st_moveInfo <- fread("data-raw/mete2481_站点变迁记录-(195101-201812).csv") # 1961年之前,数据有较多的错误 st = st_moveInfo[period_date_end > "1951-01-01", ] st[, dist := get_dist(lon, lat), .(site)] info = st[dist > 100, .N, .(site)][order(-N), ] # 2019年数据错误较多 # dist in the unit of km st = st_moveInfo[period_date_end > "1961-01-01", ] st[, dist := get_dist(lon, lat), .(site)] info = st[dist > 100, .N, .(site)][order(-N), ] # sites_bad = info$site sites_bad_from1951 = c(53938, 54830, 51573, 51814, 52378, 53693, 50915, 57067, 53195, 53730, 51058, 56193, 57761, 51329, 51722, 52607, 52884, 54287, 54313, 55279, 55294, 55578, 56792, 57080, 57460, 58246) sites_bad_from1961 = c(52378, 53730, 51058, 51329, 51722, 52607, 52884, 53195, 54287, 54313, 55279, 55294, 55578, 56792, 57080, 57460, 58246) # st[site == sites_bad_from1961[1]] all.equal(info$site, sites_bad_from1961) st_bad = st[site %in% sites_bad_from1961] # fwrite(st_bad, "data-raw/st_195101-201812-origin.csv") st_patch <- fread("data-raw/st_195101-201812-patches.csv") # st_patch$alt %<>% multiply_by(100) # fwrite(st_patch, "data-raw/st_195101-201812-patches.csv") st_patch[, dist := get_dist(lon, lat), .(site)] st_patch[dist > 100] st_patch = reflag(st_patch) st2 <- st[!(site %in% sites_bad_from1961), ] %>% rbind(st_patch) setkeyv(st2, c("site", "tag")) st_moveInfo <- st2 use_data(st_moveInfo, overwrite = TRUE) fwrite(st_moveInfo, "data-raw/st_195101-201812-adjusted.csv") # sites_bad2 = st2[dist > 50, site] %>% unique() # st2[site %in% sites_bad2, ] # sitenames <- get_sitenames(st_met2481$site[1:10])
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