# Interpreted GRASS interface functions
# Copyright (c) 2015-22 Roger S. Bivand
#
vInfo <- function(vname, layer, ignore.stderr = NULL) {
if (get.suppressEchoCmdInFuncOption()) {
inEchoCmd <- get.echoCmdOption()
tull <- set.echoCmdOption(FALSE)
}
if (is.null(ignore.stderr))
ignore.stderr <- get("ignore.stderr", envir = .GRASS_CACHE)
stopifnot(is.logical(ignore.stderr))
if (missing(layer)) layer <- "1"
layer <- as.character(layer)
vinfo0 <- execGRASS("v.info", flags="t", map=vname,
layer=layer, intern=TRUE, ignore.stderr=ignore.stderr)
# fix to avoid locale problems 091022
vinfo1 <- gsub("=", ":", vinfo0)
con <- textConnection(vinfo1)
res <- drop(read.dcf(con))
close(con)
if (get.suppressEchoCmdInFuncOption()) {
tull <- set.echoCmdOption(inEchoCmd)
}
storage.mode(res) <- "integer"
res
}
vColumns <- function(vname, layer, ignore.stderr = NULL) {
if (get.suppressEchoCmdInFuncOption()) {
inEchoCmd <- get.echoCmdOption()
tull <- set.echoCmdOption(FALSE)
}
if (is.null(ignore.stderr))
ignore.stderr <- get("ignore.stderr", envir = .GRASS_CACHE)
stopifnot(is.logical(ignore.stderr))
if (missing(layer)) layer <- "1"
layer <- as.character(layer)
vinfo0 <- execGRASS("v.info", flags="c", map=vname,
layer=layer, intern=TRUE, ignore.stderr=ignore.stderr)
vinfo1 <- strsplit(vinfo0, "\\|")
vinfo2 <- vinfo1[sapply(vinfo1, length) == 2]
if (length(vinfo1) != length(vinfo2))
warning("vColumns: v.info -c output not in two columns:\n",
paste(vinfo1[sapply(vinfo1, length) != 2]))
res <- as.data.frame(do.call("rbind", vinfo2))
names(res) <- c("storageType", "name")
if (get.suppressEchoCmdInFuncOption()) {
tull <- set.echoCmdOption(inEchoCmd)
}
res
}
vDataCount <- function(vname, layer, ignore.stderr = NULL) {
if (get.suppressEchoCmdInFuncOption()) {
inEchoCmd <- get.echoCmdOption()
tull <- set.echoCmdOption(FALSE)
}
if (is.null(ignore.stderr))
ignore.stderr <- get("ignore.stderr", envir = .GRASS_CACHE)
stopifnot(is.logical(ignore.stderr))
column <- "column" %in% parseGRASS("v.db.select")$pnames
if (missing(layer)) layer <- "1"
layer <- as.character(layer)
parms <- list(map=vname, layer=as.character(layer), columns="cat")
if (column) tull <- execGRASS("v.db.select", flags="c",
parameters=parms, intern=TRUE, ignore.stderr=ignore.stderr)
else tull <- execGRASS("v.db.select", flags="c",
parameters=parms, intern=TRUE, ignore.stderr=ignore.stderr)
n <- length(tull)
if (get.suppressEchoCmdInFuncOption()) {
tull <- set.echoCmdOption(inEchoCmd)
}
n
}
#Date: Thu, 13 Oct 2005 17:34:06 +0200
#From: Markus Neteler <neteler@itc.it>
#
#EXERCISE: HOW LONG ARE COMMON BOUNDARIES OF POLYGONS?
#
#
## Requires: GRASS 6.1-CVS from 13 Oct 2005 or later
##
## data: sudden infant deaths data from North Carolina
## data imported from SHAPE file with v.in.ogr
#
##let's have a look
# d.mon x0
# d.vect sids
#
##we work on a copy:
# g.copy vect=sids,sids_nc
#
##we add a second layer to the map which references the boundaries of
##polygons. In the vector geometry we generate an ID (category) for each
##boundary:
# v.category sids_nc out=sids_nc2 layer=2 type=boundary option=add
#
##Underlying idea:
##we'll fetch the IDs (categories) of the polygons left and right from
##each boundary and store it into the attribute table linked to layer 2.
##In general:
## cat_of_boundary | cat_of_left_polygon | cat_of_right_polygon | length_of_boundary
##
##We want only one category per boundary, that's why the sides check is
##needed (a boundary may consist of several pieces)
##
##So we create a new attribute table and link it to the new layer 2
##of the vector map:
# v.db.addtable sids_nc2 layer=2 col="left integer,right integer,length integer"
#
##Now we query the polygon/boundary relationsships and store it into
##the attribute table linked to layer 2:
# v.to.db map=sids_nc2 option=sides col=left,right layer=2
#
##Now we have unique categories for the boundaries and can calculate the
##lengths:
# v.to.db map=sids_nc2 option=length col=length layer=2
#
##Done.
#
##See the new attribute table containing the boundary lengths:
# v.db.select sids_nc2 layer=2
#
## verification (let's check boundary #193):
# d.vect sids_nc2 cat=193 layer=2 col=red type=boundary
# d.zoom
# d.measure
## LEN: 12756.00 meters
#
##what does the attribute table say:
# v.db.select sids_nc2 layer=2 | grep '^193'
##190|65|68|12814
#
##This is reasonably close since on screen digitization in d.measure
##isn't always that precise ...
#
vect2neigh <- function(vname, ID=NULL, ignore.stderr = NULL, remove=TRUE,
vname2=NULL, units="k") {
if (get.suppressEchoCmdInFuncOption()) {
inEchoCmd <- get.echoCmdOption()
tull <- set.echoCmdOption(FALSE)
}
if (is.null(ignore.stderr))
ignore.stderr <- get("ignore.stderr", envir = .GRASS_CACHE)
stopifnot(is.logical(ignore.stderr))
vinfo <- vInfo(vname)
types <- names(vinfo)[which(vinfo > 0)]
if (length(grep("areas", types)) == 0)
stop("Vector object not of area type")
n <- vDataCount(vname, ignore.stderr=ignore.stderr)
if (!is.null(ID)) {
if (!is.character(ID)) stop("ID not character string")
# cmd <- paste(paste("v.info", .addexe(), sep=""),
# " -c ", vname, sep="")
# if(.Platform$OS.type == "windows")
# tull <- system(cmd, intern=TRUE)
# else tull <- system(cmd, intern=TRUE,
# ignore.stderr=ignore.stderr)
tull <- execGRASS("v.info", flags="c",
map=vname, intern=TRUE,
ignore.stderr=ignore.stderr)
if (length(grep(ID, tull)) == 0)
stop("ID not found")
# cmd <- paste(paste("v.db.select", .addexe(), sep=""),
# " -c map=", vname, " column=",
# ID, sep="")
# if(.Platform$OS.type == "windows")
# ID <- as.character(system(cmd, intern=TRUE))
# else ID <- as.character(system(cmd, intern=TRUE,
# ignore.stderr=ignore.stderr))
ID <- execGRASS("v.db.select", flags="c",
map=vname, columns=ID, intern=TRUE,
ignore.stderr=ignore.stderr)
if (length(unique(ID)) != n)
stop("fewer than n unique ID values")
}
vname2_was_null <- FALSE
if (is.null(vname2)) {
pid <- as.integer(round(runif(1, 1, 1000)))
vname2 <- paste(vname, pid, sep="")
tull <- execGRASS("g.remove", type="vector", name=vname2, flags="f",
intern=TRUE, ignore.stderr=ignore.stderr)
# cmd <- paste(paste("g.copy", .addexe(), sep=""),
# " vect=", vname, ",", vname2, sep="")
# if(.Platform$OS.type == "windows") tull <- system(cmd, intern=TRUE)
# else tull <- system(cmd, intern=TRUE, ignore.stderr=ignore.stderr)
tull <- execGRASS("g.copy", vector=paste(vname,
vname2, sep=","), flags="overwrite", intern=TRUE,
ignore.stderr=ignore.stderr)
vname2_was_null <- TRUE
}
vname2a <- paste(vname2, "a", sep="")
if (vname2_was_null) {
# cmd <- paste(paste("v.category", .addexe(), sep=""),
# " ", vname2, " out=", vname2a,
# " layer=2 type=boundary option=add", sep="")
# if(.Platform$OS.type == "windows") tull <- system(cmd, intern=TRUE)
# else tull <- system(cmd, intern=TRUE, ignore.stderr=ignore.stderr)
tull <- execGRASS("v.category", input=vname2,
output=vname2a, layer=as.character(2), type="boundary",
option="add", flags="overwrite", intern=TRUE, ignore.stderr=ignore.stderr)
# cmd <- paste(paste("v.db.addtable", .addexe(), sep=""),
# " ", vname2a,
# " layer=2 col=\"left integer,right integer,length double precision\"",
# sep="")
# if(.Platform$OS.type == "windows") system(cmd)
# else system(cmd, ignore.stderr=ignore.stderr)
execGRASS("v.db.addtable", map=vname2a,
layer=as.integer(2),
columns="left integer,right integer,length double precision",
ignore.stderr=ignore.stderr)
# Using vector map name extended by layer number as table name: landuse175a_2
#Creating table with columns (cat integer, left integer,right integer,length
# double precision)
# The table <landuse175a_2> is now part of vector map <landuse175a> and may
# be deleted or overwritten by GRASS modules
# Select privileges were granted on the table
# Reading features...
#
# and: no such driver available
# WARNING: Unable to start driver <and>
# ERROR: Unable to open database <C:\Documents> by driver <and>
# Current attribute table links:
# layer <1> table <landuse175a> in database <C:\Documents and Settings\s1155\My Documents\GIS DataBase/Spearfish60/s1155/dbf/> through driver <dbf> with key <cat>
# layer <2> table <landuse175a_2> in database <C:\Documents> through driver <and> with key <cat>
# Vector map <landuse175a@s1155> is connected by:
# cmd <- paste(paste("v.to.db", .addexe(), sep=""),
# " map=", vname2a,
# " option=sides col=left,right layer=2", sep="")
# if(.Platform$OS.type == "windows") system(cmd)
# else system(cmd, ignore.stderr=ignore.stderr)
execGRASS("v.to.db", flags=c("overwrite"), map=vname2a, option="sides",
columns="left,right", layer=as.character(2),
ignore.stderr=ignore.stderr)
# cmd <- paste(paste("v.to.db", .addexe(), sep=""),
# " map=", vname2a,
# " option=length col=length layer=2", sep="")
# if(.Platform$OS.type == "windows") system(cmd)
# else system(cmd, ignore.stderr=ignore.stderr)
execGRASS("v.to.db", flags=c("overwrite"), map=vname2a, option="length",
columns="length", layer=as.character(2), units=units,
ignore.stderr=ignore.stderr)
# cmd <- paste(paste("v.db.select", .addexe(), sep=""),
# " ", vname2a, " layer=2", sep="")
#
# if(.Platform$OS.type == "windows") res <- system(cmd, intern=TRUE)
# else res <- system(cmd, intern=TRUE, ignore.stderr=ignore.stderr)
}
res <- execGRASS("v.db.select", map=vname2a,
layer=as.character(2), flags="overwrite", intern=TRUE,
ignore.stderr=ignore.stderr)
# cmd <- paste(paste("g.remove", .addexe(), sep=""),
# " vect=", vname2, ",", vname2a, sep="")
# if(.Platform$OS.type == "windows") tull <- system(cmd, intern=TRUE)
# else tull <- system(cmd, intern=TRUE, ignore.stderr=ignore.stderr)
if (remove) tull <- execGRASS("g.remove",
name=paste(vname2, vname2a, sep=","), type="vector",
intern=TRUE, ignore.stderr=ignore.stderr)
con <- textConnection(res)
t2 <- read.table(con, sep="|", header=TRUE, row.names=1)
close(con)
t3 <- t2[t2$left == -1,]
t4 <- tapply(t3$length, t3$right, sum)
external <- numeric(n)
external[as.integer(names(t4))] <- t4
t5 <- t2[!t2$left == -1,]
tmp <- t5$left
t5$left <- t5$right
t5$right <- tmp
t6 <- rbind(t2, t5)
total <- c(tapply(t6$length, t6$right, sum))
res <- t6[!t6$left == -1,]
# avoid integer overflow in by=
# res <- aggregate(res[3], by=list(left=res$left, right=res$right), sum)
# dups <- duplicated(res[,1:2])
# resd <- res[dups,]
# resda <- aggregate(resd[3], by=list(left=resd$left,
# right=resd$right), sum)
# resnd <- res[!dups,]
# res <- rbind(resda, resnd)
zz <- paste(res$left, res$right, sep=":")
uzz <- unique(zz)
mo <- match(zz, uzz)
smo <- c(tapply(res[,3], mo, sum))
names(smo) <- NULL
suzz <- strsplit(uzz, ":")
lsuzz <- as.integer(sapply(suzz, "[", 1))
rsuzz <- as.integer(sapply(suzz, "[", 2))
reso <- data.frame(left=lsuzz, right=rsuzz, length=smo)
o <- order(reso$left, reso$right)
reso <- reso[o,]
attr(reso, "external") <- external
attr(reso, "total") <- total
attr(reso, "region.id") <- ID
attr(reso, "n") <- n
class(reso) <- c(class(reso), "GRASSneigh", "spatial.neighbour")
if (get.suppressEchoCmdInFuncOption()) {
tull <- set.echoCmdOption(inEchoCmd)
}
reso
}
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