{"id":1969672,"date":"2023-06-13T10:56:11","date_gmt":"2023-06-13T17:56:11","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1969672"},"modified":"2023-06-14T23:02:49","modified_gmt":"2023-06-15T06:02:49","slug":"use-h3-hexagons-for-spatial-analysis-in-arcgis-online","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online","title":{"rendered":"Use H3 Hexagons for spatial analysis in ArcGIS Online"},"author":339972,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341],"tags":[42641,770672,770662,23391,769982],"industry":[],"product":[36551],"class_list":["post-1969672","blog","type-blog","status-publish","format-standard","hentry","category-analytics","tag-arcgis-online","tag-generate-tessellations","tag-h3-hexagon","tag-spatial-analytics","tag-whats-new-june-2023","product-arcgis-online"],"acf":{"authors":[{"ID":339972,"user_firstname":"Hannah","user_lastname":"Pye","nickname":"hpye","user_nicename":"hpye","display_name":"Hannah Pye","user_email":"hpye@esri.com","user_url":"","user_registered":"2023-05-30 15:00:38","user_description":"","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/IMG_3010-465x465.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"Learn how to use H3 hexagons for spatial analysis using the Generate Tessellations tool in Map Viewer.","flexible_content":[{"acf_fc_layout":"content","content":"<p><span data-contrast=\"none\">With the June 2023 release of ArcGIS Online, you can now use the <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/arcgis-online\/analyze\/generate-tessellations-mv.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Generate Tessellations<\/span><\/a><span data-contrast=\"none\"> tool to generate H3 hexagons, an open-source, hierarchical spatial indexing system created by Uber in 2018. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h2><span data-contrast=\"none\">Why use hexagons?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"none\">Hexagons are one of the most optimal shapes for spatial analysis due to their tessellation pattern being completely equidistant to all their neighbors (a feature not shared by other common tessellation types, such as triangle or square geometries). Having neighboring polygons equidistant helps to reduce sampling biases that might be observed using other shape types. Hexagons are also less prone to the effects of distortion caused by the curvature of the Earth because of their many sides and obtuse angles. To learn more about the power of the hexagon tessellation in analysis, check out the ArcGIS Pro topic <\/span><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/spatial-statistics\/h-whyhexagons.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Why hexagons?<\/span><\/a><span data-contrast=\"none\"> and <\/span><span data-contrast=\"auto\">blog article <\/span><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/five-minutes-hexagons\/#h3-vs-hexagon\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Got five minutes? Get to know hexagons<\/span><\/a><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h2><span data-contrast=\"none\">Why use H3 hexagons?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"none\">H3 hexagons are an open-source, hierarchical tiling index that generates hexagons at predetermined locations on the globe based on one of sixteen different resolutions. Hierarchal hexagons are sized such that every larger polygon is divided into seven equal-sized smaller hexagons that all have an equal distance to the center of their neighbors, as seen in the image below. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1976002,"id":1976002,"title":"H3_Hex_nested","filename":"H3_Hex_nested.png","filesize":132218,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3_Hex_nested.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/h3_hex_nested","alt":"Hierarchal hexagons at three resolutions that form three flower patterns.","author":"339972","description":"Hierarchal H3 hexagons at three resolutions","caption":"Hierarchal H3 hexagons at three resolutions","name":"h3_hex_nested","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 18:20:46","modified":"2023-06-14 19:37:18","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":599,"height":638,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3_Hex_nested-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3_Hex_nested.png","medium-width":245,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3_Hex_nested.png","medium_large-width":599,"medium_large-height":638,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3_Hex_nested.png","large-width":599,"large-height":638,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3_Hex_nested.png","1536x1536-width":599,"1536x1536-height":638,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3_Hex_nested.png","2048x2048-width":599,"2048x2048-height":638,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3_Hex_nested-437x465.png","card_image-width":437,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3_Hex_nested.png","wide_image-width":599,"wide_image-height":638}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"none\">The largest hexagons that can be created from this tool are resolution 0 and have an average area of 4,357,449.42 km\u00b2<\/span><span data-contrast=\"none\">. The largest resolution, 15, produces the smallest hexagons at approximately 0.895 m\u00b2<\/span><span data-contrast=\"none\">\u00a0in size, as defined by the resolutions on the <\/span><a href=\"https:\/\/h3geo.org\/docs\/core-library\/restable\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"auto\">H3 library documentation<\/span><\/a><span data-contrast=\"none\"> page.\u00a0<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Want to learn more about H3 hexagons? Check out these resources on <\/span><a href=\"https:\/\/www.uber.com\/blog\/h3\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Uber\u2019s Hexagonal Hierarchical Spatial Index<\/span><\/a><span data-contrast=\"auto\"> and the ArcGIS Pro tools that already have H3 hexagons: <\/span><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/business-analyst\/generate-grids-and-hexagons.htm\"><span data-contrast=\"auto\">Generate<\/span><span data-contrast=\"auto\"> Grids and Hexagon<\/span><\/a><span data-contrast=\"auto\"> and <\/span><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/generatetesellation.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Generate Tessellations<\/span><\/a><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">H3 hexagons will always align<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:40,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">One benefit of H3 hexagons is that the tessellations will always align. H3 hexagons are generated at predetermined locations based on their bin resolution. Therefore, tessellations of the same resolution will never overlap. Each tessellation has a GRID_ID field representing its location that is common among any H3 generation software.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h2><span data-contrast=\"none\">Using H3 hexagons in the Generate Tessellations tool<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"none\">To create an H3 hexagon tessellation in ArcGIS Online:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"none\">Open Map Viewer and access the Analysis pane.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"none\">Search for the tool: Generate Tessellations.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"none\">Use the drop-down menu to select <\/span><i><span data-contrast=\"none\">H3 hexagon <\/span><\/i><span data-contrast=\"none\">as the<\/span><b><span data-contrast=\"none\"> Bin shape type.\u00a0<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"none\">Once you select H3 hexagon, a new parameter appears called <\/span><b><span data-contrast=\"none\">H3 bin resolution<\/span><\/b><span data-contrast=\"none\"> where you can pick a resolution value from 0, the largest bins, to 15, the smallest bins.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":1976432,"id":1976432,"title":"GT_Populated_CityBounds","filename":"GT_Populated_CityBounds-e1686773652946.png","filesize":36007,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/gt_populated_citybounds","alt":"ArcGIS Online Map Viewer Generate Tessellation tool with H3 hexagon selected","author":"339972","description":"Generate Tessellations tool ","caption":"Generate Tessellations tool","name":"gt_populated_citybounds","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 18:55:39","modified":"2023-06-14 18:56:52","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":366,"height":616,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946-155x261.png","medium-width":155,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","medium_large-width":366,"medium_large-height":616,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","large-width":366,"large-height":616,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","1536x1536-width":366,"1536x1536-height":616,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","2048x2048-width":366,"2048x2048-height":616,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946-276x465.png","card_image-width":276,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","wide_image-width":366,"wide_image-height":616}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"none\">When you are generating tessellations, you need to define an extent layer. You can do this using one of two options:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"none\">Define an extent using the <strong>extent layer<\/strong> parameter. When you select this option, you can choose to only create tessellations that intersect features in the extent layer.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"none\">Define a processing extent in the <a href=\"https:\/\/doc.arcgis.com\/en\/arcgis-online\/analyze\/environment-settings-mv.htm\" target=\"_blank\" rel=\"noopener\">environment settings<\/a>. The processing extent can be defined by a set of coordinates, the display extent, or a layer.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"none\">It is important to note that H3 hexagons are <\/span><span data-contrast=\"none\">always<\/span><span data-contrast=\"none\"> generated using the World Geodetic System 1984 (WGS84) spatial reference (wkid: 4326). There are two cases where you may get a warning message about your spatial reference:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"none\">If an output coordinate system is set through the <\/span><span data-contrast=\"auto\">environment settings<\/span><span data-contrast=\"none\">, and isn\u2019t WGS84, a warning will be <span class=\"NormalTextRun SCXW191846963 BCX0\">displayed <\/span><span class=\"NormalTextRun SCXW191846963 BCX0\">telling you that your<\/span> <span class=\"NormalTextRun SCXW191846963 BCX0\">output coordinate system will not be used.<\/span><\/span><\/li>\n<li><span data-contrast=\"none\">If your input dataset is in a different spatial reference than WGS84 a warning will be displayed that WGS84 has been applied.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"none\">In both cases, the analysis will run in WGS84 and you don\u2019t need to make any changes.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h2><span style=\"text-decoration: underline\">Example:<\/span><span data-contrast=\"none\"> Analyze urban street-tree density with H3 Hexagon tessellations<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">One of the most common applications for using Generate Tessellations with H3 hexagons is to create a grid of polygons for spatial analysis that have equal size and distances to neighbors, therefore reducing instances of size bias. Size bias is a phenomenon akin to map area bias where larger objects appear as more significant on maps and can express misleading information to viewers without the use of proper data normalization. This example will explore urban street-tree density in Waterloo, Canada, and the differences in summarization between buffered roads and H3 tessellations.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">Add and clean the data<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:40,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">To follow along with this example, sign into ArcGIS Online and add the following data layers from the City of Waterloo to the Map Viewer. They are called Roads, Street Tree Inventory, and City of Waterloo Historical Boundary and can be found by changing the search parameter dropdown to \u2018ArcGIS Online\u2019 and searching for \u2018City of Waterloo\u2019.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1976242,"id":1976242,"title":"Street_Tree_Table","filename":"Street_Tree_Table.png","filesize":30675,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Street_Tree_Table.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/street_tree_table","alt":"Table of street tree data that shows the status of the tree (Existing, Stumped, or to be removed) and tree type (street or cemetery)","author":"339972","description":"Street Tree Inventory attribute table ","caption":"Street Tree Inventory attribute table ","name":"street_tree_table","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 18:37:24","modified":"2023-06-14 18:39:08","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":391,"height":365,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Street_Tree_Table-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Street_Tree_Table.png","medium-width":280,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Street_Tree_Table.png","medium_large-width":391,"medium_large-height":365,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Street_Tree_Table.png","large-width":391,"large-height":365,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Street_Tree_Table.png","1536x1536-width":391,"1536x1536-height":365,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Street_Tree_Table.png","2048x2048-width":391,"2048x2048-height":365,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Street_Tree_Table.png","card_image-width":391,"card_image-height":365,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Street_Tree_Table.png","wide_image-width":391,"wide_image-height":365}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"NormalTextRun SCXW38873435 BCX0\">Upon inspecting the Street Tree Inventory attribute table, <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">it is clear that not<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">all of<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\"> these points will be <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">relevant<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">for a <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">survey on street <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">trees<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">. In the image above, notice that some <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">of the <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">points <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">within this<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">layer <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">to <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">are <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">stump<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">ed<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">, are <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">trees that are planning to be <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">removed, or <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">aren&#8217;t<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">located<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\"> on streets.<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">To <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">remove these trees from analysis, <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">filter the trees<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">layer<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">. <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">T<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">o do this, <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">o<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">pen <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">the Filter pane <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">using the <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">Filter button<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">o<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">n<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">the <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">Settings<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">(light)<\/span> <span class=\"NormalTextRun SCXW38873435 BCX0\">toolbar of <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">the map window<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">, and <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">a<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">dd the following <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">two <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">expressions &#8216;<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">TREE_TYPE is Street&#8217;<\/span>\u00a0<span class=\"NormalTextRun SCXW38873435 BCX0\">and &#8216;<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">STATUS is Existing&#8217; to refine the <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">Street Tree Inventory points layer to only include still<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">&#8211;<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">standing <\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">street trees<\/span><span class=\"NormalTextRun SCXW38873435 BCX0\">.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1976272,"id":1976272,"title":"StreetTree_Filter","filename":"StreetTree_Filter.png","filesize":27758,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/StreetTree_Filter.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/streettree_filter","alt":"Filter pane of the Street Tree Inventory, where two filter expressions have been applied","author":"339972","description":"Filter pane for Street Tree Inventory - Street Trees","caption":"Filter pane for Street Tree Inventory - Street Trees","name":"streettree_filter","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 18:39:46","modified":"2023-06-14 19:39:13","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":431,"height":650,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/StreetTree_Filter-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/StreetTree_Filter.png","medium-width":173,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/StreetTree_Filter.png","medium_large-width":431,"medium_large-height":650,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/StreetTree_Filter.png","large-width":431,"large-height":650,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/StreetTree_Filter.png","1536x1536-width":431,"1536x1536-height":650,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/StreetTree_Filter.png","2048x2048-width":431,"2048x2048-height":650,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/StreetTree_Filter-308x465.png","card_image-width":308,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/StreetTree_Filter.png","wide_image-width":431,"wide_image-height":650}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">Display street tree data using Summarize Nearby<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:40,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">In this section, the Summarize Nearby tool will be used to summarize the trees within 16 meters of roads. This layer will be used again later to compare bias against a layer summarizing tree inventory within H3 hexagon tessellations.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">To create the first polygon, open the Analysis pane and search for the tool <\/span><span data-contrast=\"auto\">Summarize Nearby.<\/span><span data-contrast=\"none\"> Update the parameters as follows:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ol>\n<li><span data-contrast=\"auto\">For <\/span><b><span data-contrast=\"auto\">Input <\/span><\/b><b><span data-contrast=\"auto\">features,<\/span><\/b><span data-contrast=\"auto\"> select the <\/span><i><span data-contrast=\"auto\">Street Tree Inventory \u2013 Street Trees<\/span><\/i><span data-contrast=\"auto\"> point layer.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">For <\/span><b><span data-contrast=\"auto\">Nearby layer,<\/span><\/b><span data-contrast=\"auto\"> select <\/span><i><span data-contrast=\"auto\">Roads.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">For <\/span><b><span data-contrast=\"auto\">Measurement values<\/span><\/b>, type <i><span data-contrast=\"auto\">16<\/span><\/i><span data-contrast=\"auto\"> and click <\/span><b><span data-contrast=\"auto\">Add<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Change <\/span><b><span data-contrast=\"auto\">Units<\/span><\/b><span data-contrast=\"auto\"> to <em>Meters<\/em>.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":1976322,"id":1976322,"title":"SummarizeNearby","filename":"SummarizeNearby.png","filesize":49800,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SummarizeNearby.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/summarizenearby","alt":"Summarize Nearby tool creating 16m buffer around the Roads polygon to summarize street tree points in","author":"339972","description":"Summarize Nearby tool","caption":"Summarize Nearby tool","name":"summarizenearby","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 18:41:40","modified":"2023-06-14 18:43:27","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":343,"height":877,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SummarizeNearby-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SummarizeNearby.png","medium-width":102,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SummarizeNearby.png","medium_large-width":343,"medium_large-height":877,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SummarizeNearby.png","large-width":343,"large-height":877,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SummarizeNearby.png","1536x1536-width":343,"1536x1536-height":877,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SummarizeNearby.png","2048x2048-width":343,"2048x2048-height":877,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SummarizeNearby-182x465.png","card_image-width":182,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SummarizeNearby.png","wide_image-width":343,"wide_image-height":877}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">\u00a0 \u00a0 \u00a0 \u00a05. Click <\/span><b><span data-contrast=\"auto\">Estimate credits<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;335559991&quot;:360}\"><br \/>\n<\/span><span data-contrast=\"auto\">\u00a0 \u00a0 \u00a0 \u00a06. Click <\/span><b><span data-contrast=\"auto\">Run<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;335559991&quot;:360}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The resulting output layer is a polygon that is 16 meters on both sides of the center of the road. Sixteen meters was used to accommodate the widths of the roads in addition to the distance trees are planted from roadways.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">To make the output maps easier to see, the symbology was changed in the following ways:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Basemap: Dark Gray Canvas with the reference layer turned off.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Layer style: Counts and Amounts (color) with a High to Low theme.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Fill color: Green 1, with 100% transparency added to polygons containing zero street trees.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Classification: Manual breaks with six classes.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":1976362,"id":1976362,"title":"Roads_610","filename":"Roads_610.png","filesize":483061,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Roads_610.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/roads_610","alt":"Summarize nearby output of street trees within 16m of roads with dark gray and green symbology.","author":"339972","description":"Number of street trees within 16m of roads","caption":"Number of street trees within 16m of roads","name":"roads_610","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 18:48:19","modified":"2023-06-14 19:39:56","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":906,"height":780,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Roads_610-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Roads_610.png","medium-width":303,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Roads_610.png","medium_large-width":768,"medium_large-height":661,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Roads_610.png","large-width":906,"large-height":780,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Roads_610.png","1536x1536-width":906,"1536x1536-height":780,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Roads_610.png","2048x2048-width":906,"2048x2048-height":780,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Roads_610-540x465.png","card_image-width":540,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Roads_610.png","wide_image-width":906,"wide_image-height":780}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">The output map now shows the road buffers in different shades of green depending on the number of street trees located within the polygon. With darker roads containing more street trees than lighter roads, and streets with no trees appearing transparent.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">Create H3 hexagons using Generate Tessellations and summarize street tree data using Summarize Within<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Next, use the Generate Tessellations tool with the following options:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ol>\n<li><span data-contrast=\"auto\">For <\/span><b><span data-contrast=\"auto\">Bin shape type<\/span><\/b><span data-contrast=\"auto\">, choose <\/span><i><span data-contrast=\"auto\">H3 hexagon.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">For <\/span><b><span data-contrast=\"auto\">H3 bin resolution<\/span><\/b><span data-contrast=\"auto\">, enter <\/span><i><span data-contrast=\"auto\">10.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">For <\/span><b><span data-contrast=\"auto\">Extent layer,<\/span><\/b><span data-contrast=\"auto\"> choose the <\/span><i><span data-contrast=\"auto\">City Boundary (Historical)<\/span><\/i> polygon layer.<span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Check <\/span><b><span data-contrast=\"auto\">Only keep intersecting tessellations.<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":1976432,"id":1976432,"title":"GT_Populated_CityBounds","filename":"GT_Populated_CityBounds-e1686773652946.png","filesize":36007,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/gt_populated_citybounds","alt":"ArcGIS Online Map Viewer Generate Tessellation tool with H3 hexagon selected","author":"339972","description":"Generate Tessellations tool ","caption":"Generate Tessellations tool","name":"gt_populated_citybounds","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 18:55:39","modified":"2023-06-14 18:56:52","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":366,"height":616,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946-155x261.png","medium-width":155,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","medium_large-width":366,"medium_large-height":616,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","large-width":366,"large-height":616,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","1536x1536-width":366,"1536x1536-height":616,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","2048x2048-width":366,"2048x2048-height":616,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946-276x465.png","card_image-width":276,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/GT_Populated_CityBounds-e1686773652946.png","wide_image-width":366,"wide_image-height":616}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">\u00a0 \u00a0 \u00a0 5. Click <\/span><b><span data-contrast=\"auto\">Estimate credits<\/span><\/b><span data-contrast=\"auto\">.\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"><br \/>\n<\/span><span data-contrast=\"auto\">\u00a0 \u00a0 \u00a0 6. Click <\/span><b><span data-contrast=\"auto\">Run<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The following tessellation layer consists of H3 hexagons of bin resolution 10 that intersect the Historic City of Waterloo boundary.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1976502,"id":1976502,"title":"Res10_withTrees","filename":"Res10_withTrees.png","filesize":792372,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Res10_withTrees.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/res10_withtrees","alt":"H3 hexagons over the street tree inventory points","author":"339972","description":"Resolution 10 H3 hexagons over Street Tree Inventory","caption":"Resolution 10 H3 hexagons over Street Tree Inventory","name":"res10_withtrees","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 18:58:36","modified":"2023-06-14 19:40:45","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":961,"height":826,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Res10_withTrees-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Res10_withTrees.png","medium-width":304,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Res10_withTrees.png","medium_large-width":768,"medium_large-height":660,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Res10_withTrees.png","large-width":961,"large-height":826,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Res10_withTrees.png","1536x1536-width":961,"1536x1536-height":826,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Res10_withTrees.png","2048x2048-width":961,"2048x2048-height":826,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Res10_withTrees-541x465.png","card_image-width":541,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/Res10_withTrees.png","wide_image-width":961,"wide_image-height":826}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">Run the Summarize Within tool to analyze the number of street trees residing within each H3 hexagon using the following parameters:\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ol>\n<li><span data-contrast=\"auto\">For <\/span><b><span data-contrast=\"auto\">Input features,<\/span><\/b><span data-contrast=\"auto\"> select <\/span><i><span data-contrast=\"auto\">Street Tree Inventory \u2013 Street Trees.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">For <\/span><b><span data-contrast=\"auto\">Summary polygon layer<\/span><\/b><span data-contrast=\"auto\">, select<\/span><span data-contrast=\"auto\"> the <\/span><i><span data-contrast=\"auto\">H3 hexagons<\/span><\/i><span data-contrast=\"auto\"> tessellation layer.<\/span><\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":1976572,"id":1976572,"title":"SumWithin_Redo","filename":"SumWithin_Redo.png","filesize":55741,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SumWithin_Redo.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/sumwithin_redo","alt":"Summarize within tool populated with street tree inventory and H3 hexagon layers","author":"339972","description":"Summarize within tool","caption":"Summarize within tool","name":"sumwithin_redo","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 19:02:41","modified":"2023-06-14 19:03:29","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":406,"height":870,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SumWithin_Redo-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SumWithin_Redo.png","medium-width":122,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SumWithin_Redo.png","medium_large-width":406,"medium_large-height":870,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SumWithin_Redo.png","large-width":406,"large-height":870,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SumWithin_Redo.png","1536x1536-width":406,"1536x1536-height":870,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SumWithin_Redo.png","2048x2048-width":406,"2048x2048-height":870,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SumWithin_Redo-217x465.png","card_image-width":217,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/SumWithin_Redo.png","wide_image-width":406,"wide_image-height":870}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p style=\"padding-left: 40px\"><span data-contrast=\"auto\">3. Click <\/span><b><span data-contrast=\"auto\">Estimate credits<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"><br \/>\n4. Click <strong>Run.<\/strong><\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1976602,"id":1976602,"title":"H3Hex_610","filename":"H3Hex_610.png","filesize":435825,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_610.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/h3hex_610","alt":"Summarize within output of H3 hexagons colored in darker shades of green depending on how many street tree points are contained.","author":"339972","description":"Street Tree Inventory summarized within H3 hexagons","caption":"Street Tree Inventory summarized within H3 hexagons","name":"h3hex_610","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 19:04:22","modified":"2023-06-14 19:42:12","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":883,"height":793,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_610-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_610.png","medium-width":291,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_610.png","medium_large-width":768,"medium_large-height":690,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_610.png","large-width":883,"large-height":793,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_610.png","1536x1536-width":883,"1536x1536-height":793,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_610.png","2048x2048-width":883,"2048x2048-height":793,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_610-518x465.png","card_image-width":518,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_610.png","wide_image-width":883,"wide_image-height":793}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">Change the symbology of the output to match that of the roads, as described earlier, so that the H3 hexagons appear in five different shades of green depending on how many street trees are located within them. Darker hexagons contain more street trees, lighter hexagons contain fewer trees, and hexagons with no street trees display as transparent.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">Example Conclusion<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Upon first looking at the Summarize Nearby output using road polygons, it appears that the coverage of street trees is much greater across Waterloo when compared to the Summarize Within H3 hexagon map. Roads that appear green are drawn through locations that are represented by transparent hexagons. This is an indication that the road buffer map is incorrectly showing street trees in areas where there are none.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">To showcase these areas, the two summary layers have been added together to the map with the roads Summarize Within layer changed to a solid orange color, to better show the areas where there is no overlap. These exposed lines on the map are areas where street tree density is being misrepresented by the roads buffer layer.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1976612,"id":1976612,"title":"OrangeRoads","filename":"OrangeRoads.png","filesize":455784,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/OrangeRoads.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/use-h3-hexagons-for-spatial-analysis-in-arcgis-online\/orangeroads","alt":"Overlay of H3 hexagon summarize within over an orange version of the roads summarize nearby layer.","author":"339972","description":"Parts of road that do not have street trees","caption":"Parts of road that do not have street trees ","name":"orangeroads","status":"inherit","uploaded_to":1969672,"date":"2023-06-14 19:09:41","modified":"2023-06-15 06:02:15","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":890,"height":786,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/OrangeRoads-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/OrangeRoads.png","medium-width":296,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/OrangeRoads.png","medium_large-width":768,"medium_large-height":678,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/OrangeRoads.png","large-width":890,"large-height":786,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/OrangeRoads.png","1536x1536-width":890,"1536x1536-height":786,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/OrangeRoads.png","2048x2048-width":890,"2048x2048-height":786,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/OrangeRoads-527x465.png","card_image-width":527,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/OrangeRoads.png","wide_image-width":890,"wide_image-height":786}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">This is a form of size bias caused by the road polygons showing the same color throughout the whole length of the street, even though trees are not planted uniformly down them. The H3 hexagon output does a much better job at identifying the areas with a high amount of street trees regardless of the length of the road they are on. Using equal sized hexagons, like H3, removes the bias that using irregularly shaped polygons can introduce.\u00a0 <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h2><span data-contrast=\"none\">Conclusion:<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">You can now use H3 hexagons in the Generate Tessellations tool. Through this article, we have shown how the use of H3 hexagons can reduce instances of size bias which is useful for a variety of spatial analysis at any scale or location. H3 hexagons are one of the many new features that have arrived with the June 2023 release of ArcGIS Online and we hope you try using them in your next project!\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span data-contrast=\"none\">Sources:\u00a0<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Calibri\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Calibri&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">City of Waterloo. (2016). City of Waterloo Historical Boundary [Data file]. Retrieved June 8<\/span><span data-contrast=\"auto\">th<\/span><span data-contrast=\"auto\">, 2023, from <\/span><a href=\"https:\/\/services.arcgis.com\/ZpeBVw5o1kjit7LT\/arcgis\/rest\/services\/CityBoundaryHistorical\/FeatureServer\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">https:\/\/services.arcgis.com\/ZpeBVw5o1kjit7LT\/arcgis\/ rest\/services\/CityBoundaryHistorical\/FeatureServer<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"-\" data-font=\"Calibri\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Calibri&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">City of Waterloo. (2018). Street Tree Inventory [Data file]. Retrieved June 8<\/span><span data-contrast=\"auto\">th<\/span><span data-contrast=\"auto\">, 2023, from <\/span><a href=\"https:\/\/services.arcgis.com\/ZpeBVw5o1kjit7LT\/arcgis\/rest\/services\/Street_Tree_Inventory\/FeatureServer\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">https:\/\/services.arcgis.com\/ZpeBVw5o1kjit7LT\/arcgis\/rest\/ services\/Street_Tree_Inventory\/FeatureServer<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"-\" data-font=\"Calibri\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Calibri&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">City of Waterloo. (2022). Roads [Data file]. Retrieved June 8<\/span><span data-contrast=\"auto\">th<\/span><span data-contrast=\"auto\">, 2023, from <\/span><a href=\"https:\/\/services.arcgis.com\/ZpeBVw5o1kjit7LT\/arcgis\/rest\/services\/Roads\/FeatureServer\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">https:\/\/services.arcgis.com\/ZpeBVw5o1kjit7LT\/arcgis\/ rest\/services\/Roads\/FeatureServer<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n"}],"related_articles":[{"ID":1902372,"post_author":"314022","post_date":"2023-04-17 08:00:48","post_date_gmt":"2023-04-17 15:00:48","post_content":"","post_title":"Use H3 to create multiresolution hexagon grids in ArcGIS Pro 3.1","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"use-h3-to-create-multiresolution-hexagon-grids-in-arcgis-pro-3-1","to_ping":"","pinged":"","post_modified":"2024-01-25 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16:35:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1909932","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_Blog_Card.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/H3Hex_Blog_Banner.png"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Use H3 Hexagons for spatial analysis in ArcGIS Online<\/title>\n<meta name=\"description\" content=\"Learn how to use H3 hexagons for spatial analysis using the Generate Tessellations tool in Map Viewer.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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