{"id":1353,"date":"2013-10-08T12:00:13","date_gmt":"2013-10-08T12:00:13","guid":{"rendered":"http:\/\/www.ralphstraumann.ch\/blog\/?p=1353"},"modified":"2013-12-10T10:29:05","modified_gmt":"2013-12-10T10:29:05","slug":"hexagons-quasi-maps-and-cartograms","status":"publish","type":"post","link":"https:\/\/www.ralphstraumann.ch\/blog\/2013\/10\/hexagons-quasi-maps-and-cartograms\/","title":{"rendered":"Hexagons, quasi-maps and cartograms"},"content":{"rendered":"<p>Some months ago I mapped\u00a0<span style=\"line-height: 1.714285714; font-size: 1rem;\">Switzerland&#8217;s administrative regions using a <a href=\"http:\/\/www.ralphstraumann.ch\/projects\/swiss-population-cartogram\/\">hexagonal cartogram<\/a>. That idea was inspired by pioneering work of the <a href=\"http:\/\/www.leics.gov.uk\/index\/your_council\/council_services_contacts\/about_leicestershire\/statistics\/ourexpertise\/gis.htm\">Leicestershire County Council<\/a>. After consulting with experts in the field \u2013 Leicestershire&#8217;s Alex Lea, <a href=\"http:\/\/www.dannydorling.org\/\">Danny Dorling<\/a>\u00a0of <a href=\"http:\/\/www.worldmapper.org\/\">Worldmapper <\/a>(currently at the University of Oxford) and <a href=\"http:\/\/www.mapresso.com\/adi.html\">Adrian Herzog<\/a> of <a href=\"http:\/\/www.mapresso.com\/\">MAPresso<\/a>\u00a0fame \u2013 \u00a0I came up with my own workflow for the creation of such a cartogram, documented <a href=\"http:\/\/www.ralphstraumann.ch\/blog\/2013\/05\/conceptualisation-of-a-d3-linked-view-with-hexagonal-cartogram\/\">here<\/a> and <a href=\"http:\/\/www.ralphstraumann.ch\/blog\/2013\/05\/creating-a-hexagonal-cartogram\/\">here<\/a>. (Though beware: <a href=\"http:\/\/bost.ocks.org\/mike\/\">Mike Bostock<\/a>\u00a0liked the results but found it <a href=\"http:\/\/datastori.es\/data-stories-22-nyt-graphics-and-d3-with-mike-bostock-and-shan-carter\/#t=38:12.913\">relatively laborious<\/a>\u00a0when he made one).<\/span><\/p>\n<p>Ever since I published that cartogram, I have the feeling to see hexagonal maps everywhere. Most recently, my friends and colleagues at <a href=\"http:\/\/www.oii.ox.ac.uk\">Oxford Internet Institute<\/a>, Stefano de Sabbata and Mark Graham, have published the <a href=\"http:\/\/geography.oii.ox.ac.uk\/2013\/09\/age-of-internet-empires\/\">following cartogram<\/a> along with their now famous map <a href=\"http:\/\/geography.oii.ox.ac.uk\/2013\/09\/age-of-internet-empires\/\">&#8220;Ages of Internet Empires&#8221;<\/a>:<\/p>\n<figure id=\"attachment_1373\" aria-describedby=\"caption-attachment-1373\" style=\"width: 590px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/geography.oii.ox.ac.uk\/2013\/09\/age-of-internet-empires\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1373\" alt=\"Internet Empires by OII\" src=\"http:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/oii_internet_cartogram.png\" width=\"590\" height=\"309\" srcset=\"https:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/oii_internet_cartogram.png 590w, https:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/oii_internet_cartogram-300x157.png 300w\" sizes=\"auto, (max-width: 590px) 100vw, 590px\" \/><\/a><figcaption id=\"caption-attachment-1373\" class=\"wp-caption-text\">Internet Empires by OII<\/figcaption><\/figure>\n<p>Another nice example, though not a cartogram, is this visualization of New York transit times (let&#8217;s not talk of the rainbow colour scale for a moment):<!--more--><\/p>\n<figure id=\"attachment_1375\" aria-describedby=\"caption-attachment-1375\" style=\"width: 590px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/project.wnyc.org\/transit-time\/#40.67478,-74.05918,12,728\"><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-1375  \" title=\"New York transit times\" alt=\"New York transit times\" src=\"http:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/wnyc_transit_time.png\" width=\"590\" height=\"377\" srcset=\"https:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/wnyc_transit_time.png 590w, https:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/wnyc_transit_time-300x191.png 300w\" sizes=\"auto, (max-width: 590px) 100vw, 590px\" \/><\/a><figcaption id=\"caption-attachment-1375\" class=\"wp-caption-text\">New York transit times<\/figcaption><\/figure>\n<p>Here, as in the following example of a place name visualisation the hexagons are not used to <a href=\"http:\/\/www.ralphstraumann.ch\/blog\/2013\/05\/conceptualisation-of-a-d3-linked-view-with-hexagonal-cartogram\/\">abstract and generalise cartogram shapes<\/a> but as tesselations of space:<\/p>\n<figure id=\"attachment_1374\" aria-describedby=\"caption-attachment-1374\" style=\"width: 590px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/ssz.fr\/fruk\/#^saint\/^ll\/ton$\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1374\" alt=\"Placename patterns\" src=\"http:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/placename_patterns.png\" width=\"590\" height=\"490\" srcset=\"https:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/placename_patterns.png 590w, https:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/placename_patterns-300x249.png 300w\" sizes=\"auto, (max-width: 590px) 100vw, 590px\" \/><\/a><figcaption id=\"caption-attachment-1374\" class=\"wp-caption-text\">Placename patterns<\/figcaption><\/figure>\n<p>It seems such hexagonal tesselations have become more fashionable over the last few months. Whenever I see them, I&#8217;m reminded of discussions that exceed the mere attractiveness of such a data representation. Obviously, the classical raster data model in GIS consists of a <a href=\"http:\/\/courses.washington.edu\/gis250\/lessons\/introduction_gis\/spatial_data_model.html\">regular grid of quadratic raster cells<\/a>.<\/p>\n<figure id=\"attachment_1376\" aria-describedby=\"caption-attachment-1376\" style=\"width: 590px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/cnrfiles.uwsp.edu\/turyk\/Database\/Development\/MJB\/private\/Thesis\/JournalArticles\/hengl_digital%20demtalk.pdf\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1376\" alt=\"Raster grid in flow direction analysis\" src=\"http:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/raster_grid_in_DEM_analysis.png\" width=\"590\" height=\"245\" srcset=\"https:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/raster_grid_in_DEM_analysis.png 590w, https:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/raster_grid_in_DEM_analysis-300x124.png 300w\" sizes=\"auto, (max-width: 590px) 100vw, 590px\" \/><\/a><figcaption id=\"caption-attachment-1376\" class=\"wp-caption-text\">Raster grid in flow direction analysis (<a href=\"http:\/\/cnrfiles.uwsp.edu\/turyk\/Database\/Development\/MJB\/private\/Thesis\/JournalArticles\/hengl_digital%20demtalk.pdf\">Hengl et al. 2003<\/a>)<\/figcaption><\/figure>\n<p>This data model of quadratic cells can cause problems of <em>direction bias<\/em> or <em>dependence<\/em> in certain raster analyses that consist of computing new parameters based on a raster cell neighbourhood. In the depiction above you can see how flow direction \u2013 an inherently continuous phenomenon! \u2013 is commonly\u00a0<em>discretised<\/em> on a raster DEM surface into 8 directions in a 3&#215;3 raster window. You can read more on problems of direction bias associated to the grid model we are stuck with in our GIS software in <a href=\"http:\/\/dx.doi.org\/10.1016\/j.cageo.2003.07.005\">Zhou and Liu (2004)<\/a>.<\/p>\n<p>While the common raster data model will not change (at least not as long as our screens don&#8217;t abandon the quadratic shape of pixels), I enjoy seeing hexagons used in inspired ways for other purposes. Be it to please our eyes or, even better, to challenge our conventional and long-standing ways of thinking about, and looking at, <em>field model\u00a0<\/em>data, i.e. space-filling, continuously varying data. Hexagon depictions can help to disperse the perception of privileged directions in field model data.<\/p>\n<p>If you, like me, are into unconventional ways of portraying data, you may be interested in this <a href=\"http:\/\/www.gislounge.com\/spatial-unmapped\/\">GIS Lounge article on quasi-maps<\/a>\u00a0and maybe also about <a href=\"http:\/\/www.gislounge.com\/area-cartograms-explored\/\">this article that is more specifically about cartograms<\/a>. Happy reading!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Some months ago I mapped\u00a0Switzerland&#8217;s administrative regions using a hexagonal cartogram. That idea was inspired by pioneering work of the Leicestershire County Council. After consulting with experts in the field \u2013 Leicestershire&#8217;s Alex Lea, Danny Dorling\u00a0of Worldmapper (currently at the University of Oxford) and Adrian Herzog of MAPresso\u00a0fame \u2013 \u00a0I came up with my own &hellip; <a href=\"https:\/\/www.ralphstraumann.ch\/blog\/2013\/10\/hexagons-quasi-maps-and-cartograms\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Hexagons, quasi-maps and cartograms<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":1376,"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,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[8],"tags":[137,52,53,55,150,125],"class_list":["post-1353","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-piece","tag-cartogram","tag-geo","tag-geoprocessing","tag-gis","tag-raster-data","tag-visualization"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/www.ralphstraumann.ch\/blog\/wp-content\/uploads\/2013\/10\/raster_grid_in_DEM_analysis.png","jetpack_shortlink":"https:\/\/wp.me\/p3pPwF-lP","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/posts\/1353","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/comments?post=1353"}],"version-history":[{"count":6,"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/posts\/1353\/revisions"}],"predecessor-version":[{"id":1379,"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/posts\/1353\/revisions\/1379"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/media\/1376"}],"wp:attachment":[{"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/media?parent=1353"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/categories?post=1353"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ralphstraumann.ch\/blog\/wp-json\/wp\/v2\/tags?post=1353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}