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Proj_地址.R
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Proj_地址.R
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#################### 地址 ####################
rm(list=ls())
#install.packages("RPostgreSQL")
#install.packages("jiebaR")
## Crawl
#library(rvest)
#library(magrittr)
# Read data
library(readxl)
library(stringr)
library(stringi)
library(sqldf)
library(RPostgreSQL)
library(dplyr)
#library(plyr)
library(jiebaR)
# Environment
setwd("D:\\資料分析彙整\\Project\\TS_Crawl\\Data")
#conn = dbConnect(dbDriver("PostgreSQL"), dbname="dwprod",
# host="172.16.7.33", port=5432,
# user="", password="")
# Parameter
path <- getwd()
file_name <- '社區大樓.xlsx'
#file_name <- list.files(path, pattern='*.xlsx')
# Read Original Data
data_set <- read_excel( paste0(path, "/", file_name), sheet=1 )
data_set$addr <- NA
for(i in 1:nrow(data_set)){
if(substr(data_set$路段[i], 3, 3) %in% c("市","縣")){
data_set$addr[i] <- data_set$路段[i]
}else if(substr(data_set$路段[i], 3, 3) %in% c("區", "鄉", "鎮")){
data_set$addr[i] <- with( data_set[i,], paste0(縣市, 路段) )
}else{
data_set$addr[i] <- with( data_set[i,], paste0(縣市, 行政區, 路段) )
}
}
names(data_set) <- c( "bldg_id", "bldg_nm", "county", "town", "neighborhood", "road", "addr" )
# 轉編碼
for(col in colnames(data_set)){
if(!is.character(data_set[[col]])) next
Encoding(data_set[[col]]) <- "UTF-8"
}
data_manual <- data_set
# 手動處理
#轉換台
data_manual$addr <- gsub( "臺", "台", data_manual$addr)
#轉換段
CN <- c("一", "二", "三", "四", "五", "六", "七", "八", "九", "十")
for(i in 1:nrow(data_manual)){
if(length(grep("段", data_manual$addr[i], value=FALSE))==1){
if(regexpr("\\D{1}段", data_manual$addr[i])[1]!=-1){
loc <- regexpr("\\D{1}段", data_manual$addr[i])[1]
num <- match(substr(data_manual$addr[i], loc, loc), CN)
substr(data_manual$addr[i], loc, loc) <- as.character(num)
}else{
next
}
}else{
next
}
if(length(grep("巷", data_manual$addr[i], value=FALSE))==1){
if(regexpr("\\D{1}巷", data_manual$addr[i])[1]!=-1){
loc <- regexpr("\\D{1}巷", data_manual$addr[i])[1]
num <- match(substr(data_manual$addr[i], loc, loc), CN)
substr(data_manual$addr[i], loc, loc) <- as.character(num)
}else{
next
}
}else{
next
}
}
# 分詞
file_path <- list.files( path, pattern="raddr_road.txt" )
seg <- worker( bylines=F, symbol=T, user=file_path)
word <- lapply( data_manual$addr, function(x) paste(segment(x, seg), collapse=" ") )
#i <- 17
data_manual[, "word"] <- NA
for(i in 1:nrow(data_manual)){
data_manual$word[i] <- paste( segment(data_manual$addr[i], seg), collapse=" ")
}
#路段
data_manual[, "road"] <- NA
data_manual[, "road_oth"] <- NA
data_manual[, "other"] <- NA
for(i in 1:length(data_manual$word)){
road <- ""
tmp <- ""
road_oth <- ""
other <- ""
#路
road <- gsub( " .*$", "", data_manual$word[i] )
#段
tmp <- unlist( regmatches(data_manual$word[i], gregexpr("[[:digit:]]+\\s\\.*[段]", data_manual$word[i] )))
#其他
road_oth <- gsub( " ", "", sub(".*? ", "", word[i]), fixed=TRUE )
#額外地址
other <- unlist( regmatches(road_oth, gregexpr("\uff1b\\.*", road_oth )))
if(length(tmp)==0){
data_manual$road[i] <- road
if(length(other)==0){
data_manual$road_oth[i] <- road_oth
data_manual$other[i] <- ""
}else{
data_manual$road_oth[i] <- unlist( strsplit(road_oth, other) )[1]
data_manual$other[i] <- unlist( strsplit(road_oth, other) )[2]
}
}else{
section <- ""
section <- gsub( pattern = "\\s", replacement = "", x=tmp )
#路段
data_manual$road[i] <- gsub( pattern = "\\s", replacement = "", x=paste( road, section, collapse="" ))
if(length(other)==0){
data_manual$road_oth[i] <- unlist( strsplit(road_oth, section) )[2]
data_manual$other[i] <- ""
}else{
data_manual$road_oth[i] <- unlist( strsplit(road_oth, other) )[1]
data_manual$other[i] <- unlist( strsplit(road_oth, other) )[2]
}
}
}
#其他
data_manual[, "alley"] <- NA
data_manual[, "road_alley"] <- NA
data_manual[, "number"] <- NA
data_manual[, "num_int"] <- NA
for(i in 1:nrow(data_manual)){
tmp <- unlist( regmatches(data_manual$road_oth[i], gregexpr("[[:digit:]]+\\.*[巷|弄]", data_manual$road_oth[i] )))
if(length(tmp)==0){
data_manual$alley[i] <- NA
data_manual$road_alley[i] <- data_manual$road[i]
}else{
data_manual$alley[i] <- paste(tmp, collapse="")
data_manual$road_alley[i] <- paste0(data_manual$road[i], data_manual$alley[i])
}
#}
#號
#for(i in 1:nrow(data_manual)){
if(nchar(data_manual$road[i])==3 | is.na(data_manual$alley[i])){
if(nchar(data_manual$road[i])==3){
data_manual$number[i] <- NA
}else{
data_manual$number[i] <- data_manual$road_oth[i]
#data_manual$road_oth[i] <- NA
}
}else{
data_manual$number[i] <- gsub( data_manual$alley[i], "", data_manual$road_oth[i] )
#data_manual$road_oth[i] <- NA
}
#}
#號
#for(i in 1:nrow(data_manual)){
data_manual$num_int[i] <- str_extract( data_manual$number[i], "(\\d)*.+(?=號)" )
}
#去除「之X」，「之X~X」
data_manual[, "num_int2"] <- NA
for(i in 1:nrow(data_manual)){
tmp01 <- unlist( regmatches(data_manual$num_int[i], gregexpr("\\.*[之][[:digit:]]+", data_manual$num_int[i] )))
tmp02 <- unlist( regmatches(data_manual$num_int[i], gregexpr("\\.*[之][[:digit:]]+[~][[:digit:]]+", data_manual$num_int[i] )))
if(length(tmp01)!=0 && length(tmp02)==0){
num_int <- data_manual$num_int[i]
for(j in 1:length(tmp01)){
num <- sub(tmp01[j], "", num_int)
num_int <- num
}
data_manual$num_int2[i] <- paste( unlist(regmatches(num_int, gregexpr("[[:digit:]]+\\.*[[:digit:]]*", num_int ))), collapse="," )
}else if(length(tmp02)!=0){
num_int <- data_manual$num_int[i]
for(j in 1:length(tmp02)){
num <- sub(tmp02[j], "", num_int)
num_int <- num
}
data_manual$num_int2[i] <- paste( unlist(regmatches(num_int, gregexpr("[[:digit:]]+\\.*[[:digit:]]*", num_int ))), collapse="," )
}else{
data_manual$num_int2[i] <- paste( unlist(regmatches(data_manual$num_int[i], gregexpr("[[:digit:]]+\\.*[[:digit:]]*", data_manual$num_int[i] ))), collapse="," )
}
}
data_manual[, "sign"] <- NA
for(i in 1:nrow(data_manual)){
data_manual$sign[i] <- str_extract( data_manual$number[i], "單|雙|獨|全" )
}
#i <- 21
#待確認
data_manual[, "num_array"] <- NA
for(i in 1:nrow(data_manual)){
sn <- data_manual$sign[i]
tmp <- unlist( strsplit(data_manual$num_int2[i], ",") )
tmp_dup <- tmp[!duplicated(tmp)]
#tmp_con <- ""
#for(i in 1:length(tmp_dup)){
# if(i==1){
# tmp_con <- paste0(tmp_dup[i])
# }else{
# tmp_con <- paste0(tmp_con, ",", tmp_dup[i])
# }
#}
mn <- min( as.numeric(tmp_dup) )
mx <- max( as.numeric(tmp_dup) )
if(is.na(sn)){
if(length(tmp_dup)==0){
data_manual$num_array[i] <- ""
}else if(length(tmp_dup)==1 ){
data_manual$num_array[i] <- paste0( "[", tmp_dup, "]" )
}else if(length(tmp_dup)==2){
if(as.numeric(tmp_dup[2]) <= as.numeric(tmp_dup[1])){
data_manual$num_array[i] <- paste0( "[", tmp_dup[1], "]" )
}else{
data_manual$num_array[i] <- paste0( "[", paste(seq(mn, mx, by=1), collapse=","), "]" )
}
}else{
data_manual$num_array[i] <- ifelse(data_manual$num_int2[i]=="", NA, paste0( "[", data_manual$num_int2[i], "]") )
}
}else{
if(length(tmp_dup)==0){
data_manual$num_array[i] <- ""
}else if(length(tmp_dup)==1){
data_manual$num_array[i] <- paste0( "[", tmp_dup, "]" )
}else if(length(tmp_dup)==2){
sn <- data_manual$sign[i]
data_manual$num_array[i] <- ifelse( sn=="單", paste0( "[", paste0(seq(mn, mx, by=2), collapse=","), "]" ),
ifelse( sn=="雙", paste0( "[", paste0(seq(mn, mx, by=2), collapse=","), "]" ),
ifelse( sn=="全", paste0( "[", paste0(seq(mn, mx, by=1), collapse=","), "]")
, paste0("[", tmp, "]"))) )
}else{
data_manual$num_array[i] <- ifelse(data_manual$num_int2[i]==0, NA, paste0("[", data_manual$num_int2[i], "]") )
}
}
}
colnames(data_manual)
data_manual %>%
select( bldg_id, bldg_nm, county, town, neighborhood, road_alley, number, road_oth, other, num_array ) -> final
#==================================================================#
#################### 正規劃後地址 (NOT)####################
#file_name <- "to_tgos.txt"
file_name <- list.files( path, pattern="from_tgos.txt" )
file_path <- file.path( getwd(), file_name )
#write.table( data_set[, c(1:7)], paste0(path, "/", file_name), sep=","
# , col.names=F, row.name=F
# , fileEncoding="Big5", quote=F )
raddr <- readlines( file_path, encoding="UTF-8" )
raddr_dt <- as.data.frame( str_split(raddr, ",", simplify=TRUE) )
names(raddr_dt) <- c( "id"
, "addr_m"
, "addr_raddr"
, "county"
, "town"
, "village"
, "neighborhood"
, "road"
, "section"
, "lane"
, "alley"
, "sub_alley"
, "tong"
, "number"
, "x"
, "y")
raddr_dt$id <- as.character(raddr_dt$id)
raddr_dt2 <- sqldf(" select a.bldg_id
, a.county as m_country
, a.town as m_town
, a.bldg_addr
, b.addr_m
, b.addr_raddr
, b.county
, b.town
, b.village
, b.neighborhood
, b.road
, b.section
, b.lane
, b.alley
, b.sub_alley
, b.tong
, b.number
, b.x
, b.y
from data_set a
left join raddr_dt b on a.bldg_id=b.id", drv="SQLite")
raddr_dt2$raddr_road <- with( raddr_dt2, paste0(road, ifelse(is.null(section),
paste0(section, "段"), ""), lane, alley, sub_alley, tong, number))
raddr_dt2$raddr_full_wo_village <- with( raddr_dt2, paste0(county, town, road
, ifelse(is.null(section),"", paste0(section, "段"))
, lane, alley, number))
raddr_dt2$raddr_full_w_village <- with( raddr_dt2, paste0(county, town, road, village
, ifelse(is.null(section),"", paste0(section, "段"))
, lane, alley, number))
raddr_dt2$raddr_full_wo_village_A_number <- with( raddr_dt2, paste0(county, town, road
, ifelse(is.null(section),"", paste0(section, "段"))
, lane, alley))
raddr_dt2$raddr_full_w_village_wo_number <- with( raddr_dt2, paste0(county, town, road, village
, ifelse(is.null(section),"", paste0(section, "段"))
, lane, alley))
# 切號
for(i in 1:nrow(raddr_dt)){
raddr_dt2$x1[i] <- stri_extract_first_regex( raddr_dt2$number[i], "[0-9+]" )
raddr_dt2$x2[i] <- stri_extract_first_regex( raddr_dt2$number[i], "[0-9+]" )
}
# 換字
raddr_dt2$raddr_full <- gsub( "臺", "台", raddr_dt2$raddr_full_wo_village)
raddr_dt2$raddr_full_wo_village_A_number <- gsub( "臺", "台", raddr_dt2$raddr_full_wo_village_A_number)
write.table( unique(raddr_dt2$raddr_full_wo_village_A_number), file.path(getwd(), "tw_road_raddr.txt")
, quote=FALSE, row.names=FALSE, col.names=FALSE
, fileEncoding="UTF-8" )
# 轉編碼
for(col in colnames(data)){
Encoding(data[[col]]) <- "UTF-8"
}
## 參考資料
# 全國路名資料：https://data.gov.tw/dataset/35321