{"id":2252672,"date":"2024-02-29T07:25:24","date_gmt":"2024-02-29T15:25:24","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2252672"},"modified":"2025-08-13T10:14:04","modified_gmt":"2025-08-13T17:14:04","slug":"perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app","title":{"rendered":"Perform suitability analysis using hexagons in ArcGIS Business Analyst Web App"},"author":321952,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,22941],"tags":[31601,773862,23551,25581],"industry":[],"product":[36711,37011],"class_list":["post-2252672","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-mapping","tag-data-science","tag-hexagons","tag-location-analytics","tag-spatial-statistics","product-bus-analyst","product-esri-demographics"],"acf":{"authors":[{"ID":321952,"user_firstname":"Sarah","user_lastname":"David","nickname":"Sarah David","user_nicename":"sdavid","display_name":"S David","user_email":"sdavid@esri.com","user_url":"","user_registered":"2022-11-08 21:39:20","user_description":"S David writes about ArcGIS Business Analyst.","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/309366fd0364e37bfa30f7fe0a0bc5f3f3b2a3c42c1c7f873853e4962506a9e0?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/309366fd0364e37bfa30f7fe0a0bc5f3f3b2a3c42c1c7f873853e4962506a9e0?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"}],"short_description":"Perform an updated suitability analysis using hexagons as a geography option in ArcGIS Business Analyst Web App. ","flexible_content":[{"acf_fc_layout":"content","content":"<p><span data-contrast=\"none\">As part of the February 2024 release, ArcGIS Business Analyst Web App has an updated and redesigned suitability analysis workflow. The suitability analysis workflow identifies and scores sites that meet specific criteria. Enhancements to this workflow include:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Hexagons are now available as a geography option in resolutions 2 through 7 for the United States.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">A set of curated variable lists, including ones by industry, are available for analysis.\u00a0<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"none\">The ability to select from multiple scoring methods to customize how the suitability values are calculated.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"none\">Suitability analysis results are now populated in the new <\/span><b><span data-contrast=\"none\">Results <\/span><\/b><span data-contrast=\"none\">pane, featuring a summary, histogram, bubble chart, and downloadable table.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span class=\"TextRun SCXW59568582 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW59568582 BCX0\">In this <\/span><span class=\"NormalTextRun SCXW59568582 BCX0\">blog article,<\/span> <span class=\"NormalTextRun SCXW59568582 BCX0\">we are performing suitability analysis <\/span><span class=\"NormalTextRun CommentStart SCXW59568582 BCX0\">to update an emergency response plan for <\/span><span class=\"NormalTextRun SCXW59568582 BCX0\">a<\/span><span class=\"NormalTextRun SCXW59568582 BCX0\">n<\/span><span class=\"NormalTextRun SCXW59568582 BCX0\"> emergency services organization in Texas City, Texas<\/span><span class=\"NormalTextRun SCXW59568582 BCX0\">. <\/span> <span class=\"NormalTextRun SCXW59568582 BCX0\">We need to <\/span><span class=\"NormalTextRun SCXW59568582 BCX0\">identify<\/span><span class=\"NormalTextRun SCXW59568582 BCX0\"> which communities are more at-risk so that the emergency services organization can better prepare for the needs in serving or evacuating that community<\/span><span class=\"NormalTextRun SCXW59568582 BCX0\">.\u00a0<\/span><\/span><span class=\"EOP SCXW59568582 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2253092,"id":2253092,"title":"2024-02-23_13-16-42","filename":"2024-02-23_13-16-42.png","filesize":248000,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-16-42.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app\/2024-02-23_13-16-42","alt":"Suitability analysis map layer.","author":"321952","description":"","caption":"","name":"2024-02-23_13-16-42","status":"inherit","uploaded_to":2252672,"date":"2024-02-23 18:18:58","modified":"2024-02-23 18:19:10","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":946,"height":652,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-16-42-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-16-42.png","medium-width":379,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-16-42.png","medium_large-width":768,"medium_large-height":529,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-16-42.png","large-width":946,"large-height":652,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-16-42.png","1536x1536-width":946,"1536x1536-height":652,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-16-42.png","2048x2048-width":946,"2048x2048-height":652,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-16-42-675x465.png","card_image-width":675,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-16-42.png","wide_image-width":946,"wide_image-height":652}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW158486544 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW158486544 BCX0\">For this analysis, we are using hexagons as a geography <\/span><span class=\"NormalTextRun SCXW158486544 BCX0\">option<\/span><span class=\"NormalTextRun SCXW158486544 BCX0\">.<\/span><span class=\"NormalTextRun SCXW158486544 BCX0\"> H<\/span><\/span><span class=\"TextRun SCXW158486544 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW158486544 BCX0\">exagons are now available to Advanced users<\/span><span class=\"NormalTextRun SCXW158486544 BCX0\"> in the color-coded map, smart map search, and suitability analysis workflows<\/span> <span class=\"NormalTextRun SCXW158486544 BCX0\">as part of the February 2024 release. <\/span><\/span><span class=\"TextRun SCXW158486544 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW158486544 BCX0\">Hexagons are used in geographic analysis to visualize the distribution of data on a map, independent of traditional administrative boundaries. The data is aggregated into six-sided polygons, providing an efficient and uniform representation of the data.<\/span><\/span> <span class=\"TextRun SCXW158486544 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW158486544 BCX0\">Hexagons in mapping <\/span><span class=\"NormalTextRun SCXW158486544 BCX0\">are <\/span><span class=\"NormalTextRun SCXW158486544 BCX0\">optimal<\/span><span class=\"NormalTextRun SCXW158486544 BCX0\"> when the analysis considers<\/span><span class=\"NormalTextRun SCXW158486544 BCX0\"> issues of connectivity<\/span><span class=\"NormalTextRun SCXW158486544 BCX0\"> and <\/span><span class=\"NormalTextRun SCXW158486544 BCX0\">proximity<\/span><span class=\"NormalTextRun SCXW158486544 BCX0\"> as<\/span> <span class=\"NormalTextRun SCXW158486544 BCX0\">crucial aspects to understanding the interactions of place-based data<\/span><span class=\"NormalTextRun SCXW158486544 BCX0\">.<\/span><\/span><span class=\"EOP SCXW158486544 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3><span class=\"TextRun SCXW154189767 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW154189767 BCX0\" data-ccp-parastyle=\"heading 2\">Use hexagons as a geography <\/span><span class=\"NormalTextRun SCXW154189767 BCX0\" data-ccp-parastyle=\"heading 2\">option<\/span><span class=\"NormalTextRun SCXW154189767 BCX0\" data-ccp-parastyle=\"heading 2\">.<\/span><\/span><span class=\"EOP SCXW154189767 BCX0\" data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:40,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">To start the suitability analysis, click the <\/span><b><span data-contrast=\"auto\">Geographies or hexagons<\/span><\/b><span data-contrast=\"auto\"> location type. In the <\/span><b><span data-contrast=\"auto\">Analysis extent <\/span><\/b><span data-contrast=\"auto\">search field, type <\/span><span data-contrast=\"auto\">Texas City, Texas<\/span><span data-contrast=\"auto\">. Select the county subdivision result.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Let\u2019s use hexagons in our analysis. Click the <\/span><b><span data-contrast=\"auto\">Hexagons<\/span><\/b><span data-contrast=\"auto\"> tab in the <\/span><b><span data-contrast=\"auto\">Level of detail<\/span><\/b><span data-contrast=\"auto\"> section. Change the hexagon resolution to <\/span><b><span data-contrast=\"auto\">7<\/span><\/b><span data-contrast=\"auto\">. (The size of the hexagons is referred to as the resolution.) This is the smallest hexagon resolution available in Business Analyst Web App. This resolution allows for a more localized visualization of data patterns as each hexagon covers a smaller area. <\/span><span data-contrast=\"none\">To learn more about hexagon resolutions, see <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/community-analyst\/help\/understand-hexagons.htm#ESRI_SECTION1_4179A17C1378403685A12CD43E72A2C3\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Calculations<\/span><\/a><span data-contrast=\"none\">.<\/span><span data-contrast=\"auto\"> Once you have made the hexagon resolution change, click <\/span><b><span data-contrast=\"auto\">Next <\/span><\/b><span data-contrast=\"auto\">to proceed.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2253002,"id":2253002,"title":"2024-02-23_13-04-59","filename":"2024-02-23_13-04-59.png","filesize":371722,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-04-59.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app\/2024-02-23_13-04-59","alt":"Use hexagons as a geography option.","author":"321952","description":"","caption":"","name":"2024-02-23_13-04-59","status":"inherit","uploaded_to":2252672,"date":"2024-02-23 18:11:41","modified":"2024-02-23 18:11:50","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":1921,"height":850,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-04-59-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-04-59.png","medium-width":464,"medium-height":205,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-04-59.png","medium_large-width":768,"medium_large-height":340,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-04-59.png","large-width":1920,"large-height":850,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-04-59-1536x680.png","1536x1536-width":1536,"1536x1536-height":680,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-04-59.png","2048x2048-width":1921,"2048x2048-height":850,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-04-59-826x365.png","card_image-width":826,"card_image-height":365,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-04-59.png","wide_image-width":1920,"wide_image-height":850}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">Select your criteria.<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:40,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">We can use the <\/span><b><span data-contrast=\"none\">Featured lists <\/span><\/b><span data-contrast=\"none\">tab to select from curated variable lists for different industries. Expand the <\/span><b><span data-contrast=\"none\">State and local government <\/span><\/b><span data-contrast=\"none\">variable list, then click <\/span><b><span data-contrast=\"none\">At-risk.\u00a0<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2253012,"id":2253012,"title":"2024-02-23_13-05-18","filename":"2024-02-23_13-05-18.png","filesize":81061,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-18.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app\/2024-02-23_13-05-18","alt":"Variables in the At-risk list.","author":"321952","description":"","caption":"","name":"2024-02-23_13-05-18","status":"inherit","uploaded_to":2252672,"date":"2024-02-23 18:12:12","modified":"2024-02-23 18:12:20","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":823,"height":352,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-18-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-18.png","medium-width":464,"medium-height":198,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-18.png","medium_large-width":768,"medium_large-height":328,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-18.png","large-width":823,"large-height":352,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-18.png","1536x1536-width":823,"1536x1536-height":352,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-18.png","2048x2048-width":823,"2048x2048-height":352,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-18.png","card_image-width":823,"card_image-height":352,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-18.png","wide_image-width":823,"wide_image-height":352}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW245557908 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW245557908 BCX0\">The at-risk variables automatically populate on the map layer and in the <\/span><\/span><span class=\"TextRun SCXW245557908 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW245557908 BCX0\">Results <\/span><\/span><span class=\"TextRun SCXW245557908 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW245557908 BCX0\">pane.<\/span><\/span><span class=\"EOP SCXW245557908 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2253022,"id":2253022,"title":"2024-02-23_13-05-41","filename":"2024-02-23_13-05-41.png","filesize":356607,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-41.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app\/2024-02-23_13-05-41","alt":"Suitability analysis results.","author":"321952","description":"","caption":"","name":"2024-02-23_13-05-41","status":"inherit","uploaded_to":2252672,"date":"2024-02-23 18:12:32","modified":"2024-02-23 18:12:38","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":1532,"height":850,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-41-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-41.png","medium-width":464,"medium-height":257,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-41.png","medium_large-width":768,"medium_large-height":426,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-41.png","large-width":1532,"large-height":850,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-41.png","1536x1536-width":1532,"1536x1536-height":850,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-41.png","2048x2048-width":1532,"2048x2048-height":850,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-41-826x458.png","card_image-width":826,"card_image-height":458,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-05-41.png","wide_image-width":1532,"wide_image-height":850}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">Modify the preset scoring method.<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:40,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">The updated suitability analysis workflow for the February 2024 release now provides you with more control for selecting the scoring methods used in calculations. The suitability scores are calculated in a three-part process: preprocessing, combination, and final score scale.\u00a0<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"Avenir Next LT Pro\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559684&quot;:-1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Preprocessing methods: This step standardizes the criteria to a common scale. This improves the data reliability by making it more consistent and comparable.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"Avenir Next LT Pro\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559684&quot;:-1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Combination methods: This step combines the criteria into a single value.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"Avenir Next LT Pro\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559684&quot;:-1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Final score scale: This step transforms the combined score into meaningful final score values. You can scale the final score from 0 to 1, 0 to 100 or preserve the distribution of the combined values.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2253032,"id":2253032,"title":"2024-02-09_14-21-44","filename":"2024-02-09_14-21-44.png","filesize":63654,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-09_14-21-44.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app\/2024-02-09_14-21-44","alt":"The suitability scores are calculated in a three-part process: preprocessing, combination, and final score scale.","author":"321952","description":"","caption":"","name":"2024-02-09_14-21-44","status":"inherit","uploaded_to":2252672,"date":"2024-02-23 18:12:53","modified":"2024-02-23 18:13:01","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":754,"height":316,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-09_14-21-44-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-09_14-21-44.png","medium-width":464,"medium-height":194,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-09_14-21-44.png","medium_large-width":754,"medium_large-height":316,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-09_14-21-44.png","large-width":754,"large-height":316,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-09_14-21-44.png","1536x1536-width":754,"1536x1536-height":316,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-09_14-21-44.png","2048x2048-width":754,"2048x2048-height":316,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-09_14-21-44.png","card_image-width":754,"card_image-height":316,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-09_14-21-44.png","wide_image-width":754,"wide_image-height":316}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"none\">In Business Analyst Web App, the preprocessing and combination methods are available as common preset processing methods or as custom selections. The preset processing methods are <\/span><b><span data-contrast=\"none\">Combine values (default)<\/span><\/b><span data-contrast=\"none\"> and <\/span><b><span data-contrast=\"none\">Compound differences<\/span><\/b><span data-contrast=\"none\">. If you opt to make custom selections, you choose the preprocessing and combination methods. Preprocessing methods include <\/span><b><span data-contrast=\"none\">Minimum-maximum (default)<\/span><\/b><span data-contrast=\"none\">, <\/span><b><span data-contrast=\"none\">Percentile<\/span><\/b><span data-contrast=\"none\">, <\/span><b><span data-contrast=\"none\">Z-score<\/span><\/b><span data-contrast=\"none\">, and <\/span><b><span data-contrast=\"none\">Raw values<\/span><\/b><span data-contrast=\"none\">. The combination methods include <\/span><b><span data-contrast=\"none\">Sum<\/span><\/b><span data-contrast=\"none\">, <\/span><b><span data-contrast=\"none\">Mean<\/span><\/b><span data-contrast=\"none\">, <\/span><b><span data-contrast=\"none\">Multiply<\/span><\/b><span data-contrast=\"none\">, and <\/span><b><span data-contrast=\"none\">Geometric Mean<\/span><\/b><span data-contrast=\"none\">. To learn more about the scoring method options in suitability analysis, see <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/understand-suitability-analysis.htm#ESRI_SECTION1_9F6D4A3323A14ED5917CF39CBCFB7982\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Calculations<\/span><\/a><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">In addition to choosing the scoring methods, you maintain the capability of modifying the type of influence, threshold range, and weight of criterion. Previous Business Analyst Web App releases were limited to only modifying the criteria in suitability analysis and did not enable you to choose scoring methods.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Let\u2019s modify the preset scoring method used in our suitability analysis.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2253042,"id":2253042,"title":"2024-02-23_13-06-00","filename":"2024-02-23_13-06-00.png","filesize":44058,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-00.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app\/2024-02-23_13-06-00","alt":"Modifying the preset method used.","author":"321952","description":"","caption":"","name":"2024-02-23_13-06-00","status":"inherit","uploaded_to":2252672,"date":"2024-02-23 18:13:08","modified":"2024-02-23 18:13:16","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":363,"height":432,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-00-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-00.png","medium-width":219,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-00.png","medium_large-width":363,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-00.png","large-width":363,"large-height":432,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-00.png","1536x1536-width":363,"1536x1536-height":432,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-00.png","2048x2048-width":363,"2048x2048-height":432,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-00.png","card_image-width":363,"card_image-height":432,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-00.png","wide_image-width":363,"wide_image-height":432}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW209556320 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW209556320 BCX0\">By default, the <\/span><\/span><strong><span class=\"TextRun SCXW209556320 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW209556320 BCX0\">Combine values <\/span><\/span><\/strong><span class=\"TextRun SCXW209556320 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW209556320 BCX0\">method is selected. Instead, click the <\/span><\/span><span class=\"TextRun SCXW209556320 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW209556320 BCX0\"><strong>Compound differences<\/strong> <\/span><\/span><span class=\"TextRun SCXW209556320 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW209556320 BCX0\">present method.<\/span><\/span> <span class=\"TextRun SCXW209556320 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW209556320 BCX0\">The <\/span><\/span><strong><span class=\"TextRun SCXW209556320 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW209556320 BCX0\">Compound differences <\/span><\/span><\/strong><span class=\"TextRun SCXW209556320 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW209556320 BCX0\">preset method is less sensitive to outliers, therefore extremely high or extremely low values do not disproportionately <\/span><span class=\"NormalTextRun SCXW209556320 BCX0\">impact<\/span><span class=\"NormalTextRun SCXW209556320 BCX0\"> the overall site score.<\/span><\/span><span class=\"EOP SCXW209556320 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">Modify the final score scale.<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:40,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">The final score scale is automatically set to score the sites from <strong>0 to 1<\/strong>. Let\u2019s change the <\/span><b><span data-contrast=\"none\">Final score scale <\/span><\/b><span data-contrast=\"none\">to <strong>0 to 100<\/strong>. This provides a broader score range that the emergency services department can use to understand the levels of risk for the community.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2253052,"id":2253052,"title":"2024-02-23_13-06-12","filename":"2024-02-23_13-06-12.png","filesize":4239,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-12.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app\/2024-02-23_13-06-12","alt":"Final score scale options.","author":"321952","description":"","caption":"","name":"2024-02-23_13-06-12","status":"inherit","uploaded_to":2252672,"date":"2024-02-23 18:13:25","modified":"2024-02-23 18:13:32","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":70,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-12-213x70.png","thumbnail-width":213,"thumbnail-height":70,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-12.png","medium-width":366,"medium-height":70,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-12.png","medium_large-width":366,"medium_large-height":70,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-12.png","large-width":366,"large-height":70,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-12.png","1536x1536-width":366,"1536x1536-height":70,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-12.png","2048x2048-width":366,"2048x2048-height":70,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-12.png","card_image-width":366,"card_image-height":70,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-12.png","wide_image-width":366,"wide_image-height":70}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">Explore the results.<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:40,&quot;335559739&quot;:0}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Now that we&#8217;ve ranked the hexagons, we can see which communities are most at-risk in Texas City. A high suitability score indicates a high at-risk score, which is color-coded red on the map. Hover over a red site on the map and view the pop-up with the criterion value and score.\u00a0<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2253062,"id":2253062,"title":"2024-02-23_13-06-51","filename":"2024-02-23_13-06-51.png","filesize":244456,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-51.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app\/2024-02-23_13-06-51","alt":"Suitability analysis site pop-up.","author":"321952","description":"","caption":"","name":"2024-02-23_13-06-51","status":"inherit","uploaded_to":2252672,"date":"2024-02-23 18:13:43","modified":"2024-02-23 18:13:51","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":1146,"height":595,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-51-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-51.png","medium-width":464,"medium-height":241,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-51.png","medium_large-width":768,"medium_large-height":399,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-51.png","large-width":1146,"large-height":595,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-51.png","1536x1536-width":1146,"1536x1536-height":595,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-51.png","2048x2048-width":1146,"2048x2048-height":595,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-51-826x429.png","card_image-width":826,"card_image-height":429,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-06-51.png","wide_image-width":1146,"wide_image-height":595}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"none\">For more detailed information on the results, explore the new <\/span><b><span data-contrast=\"none\">Results<\/span><\/b><span data-contrast=\"none\"> pane. The <\/span><b><span data-contrast=\"none\">Results <\/span><\/b><span data-contrast=\"none\">pane has four tabs, including:<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">The <\/span><b><span data-contrast=\"none\">Summary<\/span><\/b><span data-contrast=\"none\"> tab has an overview of the top five ranking sites.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">The <\/span><b><span data-contrast=\"none\">Histogram <\/span><\/b><span data-contrast=\"none\">tab visualizes the suitability analysis results. You can change the variable visualized by clicking the <\/span><b><span data-contrast=\"none\">Variable <\/span><\/b><span data-contrast=\"none\">drop-down menu.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"none\">The <\/span><b><span data-contrast=\"none\">Bubble chart <\/span><\/b><span data-contrast=\"none\">tab visualizes the suitability analysis as a bubble chart or scatterplot. The variables used to create the chart can be modified in the <\/span><b><span data-contrast=\"none\">Chart settings <\/span><\/b><span data-contrast=\"none\">section.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"none\">The <\/span><b><span data-contrast=\"none\">Table<\/span><\/b><span data-contrast=\"none\"> tab features the tabular version of the results.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2253082,"id":2253082,"title":"2024-02-23_13-15-32","filename":"2024-02-23_13-15-32.gif","filesize":2207088,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-15-32.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/perform-suitability-analysis-using-hexagons-in-arcgis-business-analyst-web-app\/2024-02-23_13-15-32","alt":"Gif of the suitability analysis Results pane.","author":"321952","description":"","caption":"","name":"2024-02-23_13-15-32","status":"inherit","uploaded_to":2252672,"date":"2024-02-23 18:16:16","modified":"2024-02-23 18:18:47","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1280,"height":720,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-15-32-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-15-32.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-15-32.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-15-32.gif","large-width":1280,"large-height":720,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-15-32.gif","1536x1536-width":1280,"1536x1536-height":720,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-15-32.gif","2048x2048-width":1280,"2048x2048-height":720,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-15-32-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/2024-02-23_13-15-32.gif","wide_image-width":1280,"wide_image-height":720}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW119544262 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW119544262 BCX0\">When <\/span><span class=\"NormalTextRun SCXW119544262 BCX0\">we\u2019re<\/span><span class=\"NormalTextRun SCXW119544262 BCX0\"> done performing our suitability analysis,<\/span> <span class=\"NormalTextRun SCXW119544262 BCX0\">click <\/span><\/span><span class=\"TextRun SCXW119544262 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW119544262 BCX0\">Save layer<\/span><\/span><span class=\"TextRun SCXW119544262 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW119544262 BCX0\"> to store it in our project for future use.<\/span> <span class=\"NormalTextRun SCXW119544262 BCX0\">This information can be used by the emergency services organization to update their response plan by <\/span><span class=\"NormalTextRun SCXW119544262 BCX0\">identifying<\/span><span class=\"NormalTextRun SCXW119544262 BCX0\"> which specific communities <\/span><span class=\"NormalTextRun SCXW119544262 BCX0\">in Texas City <\/span><span class=\"NormalTextRun SCXW119544262 BCX0\">are most at-risk<\/span><span class=\"NormalTextRun SCXW119544262 BCX0\"> and therefore need greater care in emergencies<\/span><span class=\"NormalTextRun SCXW119544262 BCX0\">.<\/span><\/span><span class=\"EOP SCXW119544262 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"sidebar","content":"<h3><span data-contrast=\"none\">Learn more about suitability analysis and hexagons.<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:40,&quot;335559739&quot;:0,&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">To learn more about suitability analysis in Business Analyst Web App, see:<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/suitability-analysis.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Perform a suitability analysis<\/span><\/a><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/understand-suitability-analysis.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Suitability analysis reference<\/span><\/a><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/understand-the-results-pane.htm#ESRI_SECTION1_061A7E35647A4298BB59CB1FBABF100D\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Suitability analysis Results pane<\/span><\/a><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">To learn more about hexagons in Business Analyst Web App, see:<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"5\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/understand-hexagons.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Hexagons reference<\/span><\/a><span data-ccp-props=\"{&quot;469777462&quot;:[3084],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"5\" data-aria-level=\"1\"><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/five-minutes-hexagons\/\" target=\"_blank\" rel=\"noopener\">Got 5 minutes? Get to know hexagons<\/a><\/li>\n<\/ul>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false}],"related_articles":[{"ID":2243422,"post_author":"290952","post_date":"2024-02-29 06:00:46","post_date_gmt":"2024-02-29 14:00:46","post_content":"","post_title":"What's new in ArcGIS Business Analyst Web App | February 2024","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-business-analyst-web-app-february-2024","to_ping":"","pinged":"","post_modified":"2025-08-13 11:33:47","post_modified_gmt":"2025-08-13 18:33:47","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2243422","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1905222,"post_author":"78361","post_date":"2025-07-31 15:00:48","post_date_gmt":"2025-07-31 22:00:48","post_content":"","post_title":"Got five minutes? Get to know hexagons","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"five-minutes-hexagons","to_ping":"","pinged":"","post_modified":"2026-01-09 13:12:36","post_modified_gmt":"2026-01-09 21:12:36","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1905222","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"5","filter":"raw"},{"ID":2077952,"post_author":"4121","post_date":"2023-12-19 11:57:11","post_date_gmt":"2023-12-19 19:57:11","post_content":"","post_title":"Great (ArcGIS) Idea! Grids and hexagons centroids in Business Analyst Pro","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"great-idea-grids-and-hexagons-centroids-business-analyst-pro","to_ping":"","pinged":"","post_modified":"2023-12-19 11:57:11","post_modified_gmt":"2023-12-19 19:57:11","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2077952","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/Untitled-design-2.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/02\/Untitled-design.png","show_article_image":false},"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>Perform suitability analysis using hexagons in ArcGIS Business 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