snapPointsToLines 不能保留 R 中的属性
snapPointsToLines can't keep attributes in R
最近发现snapPointsToLines的问题。它不能保留空间点数据框的属性。范例如下:
# Generate a spatial line dataframe
l1 = cbind(c(1,2,3),c(3,2,2))
l1a = cbind(l1[,1]+.05,l1[,2]+.05)
l2 = cbind(c(1,2,3),c(1,1.5,1))
Sl1 = Line(l1)
Sl1a = Line(l1a)
Sl2 = Line(l2)
S1 = Lines(list(Sl1, Sl1a), ID="a")
S2 = Lines(list(Sl2), ID="b")
Sl = SpatialLines(list(S1,S2))
df = data.frame(z = c(1,2), row.names=sapply(slot(Sl, "lines"), function(x) slot(x, "ID")))
Sldf = SpatialLinesDataFrame(Sl, data = df)
# Generate a spatial point dataframe
xc = c(1.2,1.5,2.5)
yc = c(1.5,2.2,1.6)
Spoints = SpatialPoints(cbind(xc, yc))
Spdf <- SpatialPointsDataFrame(Spoints, data = data.frame(value = 1:length(Spoints)))
#use the function SpatialPointsDataFrame
res <- snapPointsToLines(Spdf, Sldf)
res 只有 "nearest_line_id" 和 "snap_dist"。它没有我需要的来自 Spdf 的 "value" 字段。
#use the function SpatialPointsDataFrame with "withAttrs = TRUE" parameter
res <- snapPointsToLines(Spdf, Sldf, withAttrs = TRUE)
它报告错误:
"Error in snapPointsToLines(Spdf, Sldf, withAttrs = TRUE) :
A SpatialPoints object has no attributes! Please set withAttrs as FALSE."
但是Spdf是有属性的spatialpointdataframe。
我不知道这是什么问题。当我几周前使用这个功能时,它没有出现这个问题。
我觉得可能是函数本身的问题。当你查看这个函数的代码时,我们可以看到开头部分的代码如下。
if (class(points) == "SpatialPoints" && missing(withAttrs))
withAttrs = FALSE
if (class(points) == "SpatialPoints" && withAttrs == TRUE)
stop("A SpatialPoints object has no attributes! Please set withAttrs as FALSE.")
有时 SpatialPointsDataFrame 可以被识别为 SpatialPoints。因此该函数会将您的 SpatialPointsDataFrame 视为 SpatialPoints,并且不会将属性保留在函数中。
您可以在函数的代码中稍作修改,如下所示。
snapPointsToLines1 <- function (points, lines, maxDist = NA, withAttrs = TRUE, idField = NA)
{
if (rgeosStatus()) {
if (!requireNamespace("rgeos", quietly = TRUE))
stop("package rgeos required for snapPointsToLines")
}
else stop("rgeos not installed")
if (is(points, "SpatialPointsDataFrame")==FALSE && missing(withAttrs))
withAttrs = FALSE
if (is(points, "SpatialPointsDataFrame")==FALSE && withAttrs == TRUE)
stop("A SpatialPointsDataFrame object is needed! Please set withAttrs as FALSE.")
d = rgeos::gDistance(points, lines, byid = TRUE)
if (!is.na(maxDist)) {
distToLine <- apply(d, 2, min, na.rm = TRUE)
validPoints <- distToLine <= maxDist
distToPoint <- apply(d, 1, min, na.rm = TRUE)
validLines <- distToPoint <= maxDist
points <- points[validPoints, ]
lines = lines[validLines, ]
d = d[validLines, validPoints, drop = FALSE]
distToLine <- distToLine[validPoints]
if (!any(validPoints)) {
if (is.na(idField)) {
idCol = character(0)
}
else {
idCol = lines@data[, idField][0]
}
newCols = data.frame(nearest_line_id = idCol, snap_dist = numeric(0))
if (withAttrs)
df <- cbind(points@data, newCols)
else df <- newCols
res <- SpatialPointsDataFrame(points, data = df,
proj4string = CRS(proj4string(points)), match.ID = FALSE)
return(res)
}
}
else {
distToLine = apply(d, 2, min, na.rm = TRUE)
}
nearest_line_index = apply(d, 2, which.min)
coordsLines = coordinates(lines)
coordsPoints = coordinates(points)
mNewCoords = vapply(1:length(points), function(x) nearestPointOnLine(coordsLines[[nearest_line_index[x]]][[1]],
coordsPoints[x, ]), FUN.VALUE = c(0, 0))
if (!is.na(idField)) {
nearest_line_id = lines@data[, idField][nearest_line_index]
}
else {
nearest_line_id = sapply(slot(lines, "lines"),
function(i) slot(i, "ID"))[nearest_line_index]
}
if (withAttrs)
df = cbind(points@data, data.frame(nearest_line_id, snap_dist = distToLine))
else df = data.frame(nearest_line_id, snap_dist = distToLine,
row.names = names(nearest_line_index))
SpatialPointsDataFrame(coords = t(mNewCoords), data = df,
proj4string = CRS(proj4string(points)))
}
然后使用这个新函数snapPointsToLines1,你可以得到你想要的属性。
最近发现snapPointsToLines的问题。它不能保留空间点数据框的属性。范例如下:
# Generate a spatial line dataframe
l1 = cbind(c(1,2,3),c(3,2,2))
l1a = cbind(l1[,1]+.05,l1[,2]+.05)
l2 = cbind(c(1,2,3),c(1,1.5,1))
Sl1 = Line(l1)
Sl1a = Line(l1a)
Sl2 = Line(l2)
S1 = Lines(list(Sl1, Sl1a), ID="a")
S2 = Lines(list(Sl2), ID="b")
Sl = SpatialLines(list(S1,S2))
df = data.frame(z = c(1,2), row.names=sapply(slot(Sl, "lines"), function(x) slot(x, "ID")))
Sldf = SpatialLinesDataFrame(Sl, data = df)
# Generate a spatial point dataframe
xc = c(1.2,1.5,2.5)
yc = c(1.5,2.2,1.6)
Spoints = SpatialPoints(cbind(xc, yc))
Spdf <- SpatialPointsDataFrame(Spoints, data = data.frame(value = 1:length(Spoints)))
#use the function SpatialPointsDataFrame
res <- snapPointsToLines(Spdf, Sldf)
res 只有 "nearest_line_id" 和 "snap_dist"。它没有我需要的来自 Spdf 的 "value" 字段。
#use the function SpatialPointsDataFrame with "withAttrs = TRUE" parameter
res <- snapPointsToLines(Spdf, Sldf, withAttrs = TRUE)
它报告错误:
"Error in snapPointsToLines(Spdf, Sldf, withAttrs = TRUE) :
A SpatialPoints object has no attributes! Please set withAttrs as FALSE."
但是Spdf是有属性的spatialpointdataframe。 我不知道这是什么问题。当我几周前使用这个功能时,它没有出现这个问题。
我觉得可能是函数本身的问题。当你查看这个函数的代码时,我们可以看到开头部分的代码如下。
if (class(points) == "SpatialPoints" && missing(withAttrs))
withAttrs = FALSE
if (class(points) == "SpatialPoints" && withAttrs == TRUE)
stop("A SpatialPoints object has no attributes! Please set withAttrs as FALSE.")
有时 SpatialPointsDataFrame 可以被识别为 SpatialPoints。因此该函数会将您的 SpatialPointsDataFrame 视为 SpatialPoints,并且不会将属性保留在函数中。 您可以在函数的代码中稍作修改,如下所示。
snapPointsToLines1 <- function (points, lines, maxDist = NA, withAttrs = TRUE, idField = NA)
{
if (rgeosStatus()) {
if (!requireNamespace("rgeos", quietly = TRUE))
stop("package rgeos required for snapPointsToLines")
}
else stop("rgeos not installed")
if (is(points, "SpatialPointsDataFrame")==FALSE && missing(withAttrs))
withAttrs = FALSE
if (is(points, "SpatialPointsDataFrame")==FALSE && withAttrs == TRUE)
stop("A SpatialPointsDataFrame object is needed! Please set withAttrs as FALSE.")
d = rgeos::gDistance(points, lines, byid = TRUE)
if (!is.na(maxDist)) {
distToLine <- apply(d, 2, min, na.rm = TRUE)
validPoints <- distToLine <= maxDist
distToPoint <- apply(d, 1, min, na.rm = TRUE)
validLines <- distToPoint <= maxDist
points <- points[validPoints, ]
lines = lines[validLines, ]
d = d[validLines, validPoints, drop = FALSE]
distToLine <- distToLine[validPoints]
if (!any(validPoints)) {
if (is.na(idField)) {
idCol = character(0)
}
else {
idCol = lines@data[, idField][0]
}
newCols = data.frame(nearest_line_id = idCol, snap_dist = numeric(0))
if (withAttrs)
df <- cbind(points@data, newCols)
else df <- newCols
res <- SpatialPointsDataFrame(points, data = df,
proj4string = CRS(proj4string(points)), match.ID = FALSE)
return(res)
}
}
else {
distToLine = apply(d, 2, min, na.rm = TRUE)
}
nearest_line_index = apply(d, 2, which.min)
coordsLines = coordinates(lines)
coordsPoints = coordinates(points)
mNewCoords = vapply(1:length(points), function(x) nearestPointOnLine(coordsLines[[nearest_line_index[x]]][[1]],
coordsPoints[x, ]), FUN.VALUE = c(0, 0))
if (!is.na(idField)) {
nearest_line_id = lines@data[, idField][nearest_line_index]
}
else {
nearest_line_id = sapply(slot(lines, "lines"),
function(i) slot(i, "ID"))[nearest_line_index]
}
if (withAttrs)
df = cbind(points@data, data.frame(nearest_line_id, snap_dist = distToLine))
else df = data.frame(nearest_line_id, snap_dist = distToLine,
row.names = names(nearest_line_index))
SpatialPointsDataFrame(coords = t(mNewCoords), data = df,
proj4string = CRS(proj4string(points)))
}
然后使用这个新函数snapPointsToLines1,你可以得到你想要的属性。