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4 - WALKSCORE.R
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4 - WALKSCORE.R
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library(sf)
library(sp)
library(httr)
library(jsonlite)
library(tidyverse)
library(xlsx)
library(dplyr)
# Nota: se hizo en 2 partes: la primera sin San bBernardo simplemente porque se olvido en el analisis. La segunda parte s solo san bernardo y luego se unen.
##################
#### SANTIAGO ####
##################
SANTIAGO <- st_read("outputs/ISMT/SANTIAGO/SANTIAGO_ISMT.shp") %>% st_transform(4019) %>% subset(PROVINCIA == 131 | COMUNA == 13201 | COMUNA == 13401)
MANZ_SANTIAGO_point <- st_read("inputs/geodata/MANZANA/Manzana_nivel.shp") %>% subset(PROVINCIA == 'SANTIAGO' | COMUNA == 'PUENTE ALTO') %>% st_centroid() %>% st_transform(4019)
MANZ_SANTIAGO_point$PERSONAS_M[MANZ_SANTIAGO_point$PERSONAS_M == 'Indeterminado'] <- 0
MANZ_SANTIAGO_point$PERSONAS_M <- as.numeric(MANZ_SANTIAGO_point$PERSONAS_M)
Lat <- st_coordinates(st_centroid(st_transform(MANZ_SANTIAGO_point,4019)))[,1]
Lon <- st_coordinates(st_centroid(st_transform(MANZ_SANTIAGO_point,4019)))[,2]
MANZ_SANTIAGO_point$Lat <- Lat
MANZ_SANTIAGO_point$Lon <- Lon
MANZ_SANTIAGO_point2 <- st_read("inputs/geodata/MANZANA/Manzana_nivel.shp") %>% subset(COMUNA == 'SAN BERNARDO') %>% st_centroid() %>% st_transform(4019)
MANZ_SANTIAGO_point2$PERSONAS_M[MANZ_SANTIAGO_point2$PERSONAS_M == 'Indeterminado'] <- 0
MANZ_SANTIAGO_point2$PERSONAS_M <- as.numeric(MANZ_SANTIAGO_point2$PERSONAS_M)
Lat <- st_coordinates(st_centroid(st_transform(MANZ_SANTIAGO_point2,4019)))[,1]
Lon <- st_coordinates(st_centroid(st_transform(MANZ_SANTIAGO_point2,4019)))[,2]
MANZ_SANTIAGO_point2$Lat <- Lat
MANZ_SANTIAGO_point2$Lon <- Lon
# Para 5 minutos caminando
errores0 <- NULL
score0 <- read.csv('outputs/WALKSCORE/score0.csv')$score0
i<-1
conteo <- 1
while(i < dim(MANZ_SANTIAGO_point)[1]){
print(i)
lat <- MANZ_SANTIAGO_point$Lat[i]
lon <- MANZ_SANTIAGO_point$Lon[i]
URL <- paste0("http://walkmyplace.cedeus.cl/call_wps.php?wps=pedestrian&start_point=",lon,",",lat,"&walking_time_period=5&walking_speed=2.40&distance_decay_function=false&demographic=Adulto%20Mayor%20-%20Conce%20(%3E60)&escenario=1")
succes <- try(
exp = {
resp <- GET(URL)
text <- fromJSON(content(resp, "text"))
score <- text$walkshed$properties$score
}
)
if (is.null(score)){
print(paste('Es nulo ',as.character(i)))
errores <- c(errores0,i)
i<-i+1
}else{
if('try-error' %in% class(succes)){
print(paste('Error en ',as.character(i)))
Sys.sleep(10)
}else{
print(score)
score0[i] <- score
write.csv(data.frame(ID=1:length(score0),score0),'outputs/WALKSCORE/1/score0.csv')
Sys.sleep(0.5)
i <- i+1
}
}
conteo <- conteo + 1
if(conteo%%100 == 0){Sys.sleep(10)}
}
# Para 10 minutos caminando
errores1 <- NULL
score1 <- read.csv('outputs/WALKSCORE/score1.csv')$score1
i<-1
while(i < dim(MANZ_SANTIAGO_point)[1]){
print(i)
lat <- MANZ_SANTIAGO_point$Lat[i]
lon <- MANZ_SANTIAGO_point$Lon[i]
URL <- paste0("http://walkmyplace.cedeus.cl/call_wps.php?wps=pedestrian&start_point=",lon,",",lat,"&walking_time_period=10&walking_speed=2.40&distance_decay_function=false&demographic=Adulto%20Mayor%20-%20Conce%20(%3E60)&escenario=1")
succes <- try(
exp = {
resp <- GET(URL)
text <- fromJSON(content(resp, "text"))
score <- text$walkshed$properties$score
}
)
if (is.null(score)){
print(paste('Es nulo ',as.character(i)))
errores <- c(errores1,i)
i<-i+1
}else{
if('try-error' %in% class(succes)){
print(paste('Error en ',as.character(i)))
Sys.sleep(60)
}else{
print(score)
score1[i] <- score
write.csv(data.frame(ID=1:length(score1),score1),'outputs/WALKSCORE/1/score1.csv')
Sys.sleep(1)
i <- i+1
}
}
}
#### AGREGANDO LAS DE SAN BERNARDO ####
errores0 <- NULL
score0 <- rep(NA,dim(MANZ_SANTIAGO_point2)[1])
i<-1
conteo<-1
while(i < dim(MANZ_SANTIAGO_point2)[1]){
print(i)
lat <- MANZ_SANTIAGO_point2$Lat[i]
lon <- MANZ_SANTIAGO_point2$Lon[i]
URL <- paste0("http://walkmyplace.cedeus.cl/call_wps.php?wps=pedestrian&start_point=",lon,",",lat,"&walking_time_period=5&walking_speed=2.40&distance_decay_function=false&demographic=Adulto%20Mayor%20-%20Conce%20(%3E60)&escenario=1")
succes <- try(
exp = {
resp <- GET(URL)
text <- fromJSON(content(resp, "text"))
score <- text$walkshed$properties$score
}
)
if (is.null(score)){
print(paste('Es nulo ',as.character(i)))
errores <- c(errores0,i)
i<-i+1
}else{
if('try-error' %in% class(succes)){
print(paste('Error en ',as.character(i)))
Sys.sleep(10)
}else{
print(score)
score0[i] <- score
write.csv(data.frame(ID=1:length(score0),score0),'outputs/WALKSCORE/2/score0.csv')
Sys.sleep(0.5)
i <- i+1
}
}
conteo <- conteo + 1
if(conteo%%100 == 0){Sys.sleep(10)}
}
errores1 <- NULL
score1 <- rep(NA,dim(MANZ_SANTIAGO_point2)[1])
i<-1
while(i < dim(MANZ_SANTIAGO_point2)[1]){
print(i)
lat <- MANZ_SANTIAGO_point2$Lat[i]
lon <- MANZ_SANTIAGO_point2$Lon[i]
URL <- paste0("http://walkmyplace.cedeus.cl/call_wps.php?wps=pedestrian&start_point=",lon,",",lat,"&walking_time_period=10&walking_speed=2.40&distance_decay_function=false&demographic=Adulto%20Mayor%20-%20Conce%20(%3E60)&escenario=1")
succes <- try(
exp = {
resp <- GET(URL)
text <- fromJSON(content(resp, "text"))
score <- text$walkshed$properties$score
}
)
if (is.null(score)){
print(paste('Es nulo ',as.character(i)))
errores <- c(errores1,i)
i<-i+1
}else{
if('try-error' %in% class(succes)){
print(paste('Error en ',as.character(i)))
Sys.sleep(60)
}else{
print(score)
score1[i] <- score
write.csv(data.frame(ID=1:length(score1),score1),'outputs/WALKSCORE/2/score1.csv')
Sys.sleep(1)
i <- i+1
}
}
}
############### DETERMINAR EL PROMEDIO
# TODO MENOS SAN BERNARDO
score0 <- read.csv('outputs/WALKSCORE/1/score0.csv')$score0
score1 <- read.csv('outputs/WALKSCORE/1/score1.csv')$score1
MANZ_SANTIAGO_point$score0 <- score0
MANZ_SANTIAGO_point$score1 <- score1
X <- select(as.data.frame(MANZ_SANTIAGO_point),score0,score1,MANZENT)
geocodigo <- subset(SANTIAGO,COMUNA != 13401)$GEOCODIGO
walkscore0 <- rep(NA,length(geocodigo))
walkscore1 <- rep(NA,length(geocodigo))
for(i in 1:length(geocodigo)){
walkscore0[i] <- subset(X, substr(MANZENT,1,11) == geocodigo[i])$score0 %>% mean(na.rm=TRUE)
walkscore1[i] <- subset(X, substr(MANZENT,1,11) == geocodigo[i])$score1 %>% mean(na.rm=TRUE)
}
a <- data.frame(geocodigo,walkscore0,walkscore1)
# SAN BERNARDO
score0 <- read.csv('outputs/WALKSCORE/2/score0.csv')$score0
score1 <- read.csv('outputs/WALKSCORE/2/score1.csv')$score1
MANZ_SANTIAGO_point2$score0 <- score0
MANZ_SANTIAGO_point2$score1 <- score1
X <- select(as.data.frame(MANZ_SANTIAGO_point2),score0,score1,MANZENT)
geocodigo <- subset(SANTIAGO,COMUNA == 13401)$GEOCODIGO
walkscore0 <- rep(NA,length(geocodigo))
walkscore1 <- rep(NA,length(geocodigo))
for(i in 1:length(geocodigo)){
walkscore0[i] <- subset(X, substr(MANZENT,1,11) == geocodigo[i])$score0 %>% mean(na.rm=TRUE)
walkscore1[i] <- subset(X, substr(MANZENT,1,11) == geocodigo[i])$score1 %>% mean(na.rm=TRUE)
}
b <- data.frame(geocodigo,walkscore0,walkscore1)
c <- rbind(a,b)
SANTIAGO <- merge(SANTIAGO,c,by.x="GEOCODIGO",by.y="geocodigo",all.x=TRUE)
st_write(obj = SANTIAGO , dsn="outputs/WALKSCORE", layer="SANTIAGO_WS.shp" , driver="ESRI Shapefile",delete_layer = TRUE)