{"id":2949,"date":"2014-04-01T14:44:33","date_gmt":"2014-04-01T19:44:33","guid":{"rendered":"http:\/\/rud.is\/b\/?p=2949"},"modified":"2018-03-07T16:44:24","modified_gmt":"2018-03-07T21:44:24","slug":"mapping-the-march-2014-california-earthquake-with-ggmap","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/","title":{"rendered":"Mapping the March 2014 California Earthquake with ggmap"},"content":{"rendered":"

I had no intention to blog this, but @jayjacobs convinced me otherwise. I was curious about the recent (end of March, 2014) [California earthquake](http:\/\/www.latimes.com\/local\/lanow\/la-me-ln-an-estimated-17-million-people-felt-51-earthquake-in-california-20140331,0,2465821.story#axzz2xfGBteq0) “storm” and did a quick plot for “fun” and personal use using `ggmap`\/`ggplot`.<\/p>\n

I used data from the [Southern California Earthquake Center](http:\/\/www.data.scec.org\/recent\/recenteqs\/Maps\/Los_Angeles.html) (that I cleaned up a bit and that you can find [here](\/dl\/quakes.dat)) but would have used the USGS quake data if the site hadn’t been down when I tried to get it from there.<\/p>\n

The code\/process isn’t exactly rocket-science, but if you’re looking for a simple way to layer some data on a “real” map (vs handling shapefiles on your own) then this is a really compact\/self-contained tutorial\/example. <\/p>\n

You can find the code & data over at [github](https:\/\/gist.github.com\/hrbrmstr\/9921419) as well.<\/p>\n

There’s lots of ‘splainin in the comments (which are prbly easier to read on the github site) but drop a note in the comments or on Twitter if it needs any further explanation. The graphic is SVG, so use a proper browser :-) or run the code in R if you can’t see it here.<\/p>\n

<\/a>
(click for larger version)<\/small><\/center><\/p>\n
library(ggplot2)\r\nlibrary(ggmap)\r\nlibrary(plyr)\r\nlibrary(grid)\r\nlibrary(gridExtra)\r\n\r\n# read in cleaned up data\r\ndat <- read.table(\"quakes.dat\", header=TRUE, stringsAsFactors=FALSE)\r\n\r\n# map decimal magnitudes into an integer range\r\ndat$m <- cut(dat$MAG, c(0:10))\r\n\r\n# convert to dates\r\ndat$DATE <- as.Date(dat$DATE)\r\n\r\n# so we can re-order the data frame\r\ndat <- dat[order(dat$DATE),]\r\n\r\n# not 100% necessary, but get just the numeric portion of the cut factor\r\ndat$Magnitude <- factor(as.numeric(dat$m))\r\n\r\n# sum up by date for the barplot\r\ndat.sum <- count(dat, .(DATE, Magnitude))\r\n\r\n# start the ggmap bit\r\n# It's super-handy that it understands things like \"Los Angeles\" #spoffy\r\n# I like the 'toner' version. Would also use a stamen map but I can't get \r\n# to it consistently from behind a proxy server\r\nla <- get_map(location=\"Los Angeles\", zoom=10, color=\"bw\", maptype=\"toner\")\r\n\r\n# get base map layer\r\ngg <- ggmap(la) \r\n\r\n# add points. Note that the plot will produce warnings for all points not in the\r\n# lat\/lon range of the base map layer. Also note that i'm encoding magnitude by\r\n# size and color and using alpha for depth. because of the way the data is sorted\r\n# the most recent quakes in the set should be on top\r\ngg <- gg + geom_point(data=dat,\r\n                      mapping=aes(x=LON, y=LAT, \r\n                                  size=MAG, fill=m, alpha=DEPTH), shape=21, color=\"black\")\r\n\r\n# this takes the magnitude domain and maps it to a better range of values (IMO)\r\ngg <- gg + scale_size_continuous(range=c(1,15))\r\n\r\n# this bit makes the right size color ramp. i like the reversed view better for this map\r\ngg <- gg + scale_fill_manual(values=rev(terrain.colors(length(levels(dat$Magnitude)))))\r\ngg <- gg + ggtitle(\"Recent Earthquakes in CA & NV\")\r\n\r\n# no need for a legend as the bars are pretty much the legend\r\ngg <- gg + theme(legend.position=\"none\")\r\n\r\n\r\n# now for the bars. we work with the summarized data frame\r\ngg.1 <- ggplot(dat.sum, aes(x=DATE, y=freq, group=Magnitude))\r\n\r\n# normally, i dislike stacked bar charts, but this is one time i think they work well\r\ngg.1 <- gg.1 + geom_bar(aes(fill=Magnitude), position=\"stack\", stat=\"identity\")\r\n\r\n# fancy, schmanzy color mapping again\r\ngg.1 <- gg.1 + scale_fill_manual(values=rev(terrain.colors(length(levels(dat$Magnitude)))))\r\n\r\n# show the data source!\r\ngg.1 <- gg.1 + labs(x=\"Data from: http:\/\/www.data.scec.org\/recent\/recenteqs\/Maps\/Los_Angeles.html\", y=\"Quake Count\")\r\ngg.1 <- gg.1 + theme_bw() #stopthegray\r\n\r\n# use grid.arrange to make the sizes work well\r\ngrid.arrange(gg, gg.1, nrow=2, ncol=1, heights=c(3,1))\r\n<\/pre>\n","protected":false},"excerpt":{"rendered":"
I had no intention to blog this, but @jayjacobs convinced me otherwise. I was curious about the recent (end of March, 2014) [California earthquake](http:\/\/www.latimes.com\/local\/lanow\/la-me-ln-an-estimated-17-million-people-felt-51-earthquake-in-california-20140331,0,2465821.story#axzz2xfGBteq0) “storm” and did a quick plot for “fun” and personal use using `ggmap`\/`ggplot`. I used data from the [Southern California Earthquake Center](http:\/\/www.data.scec.org\/recent\/recenteqs\/Maps\/Los_Angeles.html) (that I cleaned up a bit and that you […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"activitypub_content_warning":"","activitypub_content_visibility":"","activitypub_max_image_attachments":3,"activitypub_interaction_policy_quote":"anyone","activitypub_status":"","footnotes":""},"categories":[678,673,674,91],"tags":[810],"class_list":["post-2949","post","type-post","status-publish","format-standard","hentry","category-data-visualization","category-datavis-2","category-dataviz","category-r","tag-post"],"yoast_head":"\nMapping the March 2014 California Earthquake with ggmap - rud.is<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mapping the March 2014 California Earthquake with ggmap - rud.is\" \/>\n<meta property=\"og:description\" content=\"I had no intention to blog this, but @jayjacobs convinced me otherwise. I was curious about the recent (end of March, 2014) [California earthquake](http:\/\/www.latimes.com\/local\/lanow\/la-me-ln-an-estimated-17-million-people-felt-51-earthquake-in-california-20140331,0,2465821.story#axzz2xfGBteq0) “storm” and did a quick plot for “fun” and personal use using `ggmap`\/`ggplot`. I used data from the [Southern California Earthquake Center](http:\/\/www.data.scec.org\/recent\/recenteqs\/Maps\/Los_Angeles.html) (that I cleaned up a bit and that you […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/\" \/>\n<meta property=\"og:site_name\" content=\"rud.is\" \/>\n<meta property=\"article:published_time\" content=\"2014-04-01T19:44:33+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2018-03-07T21:44:24+00:00\" \/>\n<meta name=\"author\" content=\"hrbrmstr\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"hrbrmstr\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/\"},\"author\":{\"name\":\"hrbrmstr\",\"@id\":\"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886\"},\"headline\":\"Mapping the March 2014 California Earthquake with ggmap\",\"datePublished\":\"2014-04-01T19:44:33+00:00\",\"dateModified\":\"2018-03-07T21:44:24+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/\"},\"wordCount\":230,\"commentCount\":2,\"publisher\":{\"@id\":\"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886\"},\"keywords\":[\"post\"],\"articleSection\":[\"Data Visualization\",\"DataVis\",\"DataViz\",\"R\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/\",\"url\":\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/\",\"name\":\"Mapping the March 2014 California Earthquake with ggmap - rud.is\",\"isPartOf\":{\"@id\":\"https:\/\/rud.is\/b\/#website\"},\"datePublished\":\"2014-04-01T19:44:33+00:00\",\"dateModified\":\"2018-03-07T21:44:24+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/rud.is\/b\/2014\/04\/01\/mapping-the-march-2014-california-earthquake-with-ggmap\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/rud.is\/b\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Mapping the March 2014 California Earthquake with ggmap\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/rud.is\/b\/#website\",\"url\":\"https:\/\/rud.is\/b\/\",\"name\":\"rud.is\",\"description\":\""In God we trust. 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I was curious about the recent (end of March, 2014) [California earthquake](http:\/\/www.latimes.com\/local\/lanow\/la-me-ln-an-estimated-17-million-people-felt-51-earthquake-in-california-20140331,0,2465821.story#axzz2xfGBteq0) “storm” and did a quick plot for “fun” and personal use using `ggmap`\/`ggplot`. 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I've also been seeing an uptick in folks needing to geocode US city\/state to lat\/lon.\u2026","rel":"","context":"In "cartography"","block_context":{"text":"cartography","link":"https:\/\/rud.is\/b\/category\/cartography\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":4460,"url":"https:\/\/rud.is\/b\/2016\/06\/19\/a-call-to-armslist-data-analysis\/","url_meta":{"origin":2949,"position":2},"title":"A Call to Arms[list] Data Analysis!","author":"hrbrmstr","date":"2016-06-19","format":false,"excerpt":"The NPR vis team contributed to a recent [story](http:\/\/n.pr\/1USSliN) about Armslist, a \"craigslist for guns\". Now, I'm neither pro-\"gun\" or anti-\"gun\" since this subject, like most heated ones, has more than two sides. What I _am_ is pro-*data*, and the U.S. Congress is so [deep in the pockets of the\u2026","rel":"","context":"In "Charts & Graphs"","block_context":{"text":"Charts & Graphs","link":"https:\/\/rud.is\/b\/category\/charts-graphs\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/per-day-1.png?fit=1200%2C750&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/per-day-1.png?fit=1200%2C750&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/per-day-1.png?fit=1200%2C750&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/per-day-1.png?fit=1200%2C750&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/06\/per-day-1.png?fit=1200%2C750&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":11483,"url":"https:\/\/rud.is\/b\/2018\/09\/12\/the-evolution-of-data-literacy-at-the-u-s-department-of-energy-finding-power-grid-cyber-attacks-in-a-data-haystack\/","url_meta":{"origin":2949,"position":3},"title":"The Evolution of Data Literacy at the U.S. Department of Energy + Finding Power Grid Cyber Attacks in a Data Haystack","author":"hrbrmstr","date":"2018-09-12","format":false,"excerpt":"I was chatting with some cyber-mates at a recent event and the topic of cyber attacks on the U.S. power-grid came up (as it often does these days). The conversation was brief, but the topic made its way into active memory and resurfaced when I saw today's Data Is Plural\u2026","rel":"","context":"In "data wrangling"","block_context":{"text":"data wrangling","link":"https:\/\/rud.is\/b\/category\/data-wrangling\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/09\/2002.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/09\/2002.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/09\/2002.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/09\/2002.png?resize=700%2C400 2x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/09\/2002.png?resize=1050%2C600 3x"},"classes":[]},{"id":4242,"url":"https:\/\/rud.is\/b\/2016\/04\/06\/52vis-week-2-2016-week-14-honing-in-on-the-homeless\/","url_meta":{"origin":2949,"position":4},"title":"52Vis Week 2 (2016 Week #14) – Honing in on the Homeless","author":"hrbrmstr","date":"2016-04-06","format":false,"excerpt":">UPDATE: Since I put in a \"pull request\" requirement, I intended to put in a link to getting started with GitHub. Dr. Jenny Bryan's @stat545 has a great [section on git](https:\/\/stat545-ubc.github.io\/git00_index.html) that should hopefully make it a bit less painful. ### Why 52Vis? In case folks are wondering why I'm\u2026","rel":"","context":"In "Charts & Graphs"","block_context":{"text":"Charts & Graphs","link":"https:\/\/rud.is\/b\/category\/charts-graphs\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/percapita.png?fit=800%2C1200&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/percapita.png?fit=800%2C1200&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/percapita.png?fit=800%2C1200&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/percapita.png?fit=800%2C1200&ssl=1&resize=700%2C400 2x"},"classes":[]},{"id":10966,"url":"https:\/\/rud.is\/b\/2018\/07\/02\/freeing-pdf-data-to-account-for-the-unaccounted\/","url_meta":{"origin":2949,"position":5},"title":"Freeing PDF Data to Account for the Unaccounted","author":"hrbrmstr","date":"2018-07-02","format":false,"excerpt":"I've mentioned @stiles before on the blog but for those new to my blatherings, Matt is a top-notch data journalist with the @latimes and currently stationed in South Korea. I can only imagine how much busier his life has gotten since that fateful, awful November 2016 Tuesday, but I'm truly\u2026","rel":"","context":"In "R"","block_context":{"text":"R","link":"https:\/\/rud.is\/b\/category\/r\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/07\/plot_zoom_png.png?fit=1200%2C681&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/07\/plot_zoom_png.png?fit=1200%2C681&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/07\/plot_zoom_png.png?fit=1200%2C681&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/07\/plot_zoom_png.png?fit=1200%2C681&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2018\/07\/plot_zoom_png.png?fit=1200%2C681&ssl=1&resize=1050%2C600 3x"},"classes":[]}],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/2949","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/comments?post=2949"}],"version-history":[{"count":0,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/2949\/revisions"}],"wp:attachment":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/media?parent=2949"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/categories?post=2949"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/tags?post=2949"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}