{"id":2342,"date":"2019-04-05T12:27:28","date_gmt":"2019-04-04T23:27:28","guid":{"rendered":"http:\/\/blogs.lincoln.ac.nz\/gis\/?p=2342"},"modified":"2023-05-07T00:17:53","modified_gmt":"2023-05-07T00:17:53","slug":"i-can-see-for-miles-and-miles-and-miles","status":"publish","type":"post","link":"https:\/\/blogs.lincoln.ac.nz\/gis\/i-can-see-for-miles-and-miles-and-miles\/","title":{"rendered":"I Can See For Miles and Miles and Miles"},"content":{"rendered":"<p><em>Viewsheds are useful layers that allow us to model visibility of features on the surface of the earth.\u00a0 In this post we look at the effect of the curvature of the earth on these raster layers<\/em><\/p>\n<p>With due homage to The Who, this post goes out to all those who adhere to the crazy idea that we live on a spheroidical planet &#8211; flat earthers need read no further.\u00a0 Well, they&#8217;re welcome to but I suspect it will only lead to lots of\u00a0tears.<\/p>\n<p>We&#8217;ve been talking about viewsheds in the GIS courses recently.\u00a0 I usually focus on the <a href=\"http:\/\/blogs.lincoln.ac.nz\/gis\/data-with-a-view-2\/\" target=\"_blank\" rel=\"noopener noreferrer\">Lyttelton Timeball<\/a> to illustrate this but this time I started with the Auckland Sky Tower:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTower.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2347\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTower.jpg\" alt=\"\" width=\"709\" height=\"400\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTower.jpg 709w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTower-300x169.jpg 300w\" sizes=\"auto, (max-width: 709px) 100vw, 709px\" \/><\/a><\/p>\n<p>At 328 m in height, it&#8217;s the tallest structure in the southern hemisphere.\u00a0 With an observation level at 220 m above ground level,\u00a0it provides a good opportunity to show the effect of the curvature of the earth on viewsheds.<\/p>\n<p>Roughly speaking, when the average person is standing at sea level, looking out to sea, the visible horizon is just under five kilometres away, i.e. that&#8217;s about as far as you can see with the naked eye.\u00a0 The attraction in going up in things like the Sky Tower, or climbing mountains for that matter, is the enhanced view you get, the new perspective on the world.\u00a0 With viewsheds we can determine and map the areas visible from a point (or points) a given distance above the ground.\u00a0 I&#8217;ll use <a href=\"http:\/\/blogs.lincoln.ac.nz\/gis\/a-new-window-on-the-world-arcgis-pro\/\" target=\"_blank\" rel=\"noopener noreferrer\">ArcGIS Pro<\/a> for this post and we&#8217;ll also use two different elevation layers: the 25 m North Island DEM and a 1 m DSM (Digital Surface Model).\u00a0 The difference between a DEM and a DSM is that the former shows us the &#8220;bare earth&#8221; with no trees or buildings, while the DSM does.\u00a0 Let&#8217;s first look at your standard viewshed.<\/p>\n<p>First, we need a point to give us the location of the Sky Tower:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTowerPoint.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2348\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTowerPoint.jpg\" alt=\"\" width=\"1348\" height=\"831\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTowerPoint.jpg 1348w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTowerPoint-300x185.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTowerPoint-1024x631.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/SkyTowerPoint-768x473.jpg 768w\" sizes=\"auto, (max-width: 1348px) 100vw, 1348px\" \/><\/a><\/p>\n<p>To take into account the elevation of the observation deck, I&#8217;ve added a new integer field to my attribute table called OffsetA and added the value of 220 for that point&#8217;s record.\u00a0 Now to the Viewshed tool:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/WithoutCurvature-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2350 size-full alignleft\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/WithoutCurvature-1.jpg\" alt=\"\" width=\"260\" height=\"378\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/WithoutCurvature-1.jpg 260w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/WithoutCurvature-1-206x300.jpg 206w\" sizes=\"auto, (max-width: 260px) 100vw, 260px\" \/><\/a><\/p>\n<p>My input raster is nidem, the 25 m North Island DEM<\/p>\n<p>The input point is my Sky Tower point (I can also use lines as an input &#8211; the line vertices will be used by the tool)<\/p>\n<p>My output is called VS252D<\/p>\n<p>Note the tick box at the bottom &#8211; leaving it unchecked means the curvature of the earth won&#8217;t be taken into account &#8211; the whole of the North Island will be one big flat fish of Maui.<\/p>\n<p>Unlike ArcMap, Pro has a &#8220;Run&#8221; button at the bottom of the tool to get it going &#8211; here&#8217;s the result:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D2D.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-2352 alignleft\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D2D.jpg\" alt=\"\" width=\"536\" height=\"755\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D2D.jpg 536w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D2D-213x300.jpg 213w\" sizes=\"auto, (max-width: 536px) 100vw, 536px\" \/><\/a><\/p>\n<p>So in this image, all the blue areas are visible from the Sky Tower.<\/p>\n<p>Quite expansive!\u00a0 The north slopes of Mounts Taranaki and Ruapehu are visible.\u00a0 For those with keen eyesight, they may even be able to see the Tararuas!<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/tararuas.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2353 alignright\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/tararuas.jpg\" alt=\"\" width=\"169\" height=\"107\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/tararuas.jpg 869w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/tararuas-300x190.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/tararuas-768x485.jpg 768w\" sizes=\"auto, (max-width: 169px) 100vw, 169px\" \/><\/a><\/p>\n<p>I didn&#8217;t include the South Island DEM in this viewshed but I&#8217;d be pretty confident that Mount Cook would also shown in blue as well.<\/p>\n<p>Here&#8217;s another angle on this (with apologies to the flat earthers [<em>ed.\u00a0not really<\/em>]):<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D2D.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2351\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D2D.jpg\" alt=\"\" width=\"1366\" height=\"850\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D2D.jpg 1366w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D2D-300x187.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D2D-1024x637.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D2D-768x478.jpg 768w\" sizes=\"auto, (max-width: 1366px) 100vw, 1366px\" \/><\/a><\/p>\n<p>Now we&#8217;ll rerun the tool with the same inputs but tick the box for earth curvature corrections:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/WithCurvature-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2354\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/WithCurvature-1.jpg\" alt=\"\" width=\"252\" height=\"260\" \/><\/a><\/p>\n<p>We&#8217;ve got a new parameter to deal with here: Refractivity coefficient.\u00a0 This takes into account the effect of visible light being deflected in air &#8211; the default value is 0.13.\u00a0 Clicking Run gets us this:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3D.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2355\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3D.jpg\" alt=\"\" width=\"807\" height=\"679\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3D.jpg 807w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3D-300x252.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3D-768x646.jpg 768w\" sizes=\"auto, (max-width: 807px) 100vw, 807px\" \/><\/a><\/p>\n<p>Here the orangey areas are visible taking into account curvature &#8211; this is the full extent of this layer.\u00a0 The image below shows both viewsheds together:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3DBoth.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2356\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3DBoth.jpg\" alt=\"\" width=\"798\" height=\"819\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3DBoth.jpg 798w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3DBoth-292x300.jpg 292w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/2D3DBoth-768x788.jpg 768w\" sizes=\"auto, (max-width: 798px) 100vw, 798px\" \/><\/a><\/p>\n<p>Here we can see the areas that get cut off due to curvature.\u00a0 And another 3D view:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D3DBoth.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2357\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D3DBoth.jpg\" alt=\"\" width=\"1295\" height=\"799\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D3DBoth.jpg 1295w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D3DBoth-300x185.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D3DBoth-1024x632.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/3D3DBoth-768x474.jpg 768w\" sizes=\"auto, (max-width: 1295px) 100vw, 1295px\" \/><\/a><\/p>\n<p>Quite a difference!\u00a0 In terms of area the flat viewshed covers approximately 2,608 square kilometers while the curvature viewshed is only 872 square kilometers.<\/p>\n<p>One last thing we&#8217;ll do is use a high resolution viewshed.\u00a0 Looking on <a href=\"http:\/\/koordinates.com\" target=\"_blank\" rel=\"noopener noreferrer\">Koordinates.com<\/a>, I found a 1 m DSM for Auckland based on <a href=\"http:\/\/blogs.lincoln.ac.nz\/gis\/lidar-data-thousands-of-tiny-luminous-spheres\/\" target=\"_blank\" rel=\"noopener noreferrer\">LiDAR data<\/a>.\u00a0 This takes into account features on the earth&#8217;s surface like trees, buildings and Lime scooters (okay, it might not pick up a Lime scooter).\u00a0 It&#8217;s quite a big beast so I had to corp it to get it down to a manageable download size &#8211; even still it&#8217;s 3.5 Gb:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/Annotation-2019-04-03-122732-1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2349\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/Annotation-2019-04-03-122732-1.png\" alt=\"\" width=\"1435\" height=\"788\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/Annotation-2019-04-03-122732-1.png 1435w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/Annotation-2019-04-03-122732-1-300x165.png 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/Annotation-2019-04-03-122732-1-1024x562.png 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/Annotation-2019-04-03-122732-1-768x422.png 768w\" sizes=\"auto, (max-width: 1435px) 100vw, 1435px\" \/><\/a><\/p>\n<p>(Side note &#8211; when downloading this, what I got was 2,917 separate DEMs. each roughly 480 m x 525 m, that needed to be merged into a <a href=\"http:\/\/blogs.lincoln.ac.nz\/gis\/keeping-your-feet-dry-with-mosaic-datasets\/\" target=\"_blank\" rel=\"noopener noreferrer\">mosaic dataset<\/a> so I could work with them). On my map it looks like this:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/DSM.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2358\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/DSM.jpg\" alt=\"\" width=\"1273\" height=\"750\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/DSM.jpg 1273w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/DSM-300x177.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/DSM-1024x603.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/DSM-768x452.jpg 768w\" sizes=\"auto, (max-width: 1273px) 100vw, 1273px\" \/><\/a><\/p>\n<p>If we zoom into the CBD and play with the symbology a bit, we get this:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CDBDSM.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2359\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CDBDSM.jpg\" alt=\"\" width=\"1100\" height=\"816\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CDBDSM.jpg 1100w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CDBDSM-300x223.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CDBDSM-1024x760.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CDBDSM-768x570.jpg 768w\" sizes=\"auto, (max-width: 1100px) 100vw, 1100px\" \/><\/a><\/p>\n<p>(I cheated here &#8211; had to do this in ArcMap).\u00a0 We get some very nice detail from this, eh?\u00a0 In the image below I&#8217;ve overlain the viewshed from the Sky Tower in purple with a bit of transparency:<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CBDwithVS.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2361\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CBDwithVS.jpg\" alt=\"\" width=\"1164\" height=\"814\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CBDwithVS.jpg 1164w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CBDwithVS-300x210.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CBDwithVS-1024x716.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/CBDwithVS-768x537.jpg 768w\" sizes=\"auto, (max-width: 1164px) 100vw, 1164px\" \/><\/a><\/p>\n<p>It&#8217;s a bit of a mess but if you look closely you can see the &#8220;shadows&#8221; of areas not visible behind buildings and lots of visibility corridors emanating out from the Sky Tower (blue dot at centre bottom).\u00a0 For such a small area, the curvature of the earth really doesn&#8217;t come in to play, but I hope you can see how when larger areas are considered, it&#8217;s an important thing to take into account.<\/p>\n<p>This post has mainly been about the effect of the curvature of the earth on viewsheds but also gave us a chance to see how using high resolution DSMs can produce more realistic results, especially in urban areas.\u00a0 Now, back to The Who<\/p>\n<p><a href=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/220px-I_can_see_for_miles.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2363\" src=\"https:\/\/d-blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/220px-I_can_see_for_miles.jpg\" alt=\"\" width=\"220\" height=\"220\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/220px-I_can_see_for_miles.jpg 220w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2019\/04\/220px-I_can_see_for_miles-150x150.jpg 150w\" sizes=\"auto, (max-width: 220px) 100vw, 220px\" \/><\/a><\/p>\n<p>C<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Viewsheds are useful layers that allow us to model visibility of features on the surface of the earth.\u00a0 In this post we look at the effect of the curvature of the earth on these raster layers With due homage to The Who, this post goes out to all those who adhere to the crazy idea [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2342","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/posts\/2342","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/comments?post=2342"}],"version-history":[{"count":1,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/posts\/2342\/revisions"}],"predecessor-version":[{"id":3983,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/posts\/2342\/revisions\/3983"}],"wp:attachment":[{"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/media?parent=2342"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/categories?post=2342"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/tags?post=2342"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}