nearby cities

inst/examples/gps.R

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+library(data.table)
+if(!file.exists("gspdb-code")){
+  system("hg clone http://hg.code.sf.net/p/gpsdb/code gpsdb-code")
+}
+gpx.glob <- "~/gpsdb-code/gpx/*"
+gpx.vec <- Sys.glob(gpx.glob)
+f <- function(name)nc::field(
+  name, '="', "[0-9.]+",
+  as.numeric)
+read_lat_lon <- function(path)nc::capture_all_str(
+  path,
+  f("lat"),
+  '" ',
+  f("lon")
+)[, .( # these files have lat/lon inverted.
+  longitude=lat,
+  latitude=lon
+)]
+(lat.lon.dt <- nc::capture_first_glob(
+  gpx.glob,
+  "/", timestamp="[^/]+", "[.]gpx$",
+  READ=read_lat_lon))
+(ride.dt <- lat.lon.dt[, .(
+  N_data=.N,
+  ## https://r-spatial.github.io/sf/reference/geos_measures.html TODO kilometers
+  pct = as.POSIXct(strptime(timestamp, "%Y-%m-%d:%H:%M:%S")),
+  dist=sqrt((latitude[1]-latitude[.N])^2+(longitude[1]-longitude[.N])^2)
+), by=timestamp])
+
+tag.lines <- readLines("~/gpsdb-code/kml/tags.txt")
+tag.dt <- unique(nc::capture_first_vec(
+  tag.lines,
+  date_pattern=".*?",
+  " ",
+  riders=".*"))
+date2stamp <- tag.dt[, .(
+  timestamp=grep(date_pattern, ride.dt$timestamp, fixed=TRUE, value=TRUE)
+), by=date_pattern]
+stamp2riders <- tag.dt[date2stamp,on="date_pattern"]
+riders2rider <- tag.dt[, .(
+  rider=strsplit(riders, " ")[[1]]
+), by=riders]
+ride.with.riders <- stamp2riders[
+  ride.dt,on="timestamp"
+][
+  is.na(riders), riders := ""
+][]
+ride.show <- ride.with.riders[riders!="florent" & N_data > 10]
+path.show <- lat.lon.dt[timestamp %in% ride.show$timestamp]
+
+library(animint2)
+start.end.dt <- path.show[
+, .SD[c(1,.N), .(
+  latitude,longitude,where=c("start","end"),
+  direction=diff(longitude)
+)]
+, by=timestamp]
+
+if(!file.exists("gps-villes-de-france.csv")){
+  download.file("https://www.data.gouv.fr/fr/datasets/r/51606633-fb13-4820-b795-9a2a575a72f1", "gps-villes-de-france.csv")
+}
+villes.dt <- fread("gps-villes-de-france.csv")
+map.lim <- dcast(
+  path.show,
+  . ~ .,
+  fun.aggregate = list(min, max),
+  value.var=c("latitude","longitude"))
+villes.in.lim <- villes.dt[
+  map.lim$latitude_min < latitude & latitude < map.lim$latitude_max &
+    map.lim$longitude_min < longitude & longitude < map.lim$longitude_max
+][
+, long_name := sprintf(
+  "%s (%s), %s (%s), %s",
+  label, insee_code,
+  department_name, department_number, region_geojson_name)
+][]
+
+villes.sf <- sf::st_sf(villes.in.lim[, .(
+  label,
+  geometry=sf::st_sfc(apply(
+    cbind(longitude, latitude),
+    1,
+    sf::st_point,
+    simplify=FALSE
+  ))
+)])
+path.sf <- sf::st_sf(path.show[, .(
+  geometry=sf::st_sfc(sf::st_linestring(cbind(longitude, latitude)))
+), by=timestamp])
+
+start.end.sf <- sf::st_sf(start.end.dt[, .(
+  timestamp, where,
+  geometry=sf::st_sfc(apply(
+    cbind(longitude, latitude),
+    1,
+    sf::st_point,
+    simplify=FALSE
+  ))
+)])
+nearest.index.vec <- sf::st_nearest_feature(start.end.sf, villes.sf)
+villes.start.end <- data.table(
+  start.end.dt[,.(timestamp,direction,where)],
+  villes.in.lim[nearest.index.vec])
+
+## villes near path.
+with.mat <- sf::st_is_within_distance(path.sf, villes.sf, dist=0.01)
+villes.show.list <- list()
+for(path.i in seq_along(with.mat)){
+  ville.i <- with.mat[[path.i]]
+  if(length(ville.i)){
+    villes.show.list[[path.i]] <- data.table(
+      villes.in.lim[ville.i],
+      as.data.table(path.sf[path.i,])[,.(timestamp)])
+  }
+}
+(villes.near.path <- rbindlist(villes.show.list))
+
+villes.start.end[, let(
+  what="nearby cities",
+  text.x=3.1,
+  text.y=ifelse(where=="start", 49.4, 49.35))]
+city.text.size <- 15
+where.colors <- c(start="white",end="black")
+animint(
+  title="Toby Hocking Bike Rides 2009",
+  map=ggplot()+
+    theme_bw()+
+    theme_animint(width=1000)+
+    scale_fill_manual(
+      values=where.colors,
+      breaks=names(where.colors))+
+    geom_path(aes(
+      longitude, latitude, group=timestamp),
+      clickSelects="timestamp",
+      color_off="grey",
+      color="black",
+      size=4,
+      data=data.table(path.show, what="ride"))+
+    geom_path(aes(
+      longitude, latitude, group=timestamp),
+      showSelected="timestamp",
+      color="black",
+      chunk_vars=character(),
+      size=4,
+      data=data.table(path.show, what="ride"))+
+    geom_point(aes(
+      longitude, latitude, fill=where, color=what),
+      showSelected="timestamp",
+      size=4,
+      data=data.table(start.end.dt, what="ride"))+
+    scale_color_manual(values=c(
+      ride="black",
+      "nearby cities"="red"))+
+    geom_point(aes(
+      longitude, latitude, fill=where, color=what),
+      showSelected=c("timestamp","where"),
+      data=villes.start.end)+
+    geom_point(aes(
+      longitude, latitude, color=what, tooltip=long_name),
+      showSelected="timestamp",
+      data=data.table(villes.near.path, what="nearby cities"))+
+    geom_text(aes(
+      text.x, text.y, color=what,
+      label=sprintf(
+        "%s: %s", where, long_name)),
+      hjust=1,
+      showSelected=c("timestamp","where"),
+      data=villes.start.end,
+      size=city.text.size)+
+    geom_text(aes(
+      longitude, latitude, label=label,
+      color=what,
+      hjust=ifelse(
+        direction<0,
+        ifelse(where=="start", 0, 1),
+        ifelse(where=="start", 1, 0))),
+      showSelected=c("timestamp","where"),
+      size=city.text.size,
+      data=villes.start.end),
+  ts=ggplot()+
+    theme_bw()+
+    theme_animint(width=1000, height=200)+
+    geom_point(aes(
+      pct, N_data),
+      clickSelects="timestamp",
+      size=5,
+      color="black",
+      color_off="grey",
+      data=ride.show)+
+    scale_x_datetime(date_breaks="1 month"),
+  out.dir="gps",
+  time=list(
+    variable="timestamp",
+    ms=1000
+  )
+)