From aa52c82de3c084c5dfefd6370627e2abe78535c0 Mon Sep 17 00:00:00 2001
From: boB Rudis <bob@rud.is>
Date: Fri, 4 Oct 2019 05:26:19 -0400
Subject: [PATCH] 2019

---
 01.png            |  Bin 0 -> 598790 bytes
 02.png            |  Bin 0 -> 599198 bytes
 03.png            |  Bin 0 -> 601274 bytes
 04.png            |  Bin 0 -> 604530 bytes
 05.png            |  Bin 0 -> 609587 bytes
 06.png            |  Bin 0 -> 611236 bytes
 07.png            |  Bin 0 -> 610678 bytes
 08.png            |  Bin 0 -> 612531 bytes
 09.png            |  Bin 0 -> 612975 bytes
 10.png            |  Bin 0 -> 614548 bytes
 11.png            |  Bin 0 -> 613000 bytes
 12.png            |  Bin 0 -> 610107 bytes
 data/rendered.csv | 6219 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 data/us.min.json  |    1 +
 foliage-2019.R    |   92 +
 15 files changed, 6312 insertions(+)
 create mode 100644 01.png
 create mode 100644 02.png
 create mode 100644 03.png
 create mode 100644 04.png
 create mode 100644 05.png
 create mode 100644 06.png
 create mode 100644 07.png
 create mode 100644 08.png
 create mode 100644 09.png
 create mode 100644 10.png
 create mode 100644 11.png
 create mode 100644 12.png
 create mode 100644 data/rendered.csv
 create mode 100644 data/us.min.json
 create mode 100644 foliage-2019.R

diff --git a/01.png b/01.png
new file mode 100644
index 0000000000000000000000000000000000000000..af5a06fcedbeb487023890318a9968e6e601d7cc
GIT binary patch
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diff --git a/data/rendered.csv b/data/rendered.csv
new file mode 100644
index 0000000..49fb64b
--- /dev/null
+++ b/data/rendered.csv
@@ -0,0 +1,6219 @@
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diff --git a/foliage-2019.R b/foliage-2019.R
new file mode 100644
index 0000000..a0ff9ad
--- /dev/null
+++ b/foliage-2019.R
@@ -0,0 +1,92 @@
+library(rprojroot)
+library(sf)
+library(magick)
+library(tidyverse)
+
+root <- find_rstudio_root_file()
+
+# "borrow" the files from SmokyMountains.com, but be nice and cache them to
+# avoid hitting their web server for every iteration
+
+c("https://s3.amazonaws.com/smc0m-tech-stor/static/js/us.min.json",
+  "https://smokymountains.com/wp-content/themes/smcom-2017/js/foliage2.tsv",
+  "https://cdn.smokymountains.com/static/maps/rendered.csv") %>%
+  walk(~{
+    sav_tmp <- file.path(root, "data", basename(.x))
+    if (!file.exists(sav_tmp)) download.file(.x, sav_tmp)
+  })
+
+# next, we read in the GeoJSON file twice. first, to get the counties
+states_sf <- read_sf(file.path(root, "data", "us.min.json"), "states", stringsAsFactors = FALSE)
+
+# we only want the continental US
+states_sf <- filter(states_sf, !(id %in% c("2", "15", "72", "78")))
+
+# it doesn't have a CRS so we give it one
+st_crs(states_sf) <- 4326
+
+# I ran into hiccups using coord_sf() to do this, so we convert it to Albers here
+states_sf <- st_transform(states_sf, 5070)
+
+
+# next we read in the states
+counties_sf <- read_sf(file.path(root, "data", "us.min.json"), "counties", stringsAsFactors = FALSE)
+st_crs(counties_sf) <- 4326
+counties_sf <- st_transform(counties_sf, 5070)
+
+# now, we read in the foliage data
+read_csv(
+  file.path(root, "data", "rendered.csv"),
+  na = "#N/A",
+  col_types = cols(.default=col_double(), id=col_character())
+) -> foliage
+
+colnames(foliage) <- c("id", sprintf("rate%d", 1:13))
+
+# and, since we have a lovely sf tidy data frame, bind it together
+left_join(counties_sf, foliage, "id") %>%
+  filter(!is.na(rate1)) -> foliage_sf
+
+# now, we do some munging so we have better labels and so we can
+# iterate over the weeks
+gather(foliage_sf, week, value, -id, -geometry) %>%
+  mutate(value = factor(value)) %>%
+  filter(week != "rate1") %>%
+  mutate(week = factor(week,
+                       levels=unique(week),
+                       labels=format(seq(as.Date("2017-08-26"),
+                                         as.Date("2017-11-11"), "1 week"),
+                                     "%b %d"))) -> foliage_sf
+
+# now we make a ggplot object for each week and save it out to a png
+pb <- progress_estimated(nlevels(foliage_sf$week))
+walk(1:nlevels(foliage_sf$week), ~{
+
+  pb$tick()$print()
+
+  xdf <- filter(foliage_sf, week == levels(week)[.x])
+
+  ggplot() +
+    geom_sf(data=xdf, aes(fill=value), size=0.05, color="#2b2b2b") +
+    geom_sf(data=states_sf, color="white", size=0.125, fill=NA) +
+    viridis::scale_fill_viridis(
+      name=NULL,
+      discrete = TRUE,
+      labels=c("No Change", "Minimal", "Patchy", "Partial", "Near Peak", "Peak", "Past Peak"),
+      drop=FALSE
+    ) +
+    labs(title=sprintf("Foliage: %s ", unique(xdf$week))) +
+    ggthemes::theme_map() +
+    theme(panel.grid=element_line(color="#00000000")) +
+    theme(panel.grid.major=element_line(color="#00000000")) +
+    theme(legend.position="right") -> gg
+
+  ggsave(sprintf("%02d.png", .x), gg, width=5, height=3)
+
+})
+
+# we read them all back in and animate the foliage
+sprintf("%02d.png", 1:nlevels(foliage_sf$week)) %>%
+  map(image_read) %>%
+  image_join() %>%
+  image_animate(1)