Title: | Encoding Coordinates into 'Google' Polylines |
---|---|
Description: | Encodes simple feature ('sf') objects and coordinates, and decodes polylines using the 'Google' polyline encoding algorithm (<https://developers.google.com/maps/documentation/utilities/polylinealgorithm>). |
Authors: | David Cooley [aut, cre], Paulo Barcelos [ctb] (Author of c++ decode_polyline), Chris Muir [ctb] |
Maintainer: | David Cooley <[email protected]> |
License: | MIT + file LICENSE |
Version: | 0.8.5 |
Built: | 2024-11-22 06:25:49 UTC |
Source: | CRAN |
Decodes encoded polylines into a list of data.frames.
decode(polylines)
decode(polylines)
polylines |
vector of encoded polyline strings |
polylines <- c( "ohlbDnbmhN~suq@am{tAw`qsAeyhGvkz`@fge}A", "ggmnDt}wmLgc`DesuQvvrLofdDorqGtzzV" ) decode(polylines)
polylines <- c( "ohlbDnbmhN~suq@am{tAw`qsAeyhGvkz`@fge}A", "ggmnDt}wmLgc`DesuQvvrLofdDorqGtzzV" ) decode(polylines)
Encodes coordinates into an encoded polyline.
encode(obj, ...) ## S3 method for class 'sf' encode(obj, strip = FALSE, ...) ## S3 method for class 'data.frame' encode(obj, lon = NULL, lat = NULL, byrow = FALSE, ...)
encode(obj, ...) ## S3 method for class 'sf' encode(obj, strip = FALSE, ...) ## S3 method for class 'data.frame' encode(obj, lon = NULL, lat = NULL, byrow = FALSE, ...)
obj |
either an |
... |
other parameters passed to methods |
strip |
logical indicating if |
lon |
vector of longitudes |
lat |
vector of latitudes |
byrow |
logical indicating if the encoding should be done for each row |
The function assumes Google Web Mercator projection (WSG 84 / EPSG:3857 / EPSG:900913) for inputs and outputs.
Will work with
sf
and sfc
objects directly
data.frames
- It will attempt to find lat & lon coordinates,
or you can explicitely define them using the lat
and lon
arguments
sfencoded
object
When an sfencoded
object is colulmn-subset using `[`
and
the encoded column is retained, the attributes of the column will remain. This
is different behaviour to standard subsetting of data.frames
, where all
attributes are dropped by default. See examples.
When encoding an sf
object, only the XY dimensions will be used,
the Z or M (3D and/or Measure) dimensions are dropped.
## data.frame df <- data.frame(polygonId = c(1,1,1,1), lineId = c(1,1,1,1), lon = c(-80.190, -66.118, -64.757, -80.190), lat = c(26.774, 18.466, 32.321, 26.774)) ## on a data.frame, it will attemp to find the lon & lat columns encode(df) ## use byrow = TRUE to convert each row individually encode(df, byrow = TRUE) ## Not run: ## sf objects library(sf) nc <- sf::st_read(system.file("shape/nc.shp", package="sf")) encoded <- encode(nc) ## view attributes attributes(encoded) ## view attributes of subset object attributes(encoded[, c("AREA", "PERIMETER", "geometry")]) ## view attributes without encoded column attributes(encoded[, c("AREA", "PERIMETER")]) ## strip attributes encodedLite <- encode(nc, strip = TRUE) attributes(encodedLite) ## view attributes of subset lite object attributes(encodedLite[, c("AREA", "PERIMETER", "geometry")]) ## view attributes without encoded column attributes(encodedLite[, c("AREA", "PERIMETER")]) ## End(Not run)
## data.frame df <- data.frame(polygonId = c(1,1,1,1), lineId = c(1,1,1,1), lon = c(-80.190, -66.118, -64.757, -80.190), lat = c(26.774, 18.466, 32.321, 26.774)) ## on a data.frame, it will attemp to find the lon & lat columns encode(df) ## use byrow = TRUE to convert each row individually encode(df, byrow = TRUE) ## Not run: ## sf objects library(sf) nc <- sf::st_read(system.file("shape/nc.shp", package="sf")) encoded <- encode(nc) ## view attributes attributes(encoded) ## view attributes of subset object attributes(encoded[, c("AREA", "PERIMETER", "geometry")]) ## view attributes without encoded column attributes(encoded[, c("AREA", "PERIMETER")]) ## strip attributes encodedLite <- encode(nc, strip = TRUE) attributes(encodedLite) ## view attributes of subset lite object attributes(encodedLite[, c("AREA", "PERIMETER", "geometry")]) ## view attributes without encoded column attributes(encodedLite[, c("AREA", "PERIMETER")]) ## End(Not run)
Encodes a vector of lon & lat coordinates
encodeCoordinates(lon, lat)
encodeCoordinates(lon, lat)
lon |
vector of longitudes |
lat |
vector of latitudes |
## Not run: ## Grouping by polygons and lines df <- data.frame(polygonId = c(1,1,1,1,1,1,1,1,2,2,2,2), lineId = c(1,1,1,1,2,2,2,2,1,1,1,1), lon = c(-80.190, -66.118, -64.757, -80.190, -70.579, -67.514, -66.668, -70.579, -70, -49, -51, -70), lat = c(26.774, 18.466, 32.321, 26.774, 28.745, 29.570, 27.339, 28.745, 22, 23, 22, 22)) ## using dplyr groups library(dplyr) df %>% group_by(polygonId, lineId) %>% summarise(polyline = encodeCoordinates(lon, lat)) ## using data.table library(data.table) setDT(df) df[, encodeCoordinates(lon = lon, lat = lat), by = .(polygonId, lineId)] ## End(Not run)
## Not run: ## Grouping by polygons and lines df <- data.frame(polygonId = c(1,1,1,1,1,1,1,1,2,2,2,2), lineId = c(1,1,1,1,2,2,2,2,1,1,1,1), lon = c(-80.190, -66.118, -64.757, -80.190, -70.579, -67.514, -66.668, -70.579, -70, -49, -51, -70), lat = c(26.774, 18.466, 32.321, 26.774, 28.745, 29.570, 27.339, 28.745, 22, 23, 22, 22)) ## using dplyr groups library(dplyr) df %>% group_by(polygonId, lineId) %>% summarise(polyline = encodeCoordinates(lon, lat)) ## using data.table library(data.table) setDT(df) df[, encodeCoordinates(lon = lon, lat = lat), by = .(polygonId, lineId)] ## End(Not run)
Extracts specific geometry rows of an sfencoded
object
geometryRow(x, geometry = c("POINT", "LINESTRING", "POLYGON"), multi = TRUE)
geometryRow(x, geometry = c("POINT", "LINESTRING", "POLYGON"), multi = TRUE)
x |
|
geometry |
the specific geometry to extract |
multi |
logical indicating if MULTI geometry objects are included |
the row indeces for the requested geometry
## Not run: df <- data.frame(myId = c(1,1,1,1,1,1,1,1,2,2,2,2), lineId = c(1,1,1,1,2,2,2,2,1,1,1,2), lon = c(-80.190,-66.118,-64.757,-80.190,-70.579,-67.514,-66.668,-70.579,-70,-49,-51,-70), lat = c(26.774, 18.466, 32.321, 26.774, 28.745, 29.570, 27.339, 28.745, 22, 23, 22, 22)) p1 <- as.matrix(df[1:4, c("lon", "lat")]) p2 <- as.matrix(df[5:8, c("lon", "lat")]) p3 <- as.matrix(df[9:12, c("lon", "lat")]) point <- sf::st_sfc(sf::st_point(x = c(df[1,"lon"], df[1,"lat"]))) multipoint <- sf::st_sfc(sf::st_multipoint(x = as.matrix(df[1:2, c("lon", "lat")]))) polygon <- sf::st_sfc(sf::st_polygon(x = list(p1, p2))) linestring <- sf::st_sfc(sf::st_linestring(p3)) multilinestring <- sf::st_sfc(sf::st_multilinestring(list(p1, p2))) multipolygon <- sf::st_sfc(sf::st_multipolygon(x = list(list(p1, p2), list(p3)))) sf <- rbind( st_sf(geo = polygon), st_sf(geo = multilinestring), st_sf(geo = linestring), st_sf(geo = point) ) encode(sf) enc <- encode(sf) geometryRow(enc, "POINT") geometryRow(enc, "LINESTRING") geometryRow(enc, "POLYGON") ## End(Not run)
## Not run: df <- data.frame(myId = c(1,1,1,1,1,1,1,1,2,2,2,2), lineId = c(1,1,1,1,2,2,2,2,1,1,1,2), lon = c(-80.190,-66.118,-64.757,-80.190,-70.579,-67.514,-66.668,-70.579,-70,-49,-51,-70), lat = c(26.774, 18.466, 32.321, 26.774, 28.745, 29.570, 27.339, 28.745, 22, 23, 22, 22)) p1 <- as.matrix(df[1:4, c("lon", "lat")]) p2 <- as.matrix(df[5:8, c("lon", "lat")]) p3 <- as.matrix(df[9:12, c("lon", "lat")]) point <- sf::st_sfc(sf::st_point(x = c(df[1,"lon"], df[1,"lat"]))) multipoint <- sf::st_sfc(sf::st_multipoint(x = as.matrix(df[1:2, c("lon", "lat")]))) polygon <- sf::st_sfc(sf::st_polygon(x = list(p1, p2))) linestring <- sf::st_sfc(sf::st_linestring(p3)) multilinestring <- sf::st_sfc(sf::st_multilinestring(list(p1, p2))) multipolygon <- sf::st_sfc(sf::st_multipolygon(x = list(list(p1, p2), list(p3)))) sf <- rbind( st_sf(geo = polygon), st_sf(geo = multilinestring), st_sf(geo = linestring), st_sf(geo = point) ) encode(sf) enc <- encode(sf) geometryRow(enc, "POINT") geometryRow(enc, "LINESTRING") geometryRow(enc, "POLYGON") ## End(Not run)
Converts encoded polylines into well-known text.
polyline_wkt(obj)
polyline_wkt(obj)
obj |
|
'Polylines' refers to lat/lon coordinates encoded into strings using Google's polyline encoding algorithm.
The function assumes Google Web Mercator projection (WSG 84 / EPSG:3857 / EPSG:900913) for inputs and outputs.
well-known text representation of the encoded polylines
This will not work if you have specified strip = TRUE
for encode()
## Not run: library(sf) nc <- sf::st_read(system.file("shape/nc.shp", package="sf")) ## encode to polylines enc <- encode(nc) ## convert encoded lines to well-known text wkt <- polyline_wkt(enc) ## End(Not run)
## Not run: library(sf) nc <- sf::st_read(system.file("shape/nc.shp", package="sf")) ## encode to polylines enc <- encode(nc) ## convert encoded lines to well-known text wkt <- polyline_wkt(enc) ## End(Not run)
Retrieves the sf attributes stored on the sfencoded
object
sfAttributes(x)
sfAttributes(x)
x |
|
list
of sf
attributes
Converts well-known text into encoded polylines.
wkt_polyline(obj)
wkt_polyline(obj)
obj |
|
'Polylines' refers to lat/lon coordinates encoded into strings using Google's polyline encoding algorithm.
encoded polyline representation of geometries
## Not run: library(sf) nc <- sf::st_read(system.file("shape/nc.shp", package="sf")) ## encode to polylines enc <- encode(nc) ## convert encoded lines to well-known text wkt <- polyline_wkt(enc) ## convert well-known text back to polylines enc2 <- wkt_polyline(wkt) ## End(Not run)
## Not run: library(sf) nc <- sf::st_read(system.file("shape/nc.shp", package="sf")) ## encode to polylines enc <- encode(nc) ## convert encoded lines to well-known text wkt <- polyline_wkt(enc) ## convert well-known text back to polylines enc2 <- wkt_polyline(wkt) ## End(Not run)