/bucharest_osm.rda | Bin 1046781 -> 1050414 bytes man/as_bbox.Rd | 12 +- man/buffer_bbox.Rd | 22 +++ man/default_stac_dem.Rd | 38 +++++ man/delineate_corridor.Rd | 15 +- man/dem_to_cog.Rd | 4 +- man/filter_network.Rd | 3 +- man/get_corridor.Rd | 11 +- man/get_dem.Rd | 39 +++-- man/get_osm_city_boundary.Rd | 8 +- man/get_osm_railways.Rd | 2 +- man/get_osm_river.Rd | 8 +- man/get_osm_streets.Rd | 2 +- man/get_osmdata.Rd | 7 +- man/get_slope.Rd | 4 +- man/get_stac_asset_urls.Rd | 21 +-- man/get_valley.Rd | 23 +-- man/get_valley_polygon.Rd | 4 +- man/initial_corridor.Rd | 17 +- man/reproject.Rd | 2 +- man/river_valley.Rd | 22 +++ man/smooth_dem.Rd | 4 +- tests/testthat/test-osmdata.R | 20 +-- tests/testthat/test-valley.R | 27 ++- tests/testthat/testdata/expected_valley.gpkg | Bin 139264 -> 139264 bytes tests/testthat/testdata/generate_valley.R | 3 +- 34 files changed, 458 insertions(+), 245 deletions(-) create mode 100644 man/buffer_bbox.Rd create mode 100644 man/default_stac_dem.Rd create mode 100644 man/river_valley.Rd diff --git a/R/corridor.R b/R/corridor.R index b61068d..1163b9c 100644 --- a/R/corridor.R +++ b/R/corridor.R @@ -7,22 +7,24 @@ #' @param bbox Bounding box defining the extent of the area of interest #' @param initial_method The method employed to define the initial river #' corridor geometry. See [initial_corridor()] for the available methods +#' @param buffer Buffer region to add to the river geometry to setup the initial +#' corridor (only used if `initial_method` is `"buffer"`) +#' @param dem Digital elevation model (DEM) of the region (only used if +#' `initial_method` is `"valley"`) #' @param capping_method The method employed to connect the corridor edge end #' points (i.e. to "cap" the corridor). See [cap_corridor()] for #' the available methods -#' TODO: add input arguments for the initialization method #' #' @return A simple feature geometry representing the river corridor #' @export get_corridor <- function( network, river_centerline, river_surface, bbox, initial_method = "buffer", - capping_method = "direct" + buffer = 1000, dem = NULL, capping_method = "direct" ) { # Draw the initial corridor geometry within the area of interest - river <- c(river_centerline, river_surface) - # TODO: remove hardcoded buffer value here - corridor_init <- initial_corridor(river, initial_method, bbox, buffer = 1000) + corridor_init <- initial_corridor(river_surface, method = initial_method, + buffer = buffer, dem = dem, bbox = bbox) # Find the corridor end points end_points <- corridor_end_points(river_centerline, bbox) @@ -54,15 +56,28 @@ get_corridor <- function( #' @param method The method employed to draw the initial river corridor: #' - "buffer" (default): add a fixed buffer region to the river geometry #' (see [river_buffer()]) -#' @param ... Additional arguments required by the function that implements the -#' chosen method (see `method`) +#' - "valley": use the river valley boundary, as estimated from the provided +#' digital elevation model (DEM, see [river_valley()]) +#' @param buffer Buffer region to add to the river geometry (only used if +#' `initial_method` is `"buffer"`) +#' @param dem Digital elevation model (DEM) of the region (only used if +#' `initial_method` is `"valley"`) #' @param bbox Bounding box defining the extent of the area of interest #' #' @return A simple feature geometry -initial_corridor <- function(river, method = "buffer", ..., bbox = NULL) { - args <- list(...) +initial_corridor <- function( + river, method = "buffer", buffer = NULL, dem = NULL, bbox = NULL +) { if (method == "buffer") { - return(river_buffer(river, buffer = args$buffer, bbox = bbox)) + if (is.null(buffer)) { + stop("Buffer should be provided if `method` is `'buffer'`") + } + return(river_buffer(river, buffer, bbox = bbox)) + } else if (method == "valley") { + if (is.null(dem)) { + stop("DEM should be provided if `method` is `'valley'`") + } + return(river_valley(river, dem, bbox = bbox)) } else { stop( sprintf("Unknown method to initialize river corridor: {method}", method) @@ -87,6 +102,20 @@ river_buffer <- function(river, buffer, bbox = NULL) { } } +#' Draw a corridor as an estimate of the river valley. +#' +#' The valley is drawn on a digital elevation model (DEM) of the area, +#' see [get_valley()] for details on the implementation. +#' +#' @param river A simple feature geometry representing the river +#' @param dem The DEM of the area as a terra SpatRaster object +#' @param bbox Bounding box defining the extent of the area of interest +#' +#' @return A simple feature geometry +river_valley <- function(river, dem, bbox = NULL) { + get_valley(dem, river, bbox = bbox) +} + #' Find the corridor end points. #' #' Using the river center line and the bounding box of the area of interest, diff --git a/R/delineate.R b/R/delineate.R index f50bf3d..5ae1603 100644 --- a/R/delineate.R +++ b/R/delineate.R @@ -8,6 +8,10 @@ #' effects close to its limits #' @param initial_method The method employed to define the initial river #' corridor geometry. See [initial_corridor()] for the available methods +#' @param initial_buffer Buffer region to add to the river geometry to setup the +#' initial corridor (only used if `initial_method` is `"buffer"`) +#' @param dem Digital elevation model (DEM) of the region (only used if +#' `initial_method` is `"valley"`) #' @param capping_method The method employed to connect the corridor edge end #' points (i.e. to "cap" the corridor). See [cap_corridor()] for #' the available methods @@ -16,28 +20,41 @@ #' [get_segments()] and [rcoins::stroke()]. Only used if `segments` is TRUE. #' @param segments Whether to carry out the corridor segmentation #' @param riverspace Whether to carry out the riverspace delineation +#' @param ... Additional (optional) input arguments for retrieving the DEM +#' dataset (see [get_dem()]). Only relevant if `initial_method` is `"valley"` +#' and `dem` is NULL #' #' @return A simple feature geometry #' @export delineate_corridor <- function( city_name, river_name, crs = NULL, bbox_buffer = NULL, - initial_method = "buffer", capping_method = "direct", angle_threshold = 90, - segments = FALSE, riverspace = FALSE + initial_method = "buffer", initial_buffer = 1000, dem = NULL, + capping_method = "direct", angle_threshold = 90, segments = FALSE, + riverspace = FALSE, ... ) { - # Retrieve all relevant OSM datasets using the extended bounding box - osm_data <- get_osmdata(city_name, river_name, crs, bbox_buffer) + # Define the area of interest and (if not provided) the CRS + bbox <- get_osm_bb(city_name) + bbox <- buffer_bbox(bbox, buffer = bbox_buffer) + if (is.null(crs)) crs <- get_utm_zone(bbox) - # Define the area of interest - bbox <- sf::st_transform(osm_data$bb, sf::st_crs(osm_data$boundary)) + # Retrieve all relevant OSM datasets within the area of interest + osm_data <- get_osmdata(bbox, city_name, river_name, crs = crs) + + # If using the valley method, and the DEM is not provided, retrieve dataset + if (initial_method == "valley" && is.null(dem)) { + dem <- get_dem(bbox, crs = crs, ...) + } # Set up the combined street and rail network for the delineation network_edges <- dplyr::bind_rows(osm_data$streets, osm_data$railways) network <- as_network(network_edges) # Run the corridor delineation on the spatial network + bbox_repr <- reproject(bbox, crs) corridor <- get_corridor( - network, osm_data$river_centerline, osm_data$river_surface, bbox, - initial_method, capping_method + network, osm_data$river_centerline, osm_data$river_surface, bbox_repr, + initial_method = initial_method, buffer = initial_buffer, dem = dem, + capping_method = capping_method ) if (segments) { diff --git a/R/network.R b/R/network.R index 938b4f2..22e4274 100644 --- a/R/network.R +++ b/R/network.R @@ -298,6 +298,9 @@ nearest_node <- function(network, target) { #' Subset a network keeping the only nodes that intersect a target geometry. #' +#' If subsetting results in multiple disconnected components, we keep the main +#' one. +#' #' @param network A network object #' @param target The target geometry #' @@ -305,7 +308,10 @@ nearest_node <- function(network, target) { filter_network <- function(network, target) { network |> tidygraph::activate("nodes") |> - tidygraph::filter(sfnetworks::node_intersects(target)) + tidygraph::filter(sfnetworks::node_intersects(target)) |> + # keep only the main connected component of the network + tidygraph::activate("nodes") |> + dplyr::filter(tidygraph::group_components() == 1) } #' Identify network edges that are intersecting a geometry diff --git a/R/osmdata.R b/R/osmdata.R index a62559d..600267d 100644 --- a/R/osmdata.R +++ b/R/osmdata.R @@ -37,12 +37,11 @@ get_osm_bb <- function(city_name) { #' the city boundary, the river centreline and surface, the streets, and the #' railways. #' +#' @param bb Bounding box defining the area of interest #' @param city_name A character string with the name of the city. #' @param river_name A character string with the name of the river. #' @param crs An integer with the EPSG code for the projection. If no CRS is #' specified, the default is the UTM zone for the city. -#' @param buffer A numeric with the buffer distance in meters. By default, -#' no buffer is applied #' #' @return An list with the retrieved OpenStreetMap data sets for the #' given location @@ -50,24 +49,11 @@ get_osm_bb <- function(city_name) { #' #' @examples #' get_osmdata("Bucharest", "Dambovita", buffer = 2000) -get_osmdata <- function(city_name, river_name, crs = NULL, buffer = NULL) { - bb <- get_osm_bb(city_name) - - if (is.null(crs)) crs <- get_utm_zone(bb) - - if (!is.null(buffer)) { - bb <- bb |> - sf::st_as_sfc() |> - sf::st_transform(crs = crs) |> - sf::st_buffer(buffer) |> - sf::st_transform(crs = 4326) |> - sf::st_bbox() - } - - boundary <- get_osm_city_boundary(city_name, bb, crs) - river <- get_osm_river(river_name, bb, crs) - srteets <- get_osm_streets(bb, crs) - railways <- get_osm_railways(bb, crs) +get_osmdata <- function(bb, city_name, river_name, crs = NULL) { + boundary <- get_osm_city_boundary(bb, city_name, crs = crs) + river <- get_osm_river(bb, river_name, crs = crs) + srteets <- get_osm_streets(bb, crs = crs) + railways <- get_osm_railways(bb, crs = crs) osm_data <- list( bb = bb, @@ -87,8 +73,8 @@ get_osmdata <- function(city_name, river_name, crs = NULL, buffer = NULL) { #' bounding box with the OSM tags "place:city" and "boundary:administrative". #' The result is filtered by the city name. #' -#' @param city_name A character string with the name of the city #' @param bb Bounding box of class `bbox` +#' @param city_name A character string with the name of the city #' @param crs Coordinate reference system as EPSG code #' @param multiple A logical indicating if multiple city boundaries should be #' returned. By default, only the first one is returned. @@ -100,8 +86,8 @@ get_osmdata <- function(city_name, river_name, crs = NULL, buffer = NULL) { #' @examples #' bb <- get_osm_bb("Bucharest") #' crs <- get_utm_zone(bb) -#' get_osm_city_boundary("Bucharest", bb, crs) -get_osm_city_boundary <- function(city_name, bb, crs, multiple = FALSE) { +#' get_osm_city_boundary(bb, "Bucharest", crs) +get_osm_city_boundary <- function(bb, city_name, crs = NULL, multiple = FALSE) { # Define a helper function to fetch the city boundary fetch_boundary <- function(key, value) { CRiSp::osmdata_as_sf(key, value, bb)$osm_multipolygons |> @@ -109,7 +95,6 @@ get_osm_city_boundary <- function(city_name, bb, crs, multiple = FALSE) { .data$`name:en` == stringr::str_extract(city_name, "^[^,]+") | .data$name == stringr::str_extract(city_name, "^[^,]+") ) |> - sf::st_transform(crs) |> sf::st_geometry() } @@ -128,6 +113,8 @@ get_osm_city_boundary <- function(city_name, bb, crs, multiple = FALSE) { stop("No city boundary found. The city name may be incorrect.") } + if (!is.null(crs)) city_boundary <- sf::st_transform(city_boundary, crs) + if (length(city_boundary) > 1) { if (!multiple) { message("Multiple boundaries were found. Using the first one.") @@ -142,8 +129,8 @@ get_osm_city_boundary <- function(city_name, bb, crs, multiple = FALSE) { #' Get the river centreline and surface from OpenStreetMap #' -#' @param river_name The name of the river #' @param bb Bounding box of class `bbox` +#' @param river_name The name of the river #' @param crs Coordinate reference system as EPSG code #' #' @return A list with the river centreline and surface @@ -152,13 +139,14 @@ get_osm_city_boundary <- function(city_name, bb, crs, multiple = FALSE) { #' @examples #' bb <- get_osm_bb("Bucharest") #' crs <- get_utm_zone(bb) -#' get_osm_river("Dâmbovița", bb, crs) -get_osm_river <- function(river_name, bb, crs) { +#' get_osm_river(bb, "Dâmbovița", crs) +get_osm_river <- function(bb, river_name, crs = NULL) { # Get the river centreline river_centerline <- CRiSp::osmdata_as_sf("waterway", "river", bb) river_centerline <- river_centerline$osm_multilines |> dplyr::filter(.data$name == river_name) |> - sf::st_transform(crs) |> + # the query can return more features than actually intersecting the bb + sf::st_filter(sf::st_as_sfc(bb), .predicate = sf::st_intersects) |> sf::st_geometry() # Get the river surface @@ -168,10 +156,14 @@ get_osm_river <- function(river_name, bb, crs) { sf::st_geometry() |> sf::st_as_sf() |> sf::st_crop(bb) |> - sf::st_transform(crs) |> sf::st_filter(river_centerline, .predicate = sf::st_intersects) |> sf::st_union() + if (!is.null(crs)) { + river_centerline <- sf::st_transform(river_centerline, crs) + river_surface <- sf::st_transform(river_surface, crs) + } + return(list(centerline = river_centerline, surface = river_surface)) } @@ -191,7 +183,7 @@ get_osm_river <- function(river_name, bb, crs) { #' bb <- get_osm_bb("Bucharest") #' crs <- get_utm_zone(bb) #' get_osm_streets(bb, crs) -get_osm_streets <- function(bb, crs, highway_values = NULL) { +get_osm_streets <- function(bb, crs = NULL, highway_values = NULL) { if (is.null(highway_values)) { highway_values <- c("motorway", "trunk", "primary", "secondary", "tertiary") } @@ -211,8 +203,9 @@ get_osm_streets <- function(bb, crs, highway_values = NULL) { streets_lines <- streets$osm_lines |> dplyr::bind_rows(poly_to_lines) |> dplyr::select("highway") |> - dplyr::rename(!!sym("type") := !!sym("highway")) |> - sf::st_transform(crs) + dplyr::rename(!!sym("type") := !!sym("highway")) + + if (!is.null(crs)) streets_lines <- sf::st_transform(streets_lines, crs) return(streets_lines) } @@ -230,12 +223,13 @@ get_osm_streets <- function(bb, crs, highway_values = NULL) { #' bb <- get_osm_bb("Bucharest") #' crs <- get_utm_zone(bb) #' get_osm_railways(bb, crs) -get_osm_railways <- function(bb, crs) { +get_osm_railways <- function(bb, crs = NULL) { railways <- osmdata_as_sf("railway", "rail", bb) railways_lines <- railways$osm_lines |> dplyr::select("railway") |> - dplyr::rename(!!sym("type") := !!sym("railway")) |> - sf::st_transform(crs) + dplyr::rename(!!sym("type") := !!sym("railway")) + + if (!is.null(crs)) railways_lines <- sf::st_transform(railways_lines, crs) return(railways_lines) } diff --git a/R/utils.R b/R/utils.R index 74be207..15ed42a 100644 --- a/R/utils.R +++ b/R/utils.R @@ -30,12 +30,13 @@ get_utm_zone <- function(x) { return(epsg_code) } -#' Get the bounding box from the x object. If the x does not have a CRS, WGS84 -#' is assumed. +#' Get the bounding box from the x object #' -#' @param x Simple feature object or a bounding box, provided either as a -#' matrix (with x, y as rows and min, max as columns) or as a vector (xmin, -#' ymin, xmax, ymax) +#' If the x does not have a CRS, WGS84 is assumed. +#' +#' @param x Simple feature object (or compatible) or a bounding box, provided +#' either as a matrix (with x, y as rows and min, max as columns) or as a +#' vector (xmin, ymin, xmax, ymax) #' @return A bounding box as returned by [`sf::st_bbox()`] #' @export as_bbox <- function(x) { @@ -45,6 +46,51 @@ as_bbox <- function(x) { } bbox <- sf::st_bbox(x) crs <- sf::st_crs(bbox) - if (is.na(crs)) sf::st_crs(bbox) <- sf::st_crs(4326) + if (is.na(crs)) sf::st_crs(bbox) <- sf::st_crs("EPSG:4326") return(bbox) } + +#' Apply a buffer region to a bounding box +#' +#' If the input bbox is in lat/lon coordinates, the buffer is approximately +#' applied by first transforming the bbox in a suitable projected coordinate +#' reference system, expanding it with the given buffer, transforming it back to +#' the lat/lon system, and finally taking the bounding box of the obtained area. +#' +#' @param bbox Bonding box as a simple feature object +#' @param buffer Buffer region in meters +#' @return Expanded bounding box as a simple feature object +buffer_bbox <- function(bbox, buffer) { + is_bbox_longlat <- sf::st_is_longlat(bbox) + bbox_sfc <- sf::st_as_sfc(bbox) + if (is_bbox_longlat) { + crs_meters <- get_utm_zone(bbox) + bbox_sfc <- sf::st_transform(bbox_sfc, crs_meters) + } + bbox_sfc_buffer <- sf::st_buffer(bbox_sfc, buffer) + if (is_bbox_longlat) { + bbox_sfc_buffer <- sf::st_transform(bbox_sfc_buffer, sf::st_crs(bbox)) + } + bbox_buffer <- sf::st_bbox(bbox_sfc_buffer) + return(bbox_buffer) +} + +#' Reproject a raster or vector dataset to the specified +#' coordinate reference system (CRS) +#' +#' @param x Raster or vector object +#' @param crs CRS to be projected to +#' @param ... Optional arguments for raster or vector reproject functions +#' +#' @return Object reprojected to specified CRS +#' @export +reproject <- function(x, crs, ...) { + if (inherits(x, "SpatRaster")) { + wkt <- sf::st_crs(crs)$wkt + return(terra::project(x, wkt, ...)) + } else if (inherits(x, c("bbox", "sfc", "sf"))) { + return(sf::st_transform(x, crs, ...)) + } else { + stop(sprintf("Cannot reproject object type: %s", class(x))) + } +} diff --git a/R/valley.R b/R/valley.R index bf0fa4a..33391ca 100644 --- a/R/valley.R +++ b/R/valley.R @@ -1,54 +1,87 @@ -#' Load dem from a STAC endpoint +#' Endpoint and collection ID of the default STAC colleciton where to access +#' digital elevation model (DEM) data. This is the global Copernicus DEM 30 +#' dataset hosted on AWS, as listed in the EarthSearch STAC API endpoint. +#' Note that AWS credentials need to be setup in order to access the data (not +#' the catalog). +# nolint start +#' References: +#' - [EarthSearch STAC API](https://element84.com/earth-search/) +#' - [Copernicus DEM](https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model) +#' - [AWS Copernicus DEM datasets](https://copernicus-dem-30m.s3.amazonaws.com/readme.html) +#' - [Data license](https://docs.sentinel-hub.com/api/latest/static/files/data/dem/resources/license/License-COPDEM-30.pdf) +# nolint end +default_stac_dem <- list( + endpoint = "https://earth-search.aws.element84.com/v1", + collection = "cop-dem-glo-30" +) + +#' Access digital elevation model (DEM) for a given region #' #' @param bb A bounding box, provided either as a matrix (rows for "x", "y", -#' columns for "min", "max") or as a vector ("xmin", "ymin", "xmax", "ymax") -#' @param resource from which to source dem. Can be "STAC". -#' if "STAC" the parameters the following parameters -#' must be supplied as named parameters. If omitted defaults -#' will be used. -#' @param ... Additional parameters to be passed depending on the resource. -#' In case `resource = "STAC"`, the arguments `endpoint` and -#' `collection` need to be passed to `get_stac_asset_urls()`. -#' -#' @return dem +#' columns for "min", "max") or as a vector ("xmin", "ymin", "xmax", "ymax"), +#' in lat/lon coordinates (WGS84 coordinate referece system) +#' @param dem_source Source of the DEM: +#' - If "STAC" (default), DEM tiles are searched on a SpatioTemporal Asset +#' Catalog (STAC) end point, then accessed and mosaicked to the area of +#' interest +#' @param stac_endpoint URL of the STAC API endpoint (only used if `dem_source` +#' is `"STAC"`). To be provided together with `stac_collection`, or leave +#' blank to use defaults (see [`default_stac_dem`]) +#' @param stac_collection Identifier of the STAC collection to be queried (only +#' used if `dem_source` is `"STAC"`). To be provided together with +#' `stac_endpoint`, or leave blank to use defaults (see [`default_stac_dem`]) +#' @param crs Coordinate reference system (CRS) which to transform the DEM to +#' +#' @return DEM as a terra SpatRaster object #' @export -get_dem <- function(bb, resource = "STAC", ...) { +get_dem <- function(bb, dem_source = "STAC", stac_endpoint = NULL, + stac_collection = NULL, crs = NULL) { bbox <- as_bbox(bb) - args <- list(...) - if (resource == "STAC") { - if (length(args) && !is.null(...)) { - endpoint <- args$endpoint - collection <- args$collection - asset_urls <- get_stac_asset_urls(bbox, - endpoint = endpoint, - collection = collection) - } else { - asset_urls <- get_stac_asset_urls(bbox) + if (dem_source == "STAC") { + if (is.null(stac_endpoint) && is.null(stac_collection)) { + stac_endpoint <- default_stac_dem$endpoint + stac_collection <- default_stac_dem$collection + } else if (is.null(stac_endpoint) || is.null(stac_collection)) { + stop("Provide both or neither of `stac_endpoint` and `stac_collection`") } + asset_urls <- get_stac_asset_urls(bbox, endpoint = stac_endpoint, + collection = stac_collection) dem <- load_raster(bbox, asset_urls) - return(dem) } else { - stop(sprintf("Resource %s unknown", resource)) + stop(sprintf("DEM source %s unknown", dem_source)) } + if (!is.null(crs)) dem <- reproject(dem, crs) + return(dem) } -#' Create vector/polygon representation of valley from dem and river polygon -#' for a crs +#' Extract the river valley from the DEM #' -#' @param dem of region -#' @param river vector/polygon representation of river area -#' @param crs coordiante reference system to use +#' The slope of the digital elevation model (DEM) is used as friction (cost) +#' surface to compute the cost distance from any grid cell of the raster to +#' the river. A characteristic value (default: the mean) of the cost distance +#' distribution in a region surrounding the river (default: a buffer region of +#' 2 km) is then calculated, and used to threshold the cost-distance surface. +#' The resulting area is then "polygonized" to obtain the valley boundary as a +#' simple feature geometry. #' -#' @return (multi)polygon representation of valley -#' area as st_geometry without holes +#' @param dem Digital elevation model of the region +#' @param river A simple feature geometry representing the river +#' @param bbox Bounding box defining the extent of the area of interest +#' +#' @return River valley as a simple feature geometry #' @export -get_valley <- function(dem, river, crs) { - dem_repr <- reproject(dem, crs) - river_repr <- reproject(river, crs) - cd_masked <- smooth_dem(dem_repr) |> +get_valley <- function(dem, river, bbox = NULL) { + if (!terra::same.crs(dem, sf::st_crs(river)$wkt)) { + stop("DEM and river geometry should be in the same CRS") + } + if (!is.null(bbox)) { + bbox <- as_bbox(bbox) + dem <- terra::crop(dem, terra::ext(bbox)) + } + cd_masked <- smooth_dem(dem) |> get_slope() |> - get_cost_distance(river_repr) |> - mask_cost_distance(river_repr) + get_cost_distance(river) |> + mask_cost_distance(river) cd_thresh <- get_cd_char(cd_masked) @@ -57,21 +90,18 @@ get_valley <- function(dem, river, crs) { return(valley) } -#' Retrieve asset urls for the intersection of a bounding box with a -#' remote STAC endpoint +#' Retrieve the URLs of all the assets intersecting a bbox from a STAC API #' #' @param bb A bounding box, provided either as a matrix (rows for "x", "y", -#' columns for "min", "max") or as a vector ("xmin", "ymin", "xmax", "ymax") -#' @param endpoint url of (remote) STAC endpoint +#' columns for "min", "max") or as a vector ("xmin", "ymin", "xmax", "ymax"), +#' in lat/lon coordinates (WGS84 coordinate referece system) +#' @param endpoint URL of the STAC API endpoint #' @param collection STAC collection to be queried #' -#' @return A list of urls for the assets in the collection -#' overlapping with the specified bounding box +#' @return A list of URLs for the assets in the collection overlapping with +#' the specified bounding box #' @export -get_stac_asset_urls <- function( - bb, - endpoint = "https://earth-search.aws.element84.com/v1", - collection = "cop-dem-glo-30") { +get_stac_asset_urls <- function(bb, endpoint, collection) { bbox <- as_bbox(bb) it_obj <- rstac::stac(endpoint) |> rstac::stac_search(collections = collection, bbox = bbox) |> @@ -94,11 +124,12 @@ load_raster <- function(bb, raster_urlpaths) { bbox <- as_bbox(bb) raster_urlpaths |> lapply(terra::rast) |> - lapply(terra::crop, terra::ext(bbox)) |> + # snap spatial extent outward to include pixels crossed by the boundary + lapply(terra::crop, terra::ext(bbox), snap = "out") |> do.call(terra::merge, args = _) } -#' Write dem to cloud optimized GeoTiff file as specified location +#' Write DEM to cloud optimized GeoTiff file as specified location #' #' @param dem to write to file #' @param fpath filepath for output. If no output directory is specified @@ -124,31 +155,11 @@ dem_to_cog <- function(dem, fpath, output_directory = NULL) { overwrite = TRUE) } -#' Reproject a raster or vector dataset to the specified -#' coordinate reference system (CRS) -#' -#' @param x Raster or vector object -#' @param crs CRS to be projected to -#' @param ... Optional arguments for raster or vector reproject functions -#' -#' @return Object reprojected to specified CRS -#' @export -reproject <- function(x, crs, ...) { - if (inherits(x, "SpatRaster")) { - wkt <- sf::st_crs(crs)$wkt - return(terra::project(x, wkt, ...)) - } else if (inherits(x, c("bbox", "sfc", "sf"))) { - return(sf::st_transform(x, crs, ...)) - } else { - stop(sprintf("Cannot reproject object type: %s", class(x))) - } -} - #' Spatially smooth dem by (window) filtering #' #' @param dem raster data of dem -#' @param method smoothing function to be used, e.g. "median". -#' As accepted by focal +#' @param method smoothing function to be used, e.g. "median", +#' as accepted by [terra::focal()] #' @param window size of smoothing kernel #' #' @return filtered dem @@ -159,7 +170,8 @@ smooth_dem <- function(dem, method = "median", window = 5) { return(dem_smoothed) } -#' Derive slope as percentage from dem +#' Derive slope as percentage from DEM +#' #' This makes use of the terrain function of the terra package #' #' @param dem raster data of dem @@ -184,13 +196,10 @@ get_slope <- function(dem) { #' #' @export mask_slope <- function(slope, river, lthresh = 1.e-3, target = 0) { - slope_masked <- terra::mask( - slope, + slope_masked <- terra::mask(slope, terra::ifel(slope <= lthresh, NA, 1), updatevalue = lthresh) - - slope_masked <- terra::mask( - slope_masked, + slope_masked <- terra::mask(slope_masked, terra::vect(river), inverse = TRUE, updatevalue = target, @@ -292,8 +301,8 @@ get_valley_polygon_no_hole <- function(valley_polygon) { #' #' @param valley_mask raster mask of valley pixels #' -#' @return (multi)polygon representation of valley area -#' as st_geometry without holes +#' @return (multi)polygon representation of valley area as a simple feature +#' geometry without holes #' @export get_valley_polygon <- function(valley_mask) { val_poly <- CRiSp::get_valley_polygon_raw(valley_mask) |> diff --git a/data-raw/bucharest.R b/data-raw/bucharest.R index d53d788..4f6b5b0 100644 --- a/data-raw/bucharest.R +++ b/data-raw/bucharest.R @@ -5,8 +5,10 @@ epsg_code <- 32635 bbox_buffer <- 2000 # Fetch the OSM data -bucharest_osm <- CRiSp::get_osmdata(city_name, river_name, - crs = epsg_code, buffer = bbox_buffer) +bbox <- get_osm_bb(city_name) +bbox_expanded <- buffer_bbox(bbox, bbox_buffer) +bucharest_osm <- CRiSp::get_osmdata(bbox_expanded, city_name, river_name, + crs = epsg_code) # Fix encoding issue in the WKT strings fix_wkt_encoding <- function(x) { diff --git a/data/bucharest_dem.rda b/data/bucharest_dem.rda index 1b7f2d88647e9871a61eb7991d668d0aa8c87872..75e70b9a96523bbc954338690ce27fb7e5b16079 100644 GIT binary patch literal 3044445 zcmd?Q^-~;O&@j5V1=ry2PJ+9;FTO}{cY?dS1PJcV;<~uITX1)GOTx|b-tVpYe!G9b z?W(DBx~I>a_L`~bBd%w~$04RmtDzfNz84E?LjUpq2?soZ^Z+=(KY(M@1OU{_0Z?K< z(R}ql06lVXATj_-G(W%azftTyJ@7xa|33rW24k2J5cpVGgRg_EUejC&cHgXoRD-nq zHm`03mI3N9DkfLfLk0 z8a9Uk&ui9eI;>loYpQCVYrVU?M;svM!0O89?_ljzty&+*-3qX>#vZu*?Czajg-Txq 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