From ef4e0d89470de50518c3919d576b5d5277218919 Mon Sep 17 00:00:00 2001 From: Michael Dumelle Date: Thu, 16 Nov 2023 06:36:33 -0800 Subject: [PATCH 01/16] Changed network geometry name from netgeometry to netgeom to avoid exceeding the 10 character limit for column/field names while writing to shapefiles (#2) --- DESCRIPTION | 2 +- NAMESPACE | 2 +- NEWS.md | 8 +++++ R/SSN_to_SSN2.R | 12 ++++---- R/amongSitesDistMat.R | 4 +-- R/augment.R | 4 +-- R/create_netgeometry.R | 10 +++---- R/get_data_object.R | 2 +- R/get_data_object_glm.R | 2 +- R/get_dist_object.R | 8 ++--- R/get_dist_pred_object.R | 16 +++++----- R/get_dist_predbk_object.R | 8 ++--- R/ssn_create_distmat.R | 14 ++++----- R/ssn_get_netgeometry.R | 24 +++++++-------- R/ssn_import.R | 18 +++++------ R/ssn_import_predpts.R | 4 +-- R/ssn_put_data.R | 4 +-- R/ssn_split_predpts.R | 14 ++++----- R/ssn_subset.R | 14 ++++----- data/mf04p.rda | Bin 190640 -> 190643 bytes docs/articles/introduction.html | 28 +++++++++--------- docs/reference/augment.SSN2.html | 2 +- docs/reference/index.html | 4 +-- docs/reference/ssn_get_data.html | 4 +-- docs/reference/ssn_get_netgeometry.html | 24 +++++++-------- docs/reference/ssn_import.html | 12 ++++---- docs/sitemap.xml | 2 +- ..._get_netgeometry.Rd => ssn_get_netgeom.Rd} | 24 +++++++-------- man/ssn_import.Rd | 12 ++++---- vignettes/introduction.Rmd | 20 ++++++------- 30 files changed, 155 insertions(+), 147 deletions(-) rename man/{ssn_get_netgeometry.Rd => ssn_get_netgeom.Rd} (74%) diff --git a/DESCRIPTION b/DESCRIPTION index 2737425..278ae0e 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: SSN2 Title: Spatial Modeling on Stream Networks -Version: 0.1.0 +Version: 0.1.1 Authors@R: c( person(given = "Michael", family = "Dumelle", diff --git a/NAMESPACE b/NAMESPACE index 46801a8..b49b317 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -146,7 +146,7 @@ export(randcov_initial) export(randcov_params) export(ssn_create_distmat) export(ssn_get_data) -export(ssn_get_netgeometry) +export(ssn_get_netgeom) export(ssn_get_stream_distmat) export(ssn_glm) export(ssn_import) diff --git a/NEWS.md b/NEWS.md index 7e6f3ec..c1d2f85 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,11 @@ +# SSN 0.1.1 + +## Minor Updates + +* Changed network geometry name from `netgeometry` to `netgeom` to avoid exceeding the 10 character limit for column/field names while writing to shapefiles [(#2)](https://github.com/USEPA/SSN2/issues/2). + +## Bug Fixes + # SSN2 0.1.0 * Initial CRAN submission. diff --git a/R/SSN_to_SSN2.R b/R/SSN_to_SSN2.R index d9cbf16..f0da29a 100644 --- a/R/SSN_to_SSN2.R +++ b/R/SSN_to_SSN2.R @@ -53,7 +53,7 @@ SSN_to_SSN2 <- function(object, edge_additive = NULL, site_additive = NULL) { } ## --------------------------------------------------- - ## Convert edges to sf and add netgeometry column + ## Convert edges to sf and add netgeom column ## --------------------------------------------------- sl <- sp::SpatialLines(object@lines, proj4string = object@proj4string) @@ -62,7 +62,7 @@ SSN_to_SSN2 <- function(object, edge_additive = NULL, site_additive = NULL) { nl.coords <- object@network.line.coords - edges$netgeometry <- paste("ENETWORK", + edges$netgeom <- paste("ENETWORK", paste("(", paste( nl.coords$NetworkID, @@ -100,7 +100,7 @@ SSN_to_SSN2 <- function(object, edge_additive = NULL, site_additive = NULL) { ## ------------------------------------------------ - ## Convert observed sites to sf and add netgeometry + ## Convert observed sites to sf and add netgeom ## ------------------------------------------------ ## sites<- st_as_sf(sp::SpatialPointsDataFrame(object@obspoints@SSNPoints[[1]]@point.coords, ## object@obspoints@SSNPoints[[1]]@point.data, @@ -116,7 +116,7 @@ SSN_to_SSN2 <- function(object, edge_additive = NULL, site_additive = NULL) { np.coords <- object@obspoints@SSNPoints[[1]]@network.point.coords np.coords <- cbind(np.coords, sites[, c("ratio", "locID")]) np.coords$pid <- rownames(object@obspoints@SSNPoints[[1]]@network.point.coords) - sites$netgeometry <- paste( + sites$netgeom <- paste( "SNETWORK", paste( "(", @@ -161,7 +161,7 @@ SSN_to_SSN2 <- function(object, edge_additive = NULL, site_additive = NULL) { ## ------------------------------------------------------------- If ## prediction sites are present, convert to list of sf data.frames - ## and add netgeometry column + ## and add netgeom column ## ------------------------------------------------------------- if (length(object@predpoints@ID) > 0) { @@ -184,7 +184,7 @@ SSN_to_SSN2 <- function(object, edge_additive = NULL, site_additive = NULL) { tmp.sf[, c("ratio", "locID")] ) np.coords$pid <- rownames(object@predpoints@SSNPoints[[i]]@network.point.coords) - tmp.sf$netgeometry <- paste( + tmp.sf$netgeom <- paste( "SNETWORK", paste( "(", diff --git a/R/amongSitesDistMat.R b/R/amongSitesDistMat.R index e377226..7ae834f 100644 --- a/R/amongSitesDistMat.R +++ b/R/amongSitesDistMat.R @@ -13,7 +13,7 @@ amongSitesDistMat <- function(ssn, pids, name = "obs", bin.table) { if (name != "obs") { ind.pids <- ssn$preds[[name]]$ng.pid %in% as.character(pids) locID.pid.data <- ssn$preds[[name]]$locID[ind.pids] - pid.data <- ssn_get_netgeometry(ssn$preds[[name]][ind.pids, ], c( + pid.data <- ssn_get_netgeom(ssn$preds[[name]][ind.pids, ], c( "pid", "SegmentID", "locID", "DistanceUpstream" )) @@ -22,7 +22,7 @@ amongSitesDistMat <- function(ssn, pids, name = "obs", bin.table) { } else { ind.pids <- ssn$obs$ng.pid %in% as.character(pids) locID.pid.data <- ssn$obs$locID[ind.pids] - pid.data <- ssn_get_netgeometry(ssn$obs[ind.pids, ], c( + pid.data <- ssn_get_netgeom(ssn$obs[ind.pids, ], c( "pid", "SegmentID", "locID", "DistanceUpstream" ), reformat = TRUE) diff --git a/R/augment.R b/R/augment.R index 837895e..9542fea 100644 --- a/R/augment.R +++ b/R/augment.R @@ -111,7 +111,7 @@ augment.ssn_lm <- function(x, drop = TRUE, newdata = NULL, se_fit = FALSE, augment_data$.se.fit <- preds_data$se.fit } tibble_out <- tibble::tibble(cbind(data, augment_data, influence(x))) - tibble_out$pid <- ssn_get_netgeometry(x$ssn.object$obs, netvars = "pid")$pid + tibble_out$pid <- ssn_get_netgeom(x$ssn.object$obs, netvars = "pid")$pid coords <- sf::st_coordinates(x$ssn.object$obs) tibble_out$.xcoord <- coords[, 1, drop = TRUE] tibble_out$.ycoord <- coords[, 2, drop = TRUE] @@ -158,7 +158,7 @@ augment.ssn_lm <- function(x, drop = TRUE, newdata = NULL, se_fit = FALSE, } coords <- sf::st_coordinates(newdata) tibble_out <- tibble::tibble(cbind(sf::st_drop_geometry(newdata), augment_newdata)) - augment_newdata$pid <- ssn_get_netgeometry(newdata, netvars = "pid")$pid + augment_newdata$pid <- ssn_get_netgeom(newdata, netvars = "pid")$pid tibble_out$.xcoord <- coords[, 1, drop = TRUE] tibble_out$.ycoord <- coords[, 2, drop = TRUE] tibble_out <- sf::st_as_sf(tibble_out, coords = c(".xcoord", ".ycoord"), crs = x$crs) diff --git a/R/create_netgeometry.R b/R/create_netgeometry.R index cfdfd23..3def30e 100644 --- a/R/create_netgeometry.R +++ b/R/create_netgeometry.R @@ -1,12 +1,12 @@ -## Add netgeometry column to sf data.frame sf_data -create_netgeometry <- function(sf_data, type = NULL) { +## Add netgeom column to sf data.frame sf_data +create_netgeom <- function(sf_data, type = NULL) { if (type == "point") { - sf_data[, "netgeometry"] <- paste0("SNETWORK (", paste( + sf_data[, "netgeom"] <- paste0("SNETWORK (", paste( sf_data$netID, sf_data$rid, sf_data$upDist, sf_data$ratio, sf_data$pid, sf_data$locID ), ")", sep = "") } else { - sf_data[, "netgeometry"] <- paste0("ENETWORK (", paste( + sf_data[, "netgeom"] <- paste0("ENETWORK (", paste( sf_data$netID, sf_data$rid, sf_data$upDist @@ -15,5 +15,5 @@ create_netgeometry <- function(sf_data, type = NULL) { sep = "" ) } - return(sf_data) ## Return sf data.frame with netgeometry column added + return(sf_data) ## Return sf data.frame with netgeom column added } diff --git a/R/get_data_object.R b/R/get_data_object.R index 92b0bec..1296ac3 100644 --- a/R/get_data_object.R +++ b/R/get_data_object.R @@ -184,7 +184,7 @@ get_data_object <- function(formula, ssn.object, additive, anisotropy, order <- unlist(split(seq_len(n), local$index), use.names = FALSE) # store global pid - pid <- ssn_get_netgeometry(ssn.object$obs, "pid")$pid + pid <- ssn_get_netgeom(ssn.object$obs, "pid")$pid # restructure ssn ssn.object <- restruct_ssn_missing(ssn.object, observed_index, missing_index) diff --git a/R/get_data_object_glm.R b/R/get_data_object_glm.R index 78ed434..2147ae8 100644 --- a/R/get_data_object_glm.R +++ b/R/get_data_object_glm.R @@ -212,7 +212,7 @@ get_data_object_glm <- function(formula, ssn.object, family, additive, anisotrop order <- unlist(split(seq_len(n), local$index), use.names = FALSE) # store global pid - pid <- ssn_get_netgeometry(ssn.object$obs, "pid")$pid + pid <- ssn_get_netgeom(ssn.object$obs, "pid")$pid # restructure ssn ssn.object <- restruct_ssn_missing(ssn.object, observed_index, missing_index) diff --git a/R/get_dist_object.R b/R/get_dist_object.R index 13bcd90..8da4739 100644 --- a/R/get_dist_object.R +++ b/R/get_dist_object.R @@ -1,13 +1,13 @@ # parent function to get the distance object get_dist_object <- function(ssn.object, initial_object, additive, anisotropy) { - # get netgeometry - netgeometry <- ssn_get_netgeometry(ssn.object$obs, reformat = TRUE) + # get netgeom + netgeom <- ssn_get_netgeom(ssn.object$obs, reformat = TRUE) # get network index - network_index <- netgeometry$NetworkID + network_index <- netgeom$NetworkID # get pid - pid <- netgeometry$pid # not needed now but can reorder by it later + pid <- netgeom$pid # not needed now but can reorder by it later # distance order dist_order <- order(network_index, pid) diff --git a/R/get_dist_pred_object.R b/R/get_dist_pred_object.R index af56fc7..581e88e 100644 --- a/R/get_dist_pred_object.R +++ b/R/get_dist_pred_object.R @@ -1,13 +1,13 @@ # parent function to get the distance object get_dist_pred_object <- function(object, newdata_name, initial_object) { - # get netgeometry - netgeometry <- ssn_get_netgeometry(object$ssn.object$obs, reformat = TRUE) + # get netgeom + netgeom <- ssn_get_netgeom(object$ssn.object$obs, reformat = TRUE) # get network index - network_index <- netgeometry$NetworkID + network_index <- netgeom$NetworkID # get pid - pid <- netgeometry$pid + pid <- netgeom$pid # distance order dist_order <- order(network_index, pid) @@ -15,14 +15,14 @@ get_dist_pred_object <- function(object, newdata_name, initial_object) { # inverse of distance order inv_dist_order <- order(dist_order) - # get netgeometry - netgeometry_pred <- ssn_get_netgeometry(object$ssn.object$preds[[newdata_name]], reformat = TRUE) + # get netgeom + netgeom_pred <- ssn_get_netgeom(object$ssn.object$preds[[newdata_name]], reformat = TRUE) # get network pred index - network_index_pred <- netgeometry_pred$NetworkID + network_index_pred <- netgeom_pred$NetworkID # get pid - pid_pred <- netgeometry_pred$pid + pid_pred <- netgeom_pred$pid # distance order dist_order_pred <- order(network_index_pred, pid_pred) diff --git a/R/get_dist_predbk_object.R b/R/get_dist_predbk_object.R index 5f28b3f..9b18379 100644 --- a/R/get_dist_predbk_object.R +++ b/R/get_dist_predbk_object.R @@ -1,13 +1,13 @@ # parent function to get the distance object get_dist_predbk_object <- function(object, newdata_name, initial_object) { - # get netgeometry - netgeometry <- ssn_get_netgeometry(object$ssn.object$preds[[newdata_name]], reformat = TRUE) + # get netgeom + netgeom <- ssn_get_netgeom(object$ssn.object$preds[[newdata_name]], reformat = TRUE) # get network index - network_index <- netgeometry$NetworkID + network_index <- netgeom$NetworkID # get pid - pid <- netgeometry$pid + pid <- netgeom$pid # distance order dist_order <- order(network_index, pid) diff --git a/R/ssn_create_distmat.R b/R/ssn_create_distmat.R index 8ac299c..bebb86c 100644 --- a/R/ssn_create_distmat.R +++ b/R/ssn_create_distmat.R @@ -197,9 +197,9 @@ ssn_create_distmat <- function(ssn.object, predpts = NULL, overwrite = FALSE, if (!file.exists(file.path(ssn$path, "distance", predpts))) { dir.create(file.path(ssn$path, "distance", predpts)) } - ## Extract netgeometry data from predpts and format + ## Extract netgeom data from predpts and format tmp.df <- ssn_get_data(ssn, predpts) - n.geom <- ssn_get_netgeometry(ssn$preds[[predpts]]) + n.geom <- ssn_get_netgeom(ssn$preds[[predpts]]) colnames(n.geom)[4:6] <- paste0("ng.", colnames(n.geom[4:6])) n.geom$NetworkID <- as.factor(n.geom$NetworkID) n.geom$DistanceUpstream <- as.numeric(n.geom$DistanceUpstream) @@ -208,9 +208,9 @@ ssn_create_distmat <- function(ssn.object, predpts = NULL, overwrite = FALSE, rm(tmp.df, n.geom) } - ## Extract netgeometry and format obs data + ## Extract netgeom and format obs data tmp.df <- ssn_get_data(ssn) - n.geom <- ssn_get_netgeometry(ssn$obs) + n.geom <- ssn_get_netgeom(ssn$obs) colnames(n.geom)[4:6] <- paste0("ng.", colnames(n.geom[4:6])) n.geom$NetworkID <- as.factor(n.geom$NetworkID) n.geom$DistanceUpstream <- as.numeric(n.geom$DistanceUpstream) @@ -229,8 +229,8 @@ ssn_create_distmat <- function(ssn.object, predpts = NULL, overwrite = FALSE, net.count <- length(site.nets) warned.overwrite <- FALSE - ## Extract netgeometry and format edges data - ssn$edges <- cbind(ssn$edges, ssn_get_netgeometry(ssn$edges)) + ## Extract netgeom and format edges data + ssn$edges <- cbind(ssn$edges, ssn_get_netgeom(ssn$edges)) ssn$edges$NetworkID <- as.factor(ssn$edges$NetworkID) ssn$edges$DistanceUpstream <- as.numeric(ssn$edges$DistanceUpstream) @@ -368,7 +368,7 @@ ssn_create_distmat <- function(ssn.object, predpts = NULL, overwrite = FALSE, ## locID.obi<- ssn$obs$ng.locID ## Create data.frame for obs with columns pid, rid, locID - ob.i <- ssn_get_netgeometry(ssn$obs[ind.obs, ], c("pid", "SegmentID", "locID"), + ob.i <- ssn_get_netgeom(ssn$obs[ind.obs, ], c("pid", "SegmentID", "locID"), reformat = TRUE) ##ob.i <- as.data.frame(sapply(ob.i, as.numeric)) colnames(ob.i) <- c("pid", "rid", "locID") diff --git a/R/ssn_get_netgeometry.R b/R/ssn_get_netgeometry.R index 2b56042..9192241 100644 --- a/R/ssn_get_netgeometry.R +++ b/R/ssn_get_netgeometry.R @@ -1,9 +1,9 @@ -#' @title Extract netgeometry column +#' @title Extract netgeom column #' -#' @description Extract topological information from netgeometry column +#' @description Extract topological information from netgeom column #' #' @param x An sf data.frame found in an \code{SSN} object or the -#' netgeometry column as a vector +#' netgeom column as a vector #' #' @param netvars Network coordinate variables to return. Default is #' "all". For edges, valid column names include: "NetworkID", @@ -13,17 +13,17 @@ #' @param reformat Convert network coordinate variables from character to numeric. #' #' @details When an \code{SSN} object is generated using the -#' \code{importSSN} function, a text column named "netgeometry" is added +#' \code{importSSN} function, a text column named "netgeom" is added #' to the edges, observed sites, and prediction sites (if they -#' exist) data.frames. The netgeometry column contains data used to +#' exist) data.frames. The netgeom column contains data used to #' describe how edge and site features relate to one another in -#' topological space. For edges, netgeometry values contain the +#' topological space. For edges, netgeom values contain the #' "ENETWORK" prefix, with 3 space delimited values in parentheses: #' "ENETWORK (NetworkID SegmentID DistanceUpstream)". For point #' datasets (observed and prediction sites), the values contain the #' "SNETWORK" prefix, followed by 6 space delimited values in parentheses: #' "SNETWORK (NetworkID SegmentID DistanceUpstream ratio pid locID)". The -#' \code{ssn_get_netgeometry} function extracts and converts these +#' \code{ssn_get_netgeom} function extracts and converts these #' values from text to numeric, returning either a data.frame #' (default) or vector containing the variables requested via #' \code{netvars}. @@ -32,7 +32,7 @@ #' function returns a data.frame (default). If only one column is #' requested, the result is a vector. #' -#' @name ssn_get_netgeometry +#' @name ssn_get_netgeom #' @export #' #' @examples @@ -43,9 +43,9 @@ #' temp_path <- paste0(tempdir(), "/MiddleFork04.ssn") #' mf04p <- ssn_import(temp_path, overwrite = TRUE) #' -#' ssn_get_netgeometry(mf04p$obs) -#' ssn_get_netgeometry(mf04p$edges, "DistanceUpstream") -ssn_get_netgeometry <- function(x, netvars = "all", reformat = FALSE) { +#' ssn_get_netgeom(mf04p$obs) +#' ssn_get_netgeom(mf04p$edges, "DistanceUpstream") +ssn_get_netgeom <- function(x, netvars = "all", reformat = FALSE) { # I think this should be an SSN obejct and we should have another column # for "type" which can be "edges", "obs", or a prediction name if (inherits(x, "SSN")) { @@ -54,7 +54,7 @@ ssn_get_netgeometry <- function(x, netvars = "all", reformat = FALSE) { if (inherits(x, "data.frame")) { - x <- x$netgeometry + x <- x$netgeom } ## delete "network" diff --git a/R/ssn_import.R b/R/ssn_import.R index 18de631..584063d 100644 --- a/R/ssn_import.R +++ b/R/ssn_import.R @@ -52,13 +52,13 @@ #' contents is provided in Peterson and Ver Hoef (2014). #' #' The \command{ssn_import} imports the edges, observed sites, and -#' prediction sites as \code{sf data.frame} objects. A new column named 'netgeometry' +#' prediction sites as \code{sf data.frame} objects. A new column named 'netgeom' #' is created to store important data that represents #' topological relationships in a spatial stream network #' model. These data are stored in character format, which is less #' likely to be inadvertantly changed by users. See -#' \code{\link[SSN2]{ssn_get_netgeometry}} for a more detailed description of -#' the format and contents of 'netgeometry'. +#' \code{\link[SSN2]{ssn_get_netgeom}} for a more detailed description of +#' the format and contents of 'netgeom'. #' #' The information contained in the netID text files is imported #' into an SQLite database, binaryID.db, which is stored in the .ssn @@ -90,9 +90,9 @@ #' with four elements containing: #' \itemize{ #' \item{\code{edges}: An \code{sf data.frame} containing the stream network, -#' with an additional 'netgeometry' column.} +#' with an additional 'netgeom' column.} #' \item{\code{obs}: An sf data.frame containing observed site locations, -#' with an additional 'netgeometry' column. NA if \code{include_obs = +#' with an additional 'netgeom' column. NA if \code{include_obs = #' FALSE}.} #' \item{\code{preds}: A list of sf data.frames containing prediction #' site locations. The names of the preds list correspond to the @@ -101,7 +101,7 @@ #' \item{path: The local file to the .ssn directory associated with the \code{SSN} #' object.} #' } -#' @seealso [ssn_get_netgeometry] +#' @seealso [ssn_get_netgeom] #' @references #' Kattwinkel, M., Szocs, E., Peterson, E., and Schafer, #' R.B. (2020) Preparing GIS data for analysis of stream monitoring @@ -172,7 +172,7 @@ ssn_import <- function(path, include_obs = TRUE, predpts, stop("Observed sites do not have POINT geometry") } ## Add network geometry column - sfsites[, "netgeometry"] <- paste0("SNETWORK (", paste( + sfsites[, "netgeom"] <- paste0("SNETWORK (", paste( sfsites$netID, sfsites$rid, sfsites$upDist, sfsites$ratio, sfsites$pid, sfsites$locID ), @@ -254,7 +254,7 @@ ssn_import <- function(path, include_obs = TRUE, predpts, } ## Add network geometry column - tmp.preds[, "netgeometry"] <- paste0("SNETWORK (", paste( + tmp.preds[, "netgeom"] <- paste0("SNETWORK (", paste( tmp.preds$netID, tmp.preds$rid, tmp.preds$upDist, @@ -312,7 +312,7 @@ ssn_import <- function(path, include_obs = TRUE, predpts, ## Add network geometry column to edges - sfedges[, "netgeometry"] <- paste0("ENETWORK (", paste( + sfedges[, "netgeom"] <- paste0("ENETWORK (", paste( sfedges$netID, sfedges$rid, sfedges$upDist diff --git a/R/ssn_import_predpts.R b/R/ssn_import_predpts.R index 46add63..a79e127 100644 --- a/R/ssn_import_predpts.R +++ b/R/ssn_import_predpts.R @@ -161,8 +161,8 @@ ssn_import_predpts <- function(x, predpts, } } - ## Add netgeometry column - predpoints[, "netgeometry"] <- paste0("SNETWORK (", paste( + ## Add netgeom column + predpoints[, "netgeom"] <- paste0("SNETWORK (", paste( predpoints$netID, predpoints$rid, predpoints$upDist, diff --git a/R/ssn_put_data.R b/R/ssn_put_data.R index 918af9f..6809d94 100644 --- a/R/ssn_put_data.R +++ b/R/ssn_put_data.R @@ -62,8 +62,8 @@ ssn_put_data <- stop(paste0("sf_data must be an sf data.frame with POINT geometry")) } - if (!"netgeometry" %in% names(sf_data)) { - stop("'netgeometry' column is missing in sf_data\n") + if (!"netgeom" %in% names(sf_data)) { + stop("'netgeom' column is missing in sf_data\n") } if (!inherits(x, c("SSN", "ssn_lm", "ssn_glm"))) { diff --git a/R/ssn_split_predpts.R b/R/ssn_split_predpts.R index db108bb..cb52699 100644 --- a/R/ssn_split_predpts.R +++ b/R/ssn_split_predpts.R @@ -122,14 +122,14 @@ ssn_split_predpts <- function(ssn, predpts, size_predpts, by, } ## Get vector of pids in obs and all sets of preds - pid.vec <- ssn_get_netgeometry(ssn$obs, + pid.vec <- ssn_get_netgeom(ssn$obs, netvars = "all", reformat = TRUE ) pid.vec <- pid.vec$pid for (i in seq_len(length(ssn$preds))) { - tmp <- ssn_get_netgeometry(ssn$preds[[i]], + tmp <- ssn_get_netgeom(ssn$preds[[i]], netvars = "all", reformat = TRUE ) @@ -151,11 +151,11 @@ ssn_split_predpts <- function(ssn, predpts, size_predpts, by, ## REPLACE PID VALUES IF NECESSARY if (keep == TRUE) { ## Replace network geometry columns in predpts with values from - ## netgeometry + ## netgeom ng.cols <- c("netID", "rid", "upDist", "ratio", "pid", "locID") ind <- colnames(ssn$preds[[predpts]]) %in% ng.cols ssn$preds[[predpts]] <- ssn$preds[[predpts]][, !ind] - ng.df <- ssn_get_netgeometry(ssn$preds[[predpts]], + ng.df <- ssn_get_netgeom(ssn$preds[[predpts]], netvars = "all", reformat = TRUE ) @@ -175,10 +175,10 @@ ssn_split_predpts <- function(ssn, predpts, size_predpts, by, pid.vec <- append(pid.vec, tmp.pid) rm(tmp.pid) - ## Recreate netgeometry - ind <- colnames(tmp) == "netgeometry" + ## Recreate netgeom + ind <- colnames(tmp) == "netgeom" tmp <- tmp[, !ind] - tmp <- create_netgeometry(tmp, "point") + tmp <- create_netgeom(tmp, "point") ## Replace predpts with updated data.frame ssn$preds[[predpts]] <- tmp diff --git a/R/ssn_subset.R b/R/ssn_subset.R index b6a9c38..4e23b8e 100644 --- a/R/ssn_subset.R +++ b/R/ssn_subset.R @@ -91,14 +91,14 @@ ssn_subset <- function(ssn, path, subset, clip = FALSE, overwrite = FALSE) { s <- deparse(substitute(subset)) ## ##s<- deparse(substitute(netID == 2)) - ## If the subset expression contains special netgeometry columns + ## If the subset expression contains special netgeom columns if (grepl( pattern = "netID|rid|upDist|ratio|pid|locID", s ) == TRUE) { - ## Identify which netgeometry columns are used + ## Identify which netgeom columns are used data.cols <- c("netID", "rid", "upDist", "ratio", "pid", "locID") - netg.obs <- ssn_get_netgeometry(ssn.tmp$obs, reformat = TRUE) + netg.obs <- ssn_get_netgeom(ssn.tmp$obs, reformat = TRUE) colnames(netg.obs) <- data.cols ind <- colnames(ssn.tmp$obs) %in% data.cols @@ -123,7 +123,7 @@ ssn_subset <- function(ssn, path, subset, clip = FALSE, overwrite = FALSE) { ssn.tmp$obs <- ssn.tmp$obs[ind, ] rm(ind) - ## Fix netgeometry column names if necessary + ## Fix netgeom column names if necessary if (exists("netg.obs")) { ind <- colnames(ssn.tmp$obs) %in% data.cols ssn.tmp$obs <- ssn.tmp$obs[, !ind] @@ -159,10 +159,10 @@ ssn_subset <- function(ssn, path, subset, clip = FALSE, overwrite = FALSE) { ## Clip everything based on subset expression } else { - ## If subset expression depends on netgeometry columns then extract and + ## If subset expression depends on netgeom columns then extract and ## rename them if (exists("netg.obs")) { - netg.edges <- ssn_get_netgeometry(ssn.tmp$edges, reformat = TRUE) + netg.edges <- ssn_get_netgeom(ssn.tmp$edges, reformat = TRUE) colnames(netg.edges) <- data.cols[1:3] ind <- colnames(ssn.tmp$edges) %in% data.cols[1:3] colnames(ssn.tmp$edges)[ind] <- paste0("._", colnames(ssn.tmp$edges)[ind], "_") @@ -210,7 +210,7 @@ ssn_subset <- function(ssn, path, subset, clip = FALSE, overwrite = FALSE) { pred.name <- attributes(ssn.tmp$preds)$names[i] if (exists("netg.obs")) { - netg.pred <- ssn_get_netgeometry(ssn.tmp$preds[[pred.name]], reformat = TRUE) + netg.pred <- ssn_get_netgeom(ssn.tmp$preds[[pred.name]], reformat = TRUE) colnames(netg.pred) <- data.cols ind <- colnames(ssn.tmp$preds[[pred.name]]) %in% data.cols colnames(ssn.tmp$preds[[pred.name]])[ind] <- diff --git a/data/mf04p.rda b/data/mf04p.rda index e776688f0023c36e99874182d193b660461e90df..5b6a05234c9e2598bfb13b30a583df603da3ed2d 100644 GIT binary patch delta 185457 zcmZ5{1ymeOv-aY)xMXpc5JGl=;O-FIk`Nq%Yj7Rh9fCUnf@^Sh3m)8^;O_AAesceN 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zn|H@UZoqtsQ$xsjxfv0D>|ERJb?L0ozKLWLsnp7>)`y}w3{T@HXxOG*&Yzw0kR-X2|8u0>aNOe_cP&6R)F>_l zZlXT%d4ko6n;Kt+v^#LQ$KSO%oJkzky(+dCBchoXseQM9S?Gkb`uZ8|M92m( z?Wyy;I4*K|@WQQ}bG^JK?~gP2KHIe|+_~q3w`nAIN&!7Z422atr66wHI%rZIU9+eK z`DBVVlhNSONBa7N5;WJ_#Tx^3DzyW8Ce9y%x)>mgnoWUrk&=)1)fI#`{P12XrWi1& m8#BFUv48HQ< path: A character string that represents the path to the relevant .ssn directory stored on your computer. -

A netgeometry (short for “network geometry”) column is +

A netgeom (short for “network geometry”) column is also added to each of the sf objects stored within an -SSN object. The netgeometry column contains a +SSN object. The netgeom column contains a character string describing the position of each line (edges) and point (obs and preds) feature in relation to one another. The format of the -netgeometry column differs depending on whether it is +netgeom column differs depending on whether it is describing a feature with LINESTRING or POINT -geometry. For edges, the format of netgeometry is

+geometry. For edges, the format of netgeom is

"ENETWORK (netID rid upDist)",

and for sites

"SNETWORK (netID rid upDist ratio pid locID)",

-

The data used to define the netgeometry column +

The data used to define the netgeom column are found in the edges, observed sites, and prediction sites shapefiles, which are created using the STARS or openSTARS software. For @@ -258,7 +258,7 @@

distance between the most downstream location on the stream network (i.e., stream outlet) to the upstream node of each edge segment, when movement is restricted to the stream network (upDist). The -netgeometry column for sites also contains the +netgeom column for sites also contains the netID and rid for the edge on which the site resides. The point identifier (pid) is unique to each measurement, while the location identifier (locID) is @@ -277,11 +277,11 @@

key pieces of data are used to describe which network and edge each site resides on, as well as where exactly the site is on each line segment. It may at first seem redundant to combine and store multiple numeric -columns as text in the netgeometry column. However, these +columns as text in the netgeom column. However, these data dictate how the observed and prediction sites relate to one another in topological space, which impacts parameter estimates and predicted values generated from fitted models. Storing these data as text in the -netgeometry column significantly reduces the chance that +netgeom column significantly reduces the chance that these values are accidentally (and unknowingly) altered by a user.

The Middle Fork Data @@ -327,25 +327,25 @@

The Middle Fork Data#> [11] "C20" "C24" "FlowCMS" "AirMEANc" "AirMWMTc" #> [16] "NEAR_X" "NEAR_Y" "rid" "ratio" "afvArea" #> [21] "upDist" "locID" "netID" "pid" "geometry" -#> [26] "netgeometry" +#> [26] "netgeom" #> #> $pred1km #> [1] "COMID" "GNIS_NAME" "CDRAINAG" "AREAWTMAP" "SLOPE" #> [6] "ELEV_DEM" "FlowCMS" "AirMEANc" "AirMWMTc" "NEAR_X" #> [11] "NEAR_Y" "rid" "ratio" "afvArea" "upDist" -#> [16] "locID" "netID" "pid" "geometry" "netgeometry" +#> [16] "locID" "netID" "pid" "geometry" "netgeom" #> #> $CapeHorn #> [1] "COMID" "GNIS_NAME" "CDRAINAG" "AREAWTMAP" "SLOPE" #> [6] "ELEV_DEM" "FlowCMS" "AirMEANc" "AirMWMTc" "NEAR_X" #> [11] "NEAR_Y" "rid" "ratio" "afvArea" "upDist" -#> [16] "locID" "netID" "pid" "geometry" "netgeometry" +#> [16] "locID" "netID" "pid" "geometry" "netgeom" #> #> $Knapp #> [1] "COMID" "GNIS_NAME" "CDRAINAG" "AREAWTMAP" "SLOPE" #> [6] "ELEV_DEM" "FlowCMS" "AirMEANc" "AirMWMTc" "NEAR_X" #> [11] "NEAR_Y" "rid" "ratio" "afvArea" "upDist" -#> [16] "locID" "netID" "pid" "geometry" "netgeometry" +#> [16] "locID" "netID" "pid" "geometry" "netgeom"

We see that mf04p contains 45 observation sites and a total of 2102 prediction sites stored in three different prediction datasets. We will explore several of these variables throughout the rest @@ -1470,8 +1470,8 @@

Function Glossaryssn_get_netgeometry(): Extract topological information -from the netgeometry column. +ssn_get_netgeom(): Extract topological information +from the netgeom column.
  • ssn_get_stream_distmat(): Extract the stream distance matrices for the observed or prediction locations in an SSN diff --git a/docs/reference/augment.SSN2.html b/docs/reference/augment.SSN2.html index 3f3a240..99b955f 100644 --- a/docs/reference/augment.SSN2.html +++ b/docs/reference/augment.SSN2.html @@ -260,7 +260,7 @@

    Examples#> # ℹ 644 more rows #> # ℹ 13 more variables: AirMWMTc <dbl>, NEAR_X <dbl>, NEAR_Y <dbl>, rid <int>, #> # ratio <dbl>, afvArea <chr>, upDist <dbl>, locID <int>, netID <int>, -#> # pid <int>, netgeometry <chr>, .fitted <dbl>, geometry <POINT [m]> +#> # pid <int>, netgeom <chr>, .fitted <dbl>, geometry <POINT [m]>