-
Notifications
You must be signed in to change notification settings - Fork 2
/
get_pct.R
178 lines (148 loc) · 7.03 KB
/
get_pct.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
#Gets PCT Values for the road segments
#Functions
find.pct.lines <- function(i){
#message(i)
pct_sub <- pct.all[i,]
pct_id <- pct_sub$ID[1]
grid_ids <- grid_pct2grid[[i]]
osm_ids <- unique(unlist(grid_grid2osm[grid_ids]))
osm_sub <- osm[osm_ids,]
res <- roadsOnLine(roads = osm_sub, line2check = pct_sub$geometry, tolerance = 4)
return(res)
}
#get pct row numbers for a given osm row number
getpctids <- function(y){
return(seq_along(pct2osm)[sapply(seq_along(pct2osm),function(x){y %in% pct2osm[[x]]})])
}
#get pct values for a given osm row number
getpctvalues <- function(i){
pct.sub <- pct.all[osm2pct[[i]],]
count <- data.frame(id = i,
pct.census = sum(pct.sub$pct.census),
pct.gov = sum(pct.sub$pct.gov),
pct.gen = sum(pct.sub$pct.gen),
pct.dutch = sum(pct.sub$pct.dutch) ,
pct.ebike = sum(pct.sub$pct.ebike),
pct.total = sum(pct.sub$pct.total))
}
#List folders
regions <- regions.todo
for(b in 1:length(regions)){
if(file.exists(paste0("../cyipt-bigdata/osm-prep/",regions[b],"/osm-lines.Rds"))){
#Get file
osm <- readRDS(paste0("../cyipt-bigdata/osm-prep/",regions[b],"/osm-lines.Rds"))
#Check if PCT values exist in the file
if(all(c("pct.census","pct.gov","pct.gen","pct.dutch","pct.ebike","pct.total") %in% names(osm)) & skip){
message(paste0("PCT values already calcualted for ",regions[b]," so skipping"))
}else{
message(paste0("Getting PCT values for ",regions[b]," at ",Sys.time()))
#If overwriting remove old data
col.to.keep <- names(osm)[!names(osm) %in% c("pct.census","pct.gov","pct.gen","pct.dutch","pct.ebike","pct.total")]
osm <- osm[,col.to.keep]
rm(col.to.keep)
#Get bounding box
ext <- st_bbox(osm)
ext <- st_sfc(st_polygon(list(rbind(c(ext[1],ext[2]),c(ext[3],ext[2]),c(ext[3],ext[4]),c(ext[1],ext[4]),c(c(ext[1],ext[2]))))) )
pol <- data.frame(id = 1, geometry = NA)
st_geometry(pol) <- ext
rm(ext)
#Get pct data and subset to bounding box
pct.all <- readRDS("../cyipt-securedata/pct-routes-all.Rds")
st_crs(pol) <- st_crs(pct.all) #For some reason the CRS are fractionally different
pct.all <- pct.all[pol,]
pct.all <- st_transform(pct.all, st_crs(osm)) #transfor so that crs are idetical
#Futher subset using the region boundary
bounds <- readRDS("../cyipt-bigdata/boundaries/TTWA/TTWA_England.Rds")
bounds <- bounds[bounds$ttwa11nm == regions[b],]
bounds <- st_transform(bounds, st_crs(osm))
nrow(pct.all)
pct.all <- pct.all[bounds,]
nrow(pct.all)
#add total column
pct.all$total <- pct.all$pct.census + pct.all$onfoot + pct.all$workathome + pct.all$underground + pct.all$train + pct.all$bus + pct.all$taxi + pct.all$motorcycle + pct.all$carorvan + pct.all$passenger + pct.all$other
# Check if pct lines are completly inside the region
inside <- st_contains_properly(bounds,pct.all, sparse = FALSE)
inside <- t(inside)
pct.all$insideRegion <- inside[,1]
rm(inside)
if(verbose){message(paste0("Warning: ",sum(pct.all$insideRegion == FALSE)," of ",length(pct.all$ID)," (",round(sum(pct.all$insideRegion == FALSE)/length(pct.all$ID)*100,1)," %)"," of PCT lines cross the region boundary"))}
#save selection for later use
saveRDS(pct.all,paste0("../cyipt-securedata/pct-regions/",regions[b],".Rds"))
#remove the values we no longer need
pct.all <- pct.all[,c("ID","pct.census","pct.gov","pct.gen","pct.dutch","pct.ebike","all_16p")]
names(pct.all) <- c("ID","pct.census","pct.gov","pct.gen","pct.dutch","pct.ebike","pct.total","geometry")
#Performacne Tweak, Preallocate object to a grid to reduce processing time
grid <- st_make_grid(osm, n = c(500,500), what = "polygons")
grid_pct2grid <- st_intersects(pct.all, grid) # Which grids is each pct line in?
grid_grid2osm <- st_intersects(grid, osm)# for each grid which osm lines cross it
# Make a PCT to OSM Lookup Table
##########################################################
#Parallel
m = 1
n = nrow(pct.all)
start <- Sys.time()
fun <- function(cl){
parLapply(cl, m:n,find.pct.lines)
}
cl <- makeCluster(ncores) #make clusert and set number of cores
clusterExport(cl=cl, varlist=c("grid_pct2grid", "pct.all","grid_grid2osm","osm"))
clusterExport(cl=cl, c('find.pct.lines') )
clusterEvalQ(cl, {library(sf); source("R/functions.R")})
pct2osm <- fun(cl)
stopCluster(cl)
end <- Sys.time()
if(verbose){message(paste0("Did ",n," lines in ",round(difftime(end,start,units = "secs"),2)," seconds, in parallel mode at ",Sys.time()))}
##########################################################
saveRDS(pct2osm,paste0("../cyipt-bigdata/osm-prep/",regions[b],"/pct2osm.Rds"))
# Convert A PCT to OSM lookup to an OSM to PCT lookup
# We do this in a backwards way becuase we need the PCT to OSM one later
##########################################################
#Parallel
m = 1
n = nrow(osm)
start <- Sys.time()
fun <- function(cl){
parLapply(cl, m:n,getpctids)
}
cl <- makeCluster(ncores) #make clusert and set number of cores
clusterExport(cl=cl, varlist=c("pct2osm"))
clusterExport(cl=cl, c('getpctids') )
osm2pct <- fun(cl)
stopCluster(cl)
end <- Sys.time()
if(verbose){message(paste0("Got ",n," lines of PCT ids in ",round(difftime(end,start,units = "secs"),2)," seconds, in parallel mode at ",Sys.time()))}
##########################################################
saveRDS(osm2pct,paste0("../cyipt-bigdata/osm-prep/",regions[b],"/osm2pct.Rds"))
#Now for each osm line get the pct values
##########################################################
#Parallel
m = 1
n = nrow(osm)
start <- Sys.time()
fun <- function(cl){
parLapply(cl, m:n,getpctvalues)
}
cl <- makeCluster(ncores) #make clusert and set number of cores
clusterExport(cl=cl, varlist=c("osm2pct","pct.all"))
clusterExport(cl=cl, c('getpctvalues') )
pct_vals <- fun(cl)
stopCluster(cl)
end <- Sys.time()
if(verbose){message(paste0("Got ",n," lines of PCT values in ",round(difftime(end,start,units = "secs"),2)," seconds, in parallel mode at ",Sys.time()))}
##########################################################
pct_vals <- bind_rows(pct_vals)
osm <- left_join(osm, pct_vals, by = c("id" = "id"))
rm(cl,end,n,m)
#Save results
if(overwrite){
saveRDS(osm,paste0("../cyipt-bigdata/osm-prep/",regions[b],"/osm-lines.Rds"))
}else{
saveRDS(osm,paste0("../cyipt-bigdata/osm-prep/",regions[b],"/osm-lines-pct.Rds"))
}
rm(osm,pct.all,pct_vals,osm2pct,pct2osm,grid,grid_grid2osm,grid_pct2grid, pol, bounds)
}
}else{
message(paste0("Input File Missing for ",regions[b]," at ",Sys.time()))
}
}
rm(b,regions)