Working from the small spatial scale up to a larger spatial scale. That high resolution version of the legacy map will remain unchanged. Such objects can now either be passed to map() directly or first be converted to a map-type list with the new functions 'SpatialPolygons2map()' and 'SpatialLines2map'. maps. This website uses cookies and other tracking technology to analyse traffic, personalise ads and learn how we can improve the experience for our visitors and customers. The leaflet R package is a wrapper of the Javascript leaflet.js library. Once you have gotten your maps, you make a call with. We now have the numbers that we want, but we need to attach those to every point on polygons of the counties. For instance, while most countries are named by their full name, "UK" and "USA" are shortened in the same way as in the old data base. Nor will cover the somewhat more simplified approach to projections using the mapproj package. Using R to create maps brings these benefits to mapping. I want to make series of maps. maps package Example 8.31: Choropleth maps. maps package | R Documentation We would like to show you a description here but the site won’t allow us. # We can't just throw down a theme_nothing()! This last map gives a nice view into the real benefits of using the maps package. It also sets the axis scales, etc, in a nice way. (experimental), #> Map from URL :,-119.751995&zoom=16&size=640x640&scale=2&maptype=satellite&language=en-EN&sensor=false. Note that the worldHires database from the mapdata package has identical map naming than the legacy world map. Instead of making a new column which is log10 of the. That was about as easy as could be. post-1990 Europe is dramatically different. The tidycensus and tmap R packages make an incredible duo for working with and visualizing US Census data.The tidycensus package, authored by Kyle Walker, streamlines geographic and tabular data downloads while the tmap package, written by Martijn Tennekes, vastly simplifies creating maps with multiple layers, accepts many different spatial object types and makes it easy to … Enhancements by Thomas P Minka. By default, geom_polygon() draws with no line color, but with a black fill: Here is no fill, with a red line. (>= 2.3.0), mapproj Remember, fixed value of aesthetics go outside the aes function. The above is pretty cool, but it seems like it would be a lot cooler if we could plot some information about those counties. What have we forgotten here? Rather than replacing 'worldHires' (in the mapdata package), this data set is available from the package mapdataNE (not yet on CRAN but already available from That is decent. Combined with Aaron Williams’s Urban Institute theme package and Urban’s mapping guide , this tool makes it simple to build Urban-styled maps as research aids or as final products in a publication. Display of maps. 'world2' now has clean boundaries when 'fill=TRUE'. A simple guide to plotting maps in R using the High-resolution map data of the World. Here is the high-res world map centered on the Pacific Ocean from mapdata. I am basically interested in how close together sites in the same “region” or “area” or “sector” are, and pondering whether it is OK to aggregate fish recoveries at a certain level for the purposes of getting a better overall estimate of the proportion of fish from different hatcheries in these areas. I am just keeping people on their toes. Type '?iso3166' for details. In our book, we show a simple example of a map (section 6.4.2) where we read the boundary files as data sets and use SAS and R to plot them. United States State Population Cartogram Map. Documentation reproduced from package maps, version 3.3.0, License: GPL-2 Community examples. But, since I see both names are used in different data sets, I decided to keep it as is for GeoJSON side of the data and fix the demographic data as part of the data wrangling step by using ‘recode’ function from ‘dplyr’ package. To get the old (non-documented) behaviour (plot map with exact=FALSE, write text for exact=TRUE) you should now use 2 commands: now works correctly for regions containing ":". Fish sampling locations from the coded wire tag data base. For this, I have whittled down some stuff in the coded wire tag data base to georeferenced marine locations in British Columbia where at least one Chinook salmon was recovered in between 2000 and 2012 inclusive. Two different solutions to the above question will be provided here, using two different R packages. Created by Making Maps with R Intro. A new databse 'lakes' has been added. More recently, a third approach to convenient mapping, using ggmap has been developed that allows the tiling of detailed base maps from Google Earth or Open Street Maps, upon which spatial data may be plotted. The naming of all polygons is as close as possible to the old world map. This can be useful if you want more than simply a blank map with points plotted on it. Today, we are going to focus on mapping using base maps from R’s tried and true maps package and also using the ggmap package. API documentation R package. ‘RgoogleMaps’ allows you to plot data points on any sort of map you can imagine seeing (terrain, satellite, hybrid) from using Google Maps in your browser. Find local businesses, view maps and get driving directions in Google Maps. The data set iso3166 (see further) is added to provide more details. rayshader is an open source package for producing 2D and 3D data visualizations in R. rayshader uses elevation data in a base R matrix and a combination of raytracing, spherical texture mapping, overlays, and ambient occlusion to generate beautiful topographic 2D and 3D maps. This is inevitable, since e.g. maps. This version 3 of the maps package. Example. In v3.3, al these methods are deprecated (but will still function). So, pretty simple stuff. Note that the scale of these maps from package maps are not great. The make_bbox function has never really worked for me. Notice that region names are unique overall (not just within N or S) so we can just color by region name. This removes small artefacts, but plotting worldHires becomes rather slow, should you ever want to plot a full world map at such a high resolution. [Rdoc](](, mapdata The iso3166 table may have to be adapted for the Natural Earth 1:10 database, some extra rows have already been inserted. For instance, map(region="France") now only shows metropolitan France and one or two remote islands. (>= 1.2-0), R Let’s add black and yellow points at our lab and at the NWFSC in Seattle. Templates and plugins to build the site are modified from Hadley Wickham's Advanced R website. This recipe demonstrates the capabilities of these maps.Install the maps package. See all sources at the course. #> converting bounding box to center/zoom specification. ggmap is a package that goes out to different map servers and grabs base maps to plot things on, then it sets up the coordinate system and writes it out as the base layer for further ggplotting. This was potentially broken due to locale-dependent behaviour of order(). Enable JavaScript to see Google Maps. Installing rMaps. Type '?iso.expand' for details. A GPS track from a short bike ride in Wilder Ranch. And finally, add a column of people_per_mile: If you were needing a little more elbow room in the great Golden State, this shows you where you can find it: I personally like more color than ggplot uses in its default gradient. The 'world' data base has been replaced by a much more recent data base, imported from the Natural Earth data project (the 1:50m world map, version 2.0, the latest version available in 2015) Can we do something similar with ggplot? )? In fact, for some applications it may now suffice rather than needing to import worldHires. # Don't bother installing if you already have them, # the github version of ggmap, which recently pulled in a small fix I had, #> long lat group order region subregion, #> 1 -101.4078 29.74224 1 1 main , #> 2 -101.3906 29.74224 1 2 main , #> 3 -101.3620 29.65056 1 3 main , #> 4 -101.3505 29.63911 1 4 main , #> 5 -101.3219 29.63338 1 5 main , #> 6 -101.3047 29.64484 1 6 main , #> long lat group order region subregion, #> 7247 -122.6187 48.37482 10 7247 whidbey island , #> 7248 -122.6359 48.35764 10 7248 whidbey island , #> 7249 -122.6703 48.31180 10 7249 whidbey island , #> 7250 -122.7218 48.23732 10 7250 whidbey island , #> 7251 -122.7104 48.21440 10 7251 whidbey island , #> 7252 -122.6703 48.17429 10 7252 whidbey island , #> long lat group order region subregion, #> 1 226.6336 58.42416 1 1 Canada , #> 2 226.6314 58.42336 1 2 Canada , #> 3 226.6122 58.41196 1 3 Canada , #> 4 226.5911 58.40027 1 4 Canada , #> 5 226.5719 58.38864 1 5 Canada , #> 6 226.5528 58.37724 1 6 Canada , #> long lat group order region subregion, #> 2276817 125.0258 11.18471 2284 2276817 Philippines Leyte, #> 2276818 125.0172 11.17142 2284 2276818 Philippines Leyte, #> 2276819 125.0114 11.16110 2284 2276819 Philippines Leyte, #> 2276820 125.0100 11.15555 2284 2276820 Philippines Leyte, #> 2276821 125.0111 11.14861 2284 2276821 Philippines Leyte, #> 2276822 125.0155 11.13887 2284 2276822 Philippines Leyte, # we already did this, but we can do it again, #> long lat group order region subregion, #> 1 -87.46201 30.38968 1 1 alabama , #> 2 -87.48493 30.37249 1 2 alabama , #> 3 -87.52503 30.37249 1 3 alabama , #> 4 -87.53076 30.33239 1 4 alabama , #> 5 -87.57087 30.32665 1 5 alabama , #> 6 -87.58806 30.32665 1 6 alabama , #> long lat group order region subregion, #> 15594 -106.3295 41.00659 63 15594 wyoming , #> 15595 -106.8566 41.01232 63 15595 wyoming , #> 15596 -107.3093 41.01805 63 15596 wyoming , #> 15597 -107.9223 41.01805 63 15597 wyoming , #> 15598 -109.0568 40.98940 63 15598 wyoming , #> 15599 -109.0511 40.99513 63 15599 wyoming , #> long lat group order region subregion, #> 667 -120.0060 42.00927 4 667 california , #> 668 -120.0060 41.20139 4 668 california , #> 669 -120.0060 39.70024 4 669 california , #> 670 -119.9946 39.44241 4 670 california , #> 671 -120.0060 39.31636 4 671 california , #> 672 -120.0060 39.16166 4 672 california , #> long lat group order region subregion, #> 6965 -121.4785 37.48290 157 6965 california alameda, #> 6966 -121.5129 37.48290 157 6966 california alameda, #> 6967 -121.8853 37.48290 157 6967 california alameda, #> 6968 -121.8968 37.46571 157 6968 california alameda, #> 6969 -121.9254 37.45998 157 6969 california alameda, #> 6970 -121.9483 37.47717 157 6970 california alameda, # give names and make population and area numeric, #> subregion long lat group order region population area, #> 1 alameda -121.4785 37.48290 157 6965 california 1578891 738, #> 2 alameda -121.5129 37.48290 157 6966 california 1578891 738, #> 3 alameda -121.8853 37.48290 157 6967 california 1578891 738, #> 4 alameda -121.8968 37.46571 157 6968 california 1578891 738, #> 5 alameda -121.9254 37.45998 157 6969 california 1578891 738, #> 6 alameda -121.9483 37.47717 157 6970 california 1578891 738, # prepare to drop the axes and ticks but leave the guides and legends. Let’s take the log-base-10 of the population density. I want it to be a satellite map. It’s used by websites ranging from The New York Times and The Washington Post to GitHub and Flickr, as well as GIS specialists like OpenStreetMap, Mapbox, and CartoDB. The naming scheme unfortunately does not permit to represent all the intricacies. Previously, the "exact=TRUE" was not passed to the map drawing if add=FALSE. This gives more flexibility. For instance, R is capable of doing wonderful maps such as this or this. # note that ggmap tends to use "lon" instead of "long" for longitude. I feel that the above twp topics should cover a large part of what people will need for making useful maps of field sites, or sampling locations, or fishing track lines, etc. The main change with respect to v2 is a more recent world map. Country names have changed. It’s main goal is to fill the gap of quick (not presentation grade) interactive plotting to examine and visually investigate both aspects of spatial data, the geometries and their attributes. R is great not only for doing statistics, but also for many other tasks, including GIS analysis and working with spatial data. Deprecated: Calling world.legacy(TRUE) for switching to the old database and world.legacy(FALSE) to switch back on the fly. #> left bottom right top, #> -119.76198 34.75111 -119.74201 34.75507, # First get the map. When you have eliminated the JavaScript , whatever remains must be an empty page. If you want to keep all the data the same but just zoom in, you can use the. Solution #1 – ggmap. DEPRECATED! ##FALL BACK TO LEGACY WORLD DATABASE pandoc. i.e. using. The package ggmap allows visualizations of spatial data on maps retrieved from Google Maps, OpenStreetMap or other services. rMaps makes it easy to create, customize and share interactive maps from R, with a few lines of code. Legacy low resolution World Map. These are now in a separate database called 'lakes'. ). As in our previous explorations in this course, when it comes to plotting, we are going to completely skip over R’s base graphics system and head directly to Hadley Wickham’s ggplot2 package. With over 20 years of experience, he provides consulting and training services in the use of R. Joris Meys is a statistician, R programmer and R lecturer with the faculty of Bio-Engineering at the University of Ghent. #> Map from URL :,-119.751324&zoom=15&size=640x640&scale=2&maptype=satellite&language=en-EN&sensor=false, #> Map from URL :,-119.751324&zoom=15&size=640x640&scale=2&maptype=terrain&language=en-EN&sensor=false, #> lon lat elevation time, #> 1 -122.0646 36.95144 15.8 2011-12-08T19:37:56Z, #> 2 -122.0646 36.95191 15.5 2011-12-08T19:37:59Z, #> 3 -122.0645 36.95201 15.4 2011-12-08T19:38:04Z, #> 4 -122.0645 36.95218 15.5 2011-12-08T19:38:07Z, #> 5 -122.0643 36.95224 15.7 2011-12-08T19:38:10Z, #> 6 -122.0642 36.95233 15.8 2011-12-08T19:38:13Z, #> Map from URL :,-122.080954&zoom=14&size=640x640&scale=2&maptype=terrain&language=en-EN&sensor=false, #> state_or_province water_type sector region area location sub_location, #> 1 2 M S 22 016 THOR IS 01, #> 2 2 M N 26 012 MITC BY 18, #> 3 2 M S 22 015 HARW IS 02, #> 4 2 M N 26 006 HOPK PT 01, #> 5 2 M S 23 017 TENT IS 06, #> 6 2 M S 28 23A NAHM BY 02, #> 7 2 M N 26 006 GIL IS 06, #> 8 2 M S 27 024 CLEL IS 06, #> 9 2 M S 27 23B SAND IS 04, #> 10 2 M N 26 012 DUVA IS 16. Luckily, we can convert between the two systems pretty easily in R, thanks to ‘spTransform’ function from ‘rgdal’ package from Roger Bivand and others. 3.3 Choropleth mapping with ggplot2. ), for all points, or using grouping from the data (i.edefining their “aesthetics”). This is a job for inner_join from the dplyr package. I am going to run through three examples. Leaflet is one of the most popular open-source JavaScript libraries for interactive maps. The new 'world' database has a higher resolution than before and looks much smoother. To see how I did all that you can check out this. Andrie de Vries is a leading R expert and Business Services Director for Revolution Analytics. ggmap simplifies the process of downloading base maps from Google or Open Street Maps or Stamen Maps to use in the background of your plots. as country labels on a map), but also create a list based on the sovereignty. North is in the north, south is in the south, and the three reddish points are clearly aberrant ones at the mouths of rivers. Hence there are new starting points and ending points for some groups (or in this case the black-line permiter of California) and those points get connected. #> .. ... ... ... ... ... ... ... #> Variables not shown: longitude (dbl), latitude (dbl), #> -133.63297 47.92497 -122.33652 55.80833, #> Map from URL :,-127.98475&zoom=6&size=640x640&scale=2&maptype=terrain&language=en-EN&sensor=false, # plot the points and color them by sector, # now we want to count up how many areas there are,, Introduce readers to the map outlines available in the, Show how to convert those data into data frames that. While it's been possible to create maps in R for a long time, some recent packages and data APIs have made the process much simpler. Natural Earth also supports a high-resolution (1:10m) world map. Elements of a map can be added or removed with ease — R code can be tweaked to … In fact, I copied their little table on Wikipedia and saved it into. To add all overseas territories and departments, you can use region=sov.expand("France"), which creates a list of all countries under French sovereignty. We can zoom in to the Bay region, and it sort of works scale-wise, but if we wanted to zoom in more, it would be tough. RgoogleMaps I will introduce one last topic before wrapping this post up because I think this is a useful package. Cool! See how we have mapped elevation to the color of the path using our rainbow colors again. Examples are given for plotting the whole world, a selection of individual countries, a map of the United Kingdom or adding locations to your map. We would like to show you a description here but the site won’t allow us. The maps, mapdata and oz packages provide the boundaries of the most common world regions like the US, Europe, New Zealand and more. You can even do maps::map("madata::worldHires"). Even maps in e.g. As of version 3.1, the 'world' database no longer contains lakes and lake islands. Let’s try: Nope! I was riding my bike one day with a my phone and downloaded the GPS readings at short intervals. We can set the new coordinate system with ‘CRS’ function and set it to ‘spTransform’ function like below. The default projection for the maps package is rectangular, meaning that latitude and longitude are balanced based on the center point of the image. Powered by jekyll, ggmap typically asks you for a zoom level, but we can try using ggmap’s make_bbox function: Now, when we grab the map ggmap will try to fit it into that bounding box. Depending on your map’s location, there could be significant distortion. not geographic). This is an exciting development, but not always easily accessible for the beginner, as it requires installation of specialized external libraries (that may, on some platforms, not be straightforward) and considerable familiarity with GIS concepts. In our lab they’re a routine part of our flow cytometry and sequence analysis workflows, but we use them for all kinds of environmental data (like this).). . This will have to be via a new argument e.g. It is time to really put this thing through its paces. It appears like we could probably color code over the whole area down to region, and then down to area within subregions. Some inconsistencies in the naming procedure remain. There are a few mechanisms to use the old 'world' database rather than the updated one, should that be necessary: The last two options should only be used as a temporary last resource, to quickly run code that requires the old database without having to edit it. For UK, this even required a hack in the mapping code to avoid adding Ukrain to the map. GitHub - adeckmyn/maps: R package for geographical maps A handy layer for creating maps for display is the bc_neighbours layer, accessible with the function by the same name. Named “sampling” points on the Sisquoc River from the “Sisquoctober Adventure”. These functions do not copy all the information present in the original data: only polygon names and co-ordinates are preserved (additional information like holes, plotting order etc. I generate a world map, a map of the USA, and a map containing only MN, ND, and SD. I also included a copy of the last map generated in the help file’s example code for the map function, which shows the unemployment rate in the US in each county in 2009. ###R package for geographical maps. Because of this segmentation by ISO code (and, often parallel, by admin-0 level), some countries now have much less islands. ###R package for geographical maps. This version 3 of the maps package. v3.2 adds new options to map() for wrapping and exact boundary clipping. Most functions now use perl-style regular expressions internally, rather than the default style. So you can use the 2- or 3-letter ISO code (e.g. March 22, 2011 | Ken Kleinman. The popuation density in San Francisco is so great that it makes it hard to discern differences between other areas. R is a scriptable language that allows the user to write out a code in which it will execute the commands specified. Some remote islands that are officially part of other countries may cause an unexpected change in the scale of a map. The data set has been moved to the 'mapdata' package, where it is called "worldLores". The new data base contains less small islands, but the choice may be a bit different. Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. A data frame iso3166 has been added which, for every country on the new world map, lists the official name, the ISO3166 2- and 3-letter codes, and also the sovereignty. The old map legacy map is included and switching to "legacy" mode is explained below. The old map legacy map is still available from the package mapdata. R version by Ray Brownrigg. Think of it as a function that turns a series of points along an outline into a data frame of those points. Projection code and larger maps are in To account for this, you can use the mapproj package to select from a list of approximately 40 alternative map projections. How? Identify countries by ISO 3166 codes (2 or 3 letters) or by Sovereignty. Read SpatialPolygons and SpatialLines objects. The R package allows users to load in shapefiles, equipped with geographic identifiers for merging with other data, with just one line of code. The release of the leaflet package in 2015 revolutionized interactive web map creation from within R and a number of packages have built on these foundations adding new features (e.g., leaflet.extras) and making the creation of web maps as simple as creating static maps (e.g., mapview and tmap). map.text(..., exact=TRUE) now behaves as documented. separate packages ('mapproj' and 'mapdata'). One for each region, in which the the areas in that region are colored differently. In this example, we add the two points asdiamon… knitr, and [! All of the mainstream data analysis languages (R, Python, Matlab) have packages for training and working with SOMs. v3.1 includes support for 'SpatialPolygons' and 'SpatialLines' classes. #> Warning: Removed 3 rows containing missing values (geom_point). In that respect I gravitate more toward Matlab’s default color gradient. (>= 3.0.0), Allan Wilks. Authored by Eric C. Anderson working as a Federal employee. The maps package has several pre-built maps that we can download and adapt. (Actually it is a little better than before because I hacked ggmap a bit…) Let’s try using the zoom level. As of v3.1, map(..., fill=TRUE) no longer applies thinning. The ggplot() syntax is different from the previous as a plot is built up by adding components with a +.You can start with a layer showing the raw data then add layers of annotations and statistical summaries. How about if we use the “terrain” type of map: That is cool, but I would search for a better color for the lettering…. (Keeping in mind that. It allows to build stunning interactive maps in minutes with R. Maps can be exported and standalong html files, or be embeded in a R markdown file or a shiny application. How's this site built? For instance the package 'maptools' offers the function 'readShapePoly()', which reads a shapefile into a 'SpatialPolygonsDataFrame' that can be used as a map database (as of version 3.1). This version 3 of the maps package. Post a new example: Submit your example. The main change with respect to v2 is a new world map. Content on this website is a government work in the public domain in the U.S. and under the CC0 1.0 internationally. As explained below, this will now occur. color of the outline and the filling,shape, size, etc. For a long time, R has had a relatively simple mechanism, via the maps package, for making simple outlines of maps and plotting lat-long points and paths on them.. More recently, with the advent of packages like sp, rgdal, and rgeos, R has been acquiring much of the functionality of traditional GIS packages (like ArcGIS, etc).). The old map legacy map is included and switching to "legacy" mode is explained below. These locations in BC are hierarchically structured. Interactive viewing of spatial data in R. mapview provides functions to very quickly and conveniently create interactive visualisations of spatial data. Note that I am saving them to PDFs because it is no fun to make a web page with all of those in there. We can also get a data frame of polygons that tell us above state boundaries: This is just like it is above, but we can map fill to region and make sure the the lines of state borders are white. Plot the state first but let’s ditch the axes gridlines, and gray background by using the super-wonderful theme_nothing(). A set of simple functions use this iso3166 table for creating a list of countries to map. Let’s just enumerate things first, using dplyr: That looks good. In this tutorial I will show some basic GIS functionality in R. Basic packages That was a fail, but we got a warning about it too. You can go to google maps to figure out where the center should be (right click and choose “What’s here?” to get the lat-long of any point. This is a job for a scale transformation. # these are packages you will need, but probably already have. Source Overview. Not good. You might be able to get better looking maps at some resolutions by using shapefiles and rasters from but ggmap will get you 95% of the way there with only 5% of the work! This R package makes it easy to integrate and control Leaflet maps in R. shapefile format can now easily be imported for use in 'map()'. The choice is now mainly dependent on whether the entity has a seperate ISO code. Keep in mind that there are no factors in this data frame so we don’t have to worry about dropping levels, etc. Here we plot that map without using the group aesthetic: That is no bueno! The main change with respect to v2 is a new world map. You are going to need to install a few extra packages to follow along with this lecture. A map of Europe is obtained with just four lines of R code (including the loading of packages. A different value might be needed closer to the poles. By default it gets it from Google. Computerworld's Sharon Machlis has published a very useful tutorial on creating geographic data maps with R. (The tutorial was actually published back in March, but I only came across it recently.) Once again that was dirt easy, though at this scale with all the different regions, it is hard to resolve all the colors. Hello everyone, I'm relatively new to coding so I'm sorry for any information I may leave out here. ISO 3166 country codes (2 or 3 letters) and sovereignty. This version 3 of the maps package. This chops stuff off but doesn’t discard it from the data set: The ggmap package is the most exciting R mapping tool in a long time! This post describes how to … Essentially, having to points in different groups means that, Maps in this format can be plotted with the polygon geom.