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March 2014 California Earthquakes via ggmap/ggplot
MAG DATE LOCAL-TIME LAT LON DEPTH
2.0 2014/03/31 07:21:17 33.916 -117.935 1.7
2.0 2014/03/31 07:15:53 33.925 -117.898 1.9
1.7 2014/03/31 07:10:39 33.903 -117.959 0.0
1.5 2014/03/31 05:22:48 34.141 -117.462 7.1
2.1 2014/03/31 04:41:22 33.961 -117.902 6.3
1.3 2014/03/31 03:00:56 33.903 -117.954 0.0
1.3 2014/03/31 01:26:57 33.915 -117.945 3.6
1.5 2014/03/31 00:06:00 33.953 -117.919 7.3
1.2 2014/03/30 22:55:01 33.956 -117.911 6.8
1.5 2014/03/30 21:20:34 33.939 -117.915 2.4
1.8 2014/03/30 21:07:37 34.350 -118.485 0.1
1.4 2014/03/30 20:57:52 33.905 -117.950 0.1
1.0 2014/03/30 18:42:20 34.099 -117.303 15.9
2.4 2014/03/30 17:59:50 33.900 -117.958 0.6
2.3 2014/03/30 17:58:01 33.909 -117.956 1.8
2.0 2014/03/30 16:10:34 33.960 -117.884 3.4
1.2 2014/03/30 13:57:06 34.266 -117.600 7.3
1.6 2014/03/30 11:58:07 33.929 -117.914 3.4
1.8 2014/03/30 11:13:23 33.915 -117.934 0.8
1.4 2014/03/30 09:53:53 33.903 -117.962 1.1
1.1 2014/03/30 09:37:02 33.928 -117.915 0.0
1.9 2014/03/30 09:15:44 33.893 -117.957 0.8
1.7 2014/03/30 09:13:21 33.917 -117.931 1.5
2.7 2014/03/30 09:05:00 33.915 -117.945 0.4
1.6 2014/03/30 08:41:57 34.983 -117.513 2.0
1.3 2014/03/30 08:41:30 34.123 -117.453 8.2
1.0 2014/03/30 06:28:57 34.183 -117.617 4.8
1.7 2014/03/30 05:28:50 33.947 -117.908 2.0
2.0 2014/03/30 04:57:09 33.898 -117.948 0.0
1.3 2014/03/30 04:57:01 33.935 -117.910 6.6
1.2 2014/03/30 02:14:07 33.932 -117.943 4.4
1.1 2014/03/30 01:23:42 33.907 -117.958 1.0
0.8 2014/03/30 01:15:39 33.938 -117.903 3.2
2.5 2014/03/30 01:13:59 33.930 -117.916 0.2
1.8 2014/03/30 00:43:54 33.910 -117.948 1.4
1.1 2014/03/30 00:31:52 33.900 -117.961 2.2
2.9 2014/03/29 23:31:49 33.904 -117.948 1.1
3.2 2014/03/29 23:17:31 33.903 -117.937 0.0
1.7 2014/03/29 22:53:53 33.897 -117.951 0.0
3.3 2014/03/29 22:51:22 33.907 -117.954 1.9
1.2 2014/03/29 22:33:21 33.902 -117.949 0.6
2.5 2014/03/29 22:23:00 33.938 -117.900 1.6
1.4 2014/03/29 22:17:29 33.961 -117.879 0.0
2.6 2014/03/29 22:06:33 33.910 -117.949 1.9
2.4 2014/03/29 22:00:07 33.950 -117.905 3.4
1.1 2014/03/29 21:41:42 33.959 -117.902 3.8
2.3 2014/03/29 21:10:11 33.902 -117.936 1.0
1.2 2014/03/29 21:09:39 33.912 -117.946 1.8
2.6 2014/03/29 20:48:20 33.915 -117.924 0.0
1.2 2014/03/29 19:54:50 33.930 -117.941 5.4
1.6 2014/03/29 18:34:26 33.927 -117.916 1.7
1.3 2014/03/29 18:30:46 33.926 -117.899 4.4
2.2 2014/03/29 17:58:18 34.112 -118.487 8.3
1.8 2014/03/29 17:55:14 33.906 -117.947 0.1
1.5 2014/03/29 17:24:09 33.961 -117.905 4.0
1.3 2014/03/29 16:41:22 33.948 -117.910 6.5
1.5 2014/03/29 16:26:31 33.905 -117.933 2.3
1.1 2014/03/29 16:02:55 33.957 -117.913 7.2
2.1 2014/03/29 16:00:19 33.962 -117.905 1.7
1.3 2014/03/29 15:05:21 33.905 -117.945 2.0
1.2 2014/03/29 14:54:06 33.955 -117.901 3.6
1.2 2014/03/29 14:53:03 33.914 -117.949 2.7
2.1 2014/03/29 14:36:12 33.964 -117.886 2.0
2.0 2014/03/29 14:35:47 33.919 -117.937 1.4
4.1 2014/03/29 14:32:45 33.961 -117.892 9.4
1.9 2014/03/29 13:50:26 33.757 -117.531 3.9
2.0 2014/03/29 13:16:57 33.926 -117.923 4.8
1.3 2014/03/29 13:14:56 33.914 -117.914 1.9
1.7 2014/03/29 11:10:03 33.914 -117.955 0.1
2.1 2014/03/29 11:07:35 33.907 -117.944 0.1
1.2 2014/03/29 10:42:52 34.032 -117.151 17.3
2.2 2014/03/29 10:41:18 33.908 -117.942 0.0
1.6 2014/03/29 10:38:58 33.935 -117.927 0.2
1.6 2014/03/29 10:05:49 33.908 -117.947 0.8
1.5 2014/03/29 09:29:16 33.900 -117.949 1.1
1.4 2014/03/29 09:27:38 33.900 -117.969 1.6
3.4 2014/03/29 09:02:06 33.905 -117.949 1.3
2.1 2014/03/29 08:58:02 33.906 -117.956 0.4
1.2 2014/03/29 08:29:28 33.917 -117.948 4.0
1.7 2014/03/29 08:11:19 33.903 -117.952 0.8
1.8 2014/03/29 08:10:45 33.901 -117.958 2.1
2.3 2014/03/29 07:53:49 33.899 -117.950 1.0
1.3 2014/03/29 07:53:18 33.893 -117.967 0.5
2.4 2014/03/29 07:48:13 33.899 -117.963 3.9
1.4 2014/03/29 07:37:18 33.915 -117.931 4.7
1.3 2014/03/29 07:24:25 33.924 -117.908 4.8
1.1 2014/03/29 06:54:02 34.196 -117.612 2.9
1.4 2014/03/29 06:26:08 33.915 -117.942 2.5
1.3 2014/03/29 05:54:07 33.908 -117.942 1.4
1.3 2014/03/29 05:43:00 33.922 -117.935 2.6
1.4 2014/03/29 05:25:44 33.909 -117.938 1.0
2.5 2014/03/29 05:04:27 33.932 -117.904 0.1
1.2 2014/03/29 04:53:16 33.910 -117.941 3.5
1.4 2014/03/29 04:42:11 33.897 -117.961 2.0
1.4 2014/03/29 04:32:35 33.925 -117.929 2.1
1.3 2014/03/29 04:29:41 33.932 -117.917 3.6
1.0 2014/03/29 04:29:08 33.916 -117.932 2.5
2.4 2014/03/29 04:22:57 33.764 -117.515 1.3
1.8 2014/03/29 04:15:25 33.895 -117.950 0.0
1.7 2014/03/29 04:06:12 33.940 -117.907 2.5
1.5 2014/03/29 04:03:24 33.931 -117.937 0.3
1.4 2014/03/29 04:01:55 33.919 -117.922 4.5
1.5 2014/03/29 03:48:26 33.929 -117.918 2.6
1.1 2014/03/29 03:46:59 33.903 -117.941 0.6
1.3 2014/03/29 03:38:58 33.937 -117.945 3.1
1.1 2014/03/29 03:38:53 33.909 -117.938 1.8
2.8 2014/03/29 03:31:51 33.911 -117.944 0.9
1.6 2014/03/29 03:23:52 33.907 -117.951 0.0
1.8 2014/03/29 03:07:58 33.926 -117.917 0.8
1.1 2014/03/29 03:00:54 33.911 -117.941 0.2
1.3 2014/03/29 02:54:42 33.934 -117.922 3.6
2.6 2014/03/29 02:49:40 33.908 -117.952 0.3
1.3 2014/03/29 02:48:05 33.940 -117.905 3.0
1.4 2014/03/29 02:46:01 33.925 -117.920 2.4
2.0 2014/03/29 02:41:30 33.901 -117.961 0.8
1.1 2014/03/29 02:38:35 33.903 -117.962 0.0
1.5 2014/03/29 02:31:34 33.898 -117.962 0.8
1.0 2014/03/29 02:25:43 33.906 -117.938 0.2
1.1 2014/03/29 01:51:22 33.912 -117.939 2.3
1.0 2014/03/29 01:41:02 33.902 -117.945 1.5
1.1 2014/03/29 01:40:01 33.897 -117.950 1.2
2.3 2014/03/29 01:26:41 33.906 -117.951 0.2
1.7 2014/03/29 01:23:54 33.899 -117.964 0.9
1.3 2014/03/29 01:23:12 33.914 -117.935 1.8
1.3 2014/03/29 01:03:46 33.940 -117.908 3.0
1.3 2014/03/29 00:59:52 33.899 -117.957 2.2
1.4 2014/03/29 00:50:41 33.893 -117.962 1.9
1.5 2014/03/29 00:46:11 33.900 -117.962 0.0
1.3 2014/03/29 00:45:55 33.937 -117.912 4.4
1.5 2014/03/29 00:42:49 33.910 -117.945 0.0
1.0 2014/03/29 00:39:22 33.942 -117.901 2.1
1.1 2014/03/29 00:32:15 33.931 -117.918 2.1
1.2 2014/03/29 00:25:04 33.915 -117.909 0.0
2.4 2014/03/29 00:17:27 33.925 -117.920 0.0
2.4 2014/03/29 00:17:27 33.964 -117.909 0.0
1.2 2014/03/29 00:08:37 33.905 -117.945 0.3
1.2 2014/03/29 00:02:12 33.896 -117.963 0.1
1.6 2014/03/28 23:54:18 33.900 -117.956 0.4
1.3 2014/03/28 23:43:40 33.928 -117.914 2.3
2.3 2014/03/28 23:42:19 33.915 -117.941 0.0
1.3 2014/03/28 23:40:21 33.897 -117.966 0.0
1.5 2014/03/28 23:38:08 33.896 -117.959 0.1
1.6 2014/03/28 23:25:05 33.911 -117.943 0.0
2.1 2014/03/28 23:21:52 33.925 -117.924 0.8
1.5 2014/03/28 23:19:25 33.907 -117.948 1.1
1.2 2014/03/28 23:17:27 33.934 -117.913 2.7
1.4 2014/03/28 23:16:10 33.917 -117.942 2.6
1.3 2014/03/28 23:15:46 33.916 -117.921 1.0
2.3 2014/03/28 23:12:45 33.904 -117.946 0.1
2.3 2014/03/28 23:12:30 33.902 -117.955 0.5
1.5 2014/03/28 23:11:43 33.933 -117.913 3.0
1.8 2014/03/28 23:07:09 33.920 -117.935 0.2
1.5 2014/03/28 23:01:20 33.921 -117.919 1.3
1.1 2014/03/28 23:00:15 33.924 -117.932 2.8
1.8 2014/03/28 22:50:46 33.908 -117.939 0.0
1.4 2014/03/28 22:44:27 33.929 -117.900 0.7
3.1 2014/03/28 22:37:14 33.922 -117.900 4.3
1.4 2014/03/28 22:22:22 33.923 -117.919 2.4
1.1 2014/03/28 22:19:07 33.913 -117.928 2.3
1.2 2014/03/28 22:18:02 33.909 -117.943 1.4
1.2 2014/03/28 22:06:40 33.898 -117.964 5.3
2.6 2014/03/28 22:05:31 33.938 -117.909 2.4
2.7 2014/03/28 22:05:31 33.934 -117.925 0.7
2.4 2014/03/28 21:56:45 33.923 -117.923 0.5
1.4 2014/03/28 21:55:44 33.910 -117.931 3.2
2.7 2014/03/28 21:53:57 33.942 -117.910 1.3
1.4 2014/03/28 21:50:37 33.899 -117.951 0.4
1.3 2014/03/28 21:49:47 33.910 -117.934 0.1
2.9 2014/03/28 21:47:13 33.932 -117.912 5.3
2.7 2014/03/28 21:45:37 33.939 -117.904 1.3
1.3 2014/03/28 21:44:34 33.908 -117.950 4.3
1.7 2014/03/28 21:39:25 33.923 -117.911 3.3
1.2 2014/03/28 21:38:20 33.916 -117.946 2.6
1.7 2014/03/28 21:36:44 33.915 -117.923 0.1
1.5 2014/03/28 21:35:23 33.909 -117.944 0.0
2.0 2014/03/28 21:35:03 33.906 -117.937 2.0
2.2 2014/03/28 21:32:13 33.911 -117.922 0.0
3.6 2014/03/28 21:30:51 33.919 -117.924 0.1
1.6 2014/03/28 21:30:28 33.928 -117.916 2.0
1.4 2014/03/28 21:30:06 33.922 -117.906 2.1
1.4 2014/03/28 21:29:28 33.928 -117.929 3.2
1.1 2014/03/28 21:27:40 33.890 -117.962 4.1
2.4 2014/03/28 21:19:54 33.918 -117.922 0.0
1.8 2014/03/28 21:19:19 33.922 -117.930 2.3
2.1 2014/03/28 21:18:01 33.925 -117.918 0.9
1.8 2014/03/28 21:17:19 33.925 -117.928 2.5
1.9 2014/03/28 21:16:28 33.917 -117.933 1.6
2.0 2014/03/28 21:15:12 33.927 -117.900 2.1
3.4 2014/03/28 21:11:53 33.924 -117.920 0.1
5.1 2014/03/28 21:09:42 33.919 -117.944 7.5
1.8 2014/03/28 21:08:56 34.217 -117.556 9.5
2.1 2014/03/28 20:16:47 33.928 -117.923 2.1
3.6 2014/03/28 20:03:39 33.923 -117.930 6.9
1.6 2014/03/28 16:10:52 33.833 -117.495 1.2
1.9 2014/03/28 10:35:55 34.158 -117.365 9.8
0.9 2014/03/28 05:00:03 34.062 -117.271 19.2
1.2 2014/03/28 03:39:54 34.136 -118.504 6.7
1.3 2014/03/28 00:10:20 34.123 -118.492 8.7
1.5 2014/03/27 22:46:17 34.168 -117.614 11.4
1.4 2014/03/27 14:59:48 34.129 -118.488 7.5
1.4 2014/03/27 11:31:31 34.374 -118.305 8.8
1.4 2014/03/27 09:31:09 34.009 -117.174 14.9
1.4 2014/03/27 04:21:56 34.123 -118.496 9.4
1.1 2014/03/26 09:35:29 33.824 -117.489 0.0
1.3 2014/03/25 12:27:49 33.846 -117.492 0.0
1.0 2014/03/25 12:02:19 34.049 -117.222 14.1
1.6 2014/03/25 10:36:56 34.119 -118.497 10.0
1.4 2014/03/25 07:29:56 34.024 -117.211 16.3
1.3 2014/03/25 02:53:33 34.195 -117.583 4.6
1.8 2014/03/24 23:02:08 34.209 -117.579 9.9
2.0 2014/03/24 15:24:58 33.754 -118.159 12.1
2.7 2014/03/24 15:05:51 33.801 -118.109 9.7
library(ggplot2)
library(ggmap)
library(plyr)
library(grid)
library(gridExtra)
# read in cleaned up data
dat <- read.table("quakes.dat", header=TRUE, stringsAsFactors=FALSE)
# map decimal magnitudes into an integer range
dat$m <- cut(dat$MAG, c(0:10))
# convert to dates
dat$DATE <- as.Date(dat$DATE)
# so we can re-order the data frame
dat <- dat[order(dat$DATE),]
# not 100% necessary, but get just the numeric portion of the cut factor
dat$Magnitude <- factor(as.numeric(dat$m))
# sum up by date for the barplot
dat.sum <- count(dat, .(DATE, Magnitude))
# start the ggmap() bit
# It's super-handy that it understands things like "Los Angeles" #spoffy
# I like the 'toner' version. Would also use a stamen map but I can't get
# to it consistently from behind a proxy server
la <- get_map(location="Los Angeles", zoom=10, color="bw", maptype="toner")
# get base map layer
gg <- ggmap(la)
# add points. Note that the plot will produce warnings for all points not in the
# lat/lon range of the base map layer. Also note that i'm encoding magnitude by
# size and color and using alpha for depth. because of the way the data is sorted
# the most recent quakes in the set should be on top
gg <- gg + geom_point(data=dat,
mapping=aes(x=LON, y=LAT,
size=MAG, fill=m, alpha=DEPTH), shape=21, color="black")
# this takes the magnitude domain and maps it to a better range of values (IMO)
gg <- gg + scale_size_continuous(range=c(1,15))
# this bit makes the right size color ramp. i like the reversed view better for this map
gg <- gg + scale_fill_manual(values=rev(terrain.colors(length(levels(dat$Magnitude)))))
gg <- gg + ggtitle("Recent Earthquakes in CA & NV")
# no need for a legend as the bars are pretty much the legend
gg <- gg + theme(legend.position="none")
# now for the bars. we work with the summarized data frame
gg.1 <- ggplot(dat.sum, aes(x=DATE, y=freq, group=Magnitude))
# normally, i dislike stacked bar charts, but this is one time i think they work well
gg.1 <- gg.1 + geom_bar(aes(fill=Magnitude), position="stack", stat="identity")
# fancy, schmanzy color mapping again
gg.1 <- gg.1 + scale_fill_manual(values=rev(terrain.colors(length(levels(dat$Magnitude)))))
# show the data source!
gg.1 <- gg.1 + labs(x="Data from: http://www.data.scec.org/recent/recenteqs/Maps/Los_Angeles.html", y="Quake Count")
gg.1 <- gg.1 + theme_bw()
# use grid.arrange to make the sizes work well
grid.arrange(gg, gg.1, nrow=2, ncol=1, heights=c(3,1))
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