21 lines
1.1 KiB
R
21 lines
1.1 KiB
R
library(tidyverse)
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ALL_PARCEL_DATA <- read_csv("WELL_DITCH_PARCEL.csv")
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NAMES <- colnames(ALL_PARCEL_DATA )
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PARCEL_LINK <- ALL_PARCEL_DATA %>% select(NAMES[grep("PARCEL_ID|GW_ID|SW_WDID",NAMES )])
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PARCEL_LINK <- PARCEL_LINK %>% pivot_longer(-PARCEL_ID,values_to='wdid',names_to="type") %>% filter(!is.na(wdid))
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PARCEL_LINK$type <- ifelse(grepl("SW",PARCEL_LINK$type ),"SW","GW")
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WELL <- PARCEL_LINK %>% filter(type=='GW') %>% select(-type) %>% unique
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DITCH <- PARCEL_LINK %>% filter(type=='SW') %>% rename(ditch_id=wdid) %>% select(-type) %>% unique
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DITCH_WELL <- WELL %>% inner_join(DITCH) %>% select(-PARCEL_ID) %>% unique
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#TOP_20 <- (DITCH_WELL %>% group_by(ditch_id) %>% summarize(num=n()) %>% arrange(desc(num)))[1:20,] %>% pull(ditch_id)
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#DITCH_WELL$ditch_id[!(DITCH_WELL$ditch_id %in% TOP_20) ] <- "Other"
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DITCH_WELL <- DITCH_WELL %>% unique
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DITCH_WELL <- DITCH_WELL %>% pivot_wider(values_from=ditch_id,names_from=ditch_id,names_prefix="ditch_")
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DITCH_WELL[,-1] <- ifelse(is.na(DITCH_WELL[,-1]),0,1)
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DITCH_WELL <- DITCH_WELL %>% mutate(wdid=as.character(wdid))
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saveRDS(DITCH_WELL,"Well_Ditch_Link.rds")
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