Nothing
## -----------------------------------------------------------------------------
library(wikilake)
## ----category url, eval = FALSE-----------------------------------------------
# res <- WikipediR::page_info("en", "wikipedia",
# page = "Category:Lakes of Michigan")
## ----scrape names, eval = FALSE-----------------------------------------------
# res <- xml2::read_html(res$query$pages[[1]]$canonicalurl)
# res <- rvest::html_nodes(res, "#mw-pages .mw-category")
# res <- rvest::html_nodes(res, "li")
# res <- rvest::html_nodes(res, "a")
# res <- rvest::html_attr(res, "title")
## ----remove junk names, eval = FALSE------------------------------------------
# res <- res[!(seq_len(length(res)) %in% grep("List", res))]
# res <- res[!(seq_len(length(res)) %in% grep("Watershed", res))]
# res <- res[!(seq_len(length(res)) %in% grep("lakes", res))]
# res <- res[!(seq_len(length(res)) %in% grep("Mud Lake", res))]
## ----scrape tables, eval = FALSE----------------------------------------------
# res <- lapply(res, lake_wiki)
#
# # remove missing coordinates
# res <- res[unlist(lapply(res, function(x) !is.na(x[, "Lat"])))]
## ----collapse list to data.frame, eval = FALSE--------------------------------
# res_df_names <- unique(unlist(lapply(res, names)))
# res_df <- data.frame(matrix(NA, nrow = length(res),
# ncol = length(res_df_names)))
# names(res_df) <- res_df_names
# for (i in seq_len(length(res))) {
# dt_pad <- data.frame(matrix(NA, nrow = 1,
# ncol = length(res_df_names) - ncol(res[[i]])))
# names(dt_pad) <- res_df_names[!(res_df_names %in% names(res[[i]]))]
# dt <- cbind(res[[i]], dt_pad)
# dt <- dt[, res_df_names]
# res_df[i, ] <- dt
# }
## ----echo=FALSE, eval=FALSE---------------------------------------------------
# good_cols <- data.frame(as.numeric(as.character(apply(res_df,
# 2, function(x) sum(!is.na(x))))))
# good_cols <- cbind(good_cols, names(res_df))
# good_cols <- good_cols[good_cols[, 1] > 20, 2]
# good_cols <- as.character(good_cols)
#
# res_df <- res_df[, good_cols]
## ----echo = FALSE-------------------------------------------------------------
data(milakes)
res_df <- milakes
## ----map lakes, fig.height=6,fig.align="center"-------------------------------
library(sp)
coordinates(res_df) <- ~ Lon + Lat
map("state", region = "michigan", mar = c(0, 0, 0, 0))
points(res_df, col = "red", pch = 19)
## ----lake depth distribution--------------------------------------------------
hist(log(res_df$`Max. depth`), main = "", xlab = "Max depth (log(m))")
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