{"id":2872462,"date":"2025-07-01T10:24:01","date_gmt":"2025-07-01T17:24:01","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2872462"},"modified":"2025-09-17T10:29:38","modified_gmt":"2025-09-17T17:29:38","slug":"map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app","title":{"rendered":"Map grocery stores to analyze food deserts using point data aggregation 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],"tags":[780052],"industry":[],"product":[36711,37011],"class_list":["post-2872462","blog","type-blog","status-publish","format-standard","hentry","category-analytics","tag-arcgis-data","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":"In the June 2025 release, Business Analyst Web App has a new capability in the POI search workflow: point data aggregation.","flexible_content":[{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">As part of the June 2025 release, ArcGIS Business Analyst Web App has a new capability in the <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/points-of-interest-search.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">points of interest (POI) search workflow:<\/span><\/a><span data-contrast=\"auto\"> point data aggregation.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The POI search workflow queries point data, also known as place data, to plot locations on a map. For example, use the POI search workflow to map hospitals in Colorado. Each hospital location is a point added to the map. <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">It can be difficult to understand patterns in the data from only looking at points on the map. The new point data aggregation capability summarizes points to standard geographies, hexagons, or sites. In the image below, the hospital locations are summarized from pins to color-coded polygons representing counties. Counties with a higher number of hospitals are shaded red while counties with a lower number of hospitals are shaded pale yellow. The patterns in the distribution of the count of hospitals are clearly illustrated using color-coded county polygons.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2872472,"id":2872472,"title":"2025-05-08_10-03-25","filename":"2025-05-08_10-03-25.png","filesize":111964,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-05-08_10-03-25.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-05-08_10-03-25","alt":"Compare a map of points of interest to aggregated points of interest.","author":"321952","description":"","caption":"","name":"2025-05-08_10-03-25","status":"inherit","uploaded_to":2872462,"date":"2025-07-01 17:02:33","modified":"2025-07-01 17:02:40","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":801,"height":258,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-05-08_10-03-25-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-05-08_10-03-25.png","medium-width":464,"medium-height":149,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-05-08_10-03-25.png","medium_large-width":768,"medium_large-height":247,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-05-08_10-03-25.png","large-width":801,"large-height":258,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-05-08_10-03-25.png","1536x1536-width":801,"1536x1536-height":258,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-05-08_10-03-25.png","2048x2048-width":801,"2048x2048-height":258,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-05-08_10-03-25.png","card_image-width":801,"card_image-height":258,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-05-08_10-03-25.png","wide_image-width":801,"wide_image-height":258}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">To define the point data aggregation, do the following:<\/span><span data-ccp-props=\"{}\">\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;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=\"auto\">Select a geography (like sites, standard geographies, or hexagons) and choose a level of detail.<\/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;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=\"auto\">Choose an attribute like the number of points, employee count, or sales volume.<\/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;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=\"auto\">Depending on the attribute, select the calculation type like count, average, sum, minimum, or maximum.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">In this blog article, we\u2019ll use POI search to map grocery stores in Phoenix, Arizona, to assess where there may be food deserts. Food deserts are areas where typically low-income and vulnerable populations have inadequate access to affordable groceries. Using the POI layer, we\u2019ll enable aggregation to visualize the point layer as color-coded block groups. At first, we&#8217;ll analyze the count of grocery stores for each block group to see the patterns of store distribution. Then we&#8217;ll analyze the maximum sales volume of grocery stores to see which locations have the highest sales revenue and may inform where food deserts exist.<\/span><\/p>\n<p><span data-contrast=\"none\">First, make sure that the <\/span><b><span data-contrast=\"none\">Esri 2025 <\/span><\/b><span data-contrast=\"none\">data source is set.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2872482,"id":2872482,"title":"2025-06-04_16-07-30","filename":"2025-06-04_16-07-30.png","filesize":3883,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-04_16-07-30.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-06-04_16-07-30","alt":"Use the Esri 2025 data source.","author":"321952","description":"","caption":"","name":"2025-06-04_16-07-30","status":"inherit","uploaded_to":2872462,"date":"2025-07-01 17:03:32","modified":"2025-07-01 17:03:37","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":252,"height":46,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-04_16-07-30-213x46.png","thumbnail-width":213,"thumbnail-height":46,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-04_16-07-30.png","medium-width":252,"medium-height":46,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-04_16-07-30.png","medium_large-width":252,"medium_large-height":46,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-04_16-07-30.png","large-width":252,"large-height":46,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-04_16-07-30.png","1536x1536-width":252,"1536x1536-height":46,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-04_16-07-30.png","2048x2048-width":252,"2048x2048-height":46,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-04_16-07-30.png","card_image-width":252,"card_image-height":46,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-04_16-07-30.png","wide_image-width":252,"wide_image-height":46}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW159363912 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW159363912 BCX0\">To start the workflow, click <\/span><\/span><strong><span class=\"TextRun SCXW159363912 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW159363912 BCX0\">Create maps <\/span><\/span><\/strong><span class=\"TextRun SCXW159363912 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW159363912 BCX0\">and select <\/span><\/span><strong><span class=\"TextRun SCXW159363912 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW159363912 BCX0\">Points of interest (POI) search<\/span><\/span><\/strong><span class=\"TextRun SCXW159363912 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW159363912 BCX0\">.<\/span><\/span><span class=\"EOP SCXW159363912 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2872492,"id":2872492,"title":"2025-06-16_09-55-30","filename":"2025-06-16_09-55-30.png","filesize":57867,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-55-30.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-06-16_09-55-30","alt":"Start the workflow by clicking Points of interest (POI) search.","author":"321952","description":"","caption":"","name":"2025-06-16_09-55-30","status":"inherit","uploaded_to":2872462,"date":"2025-07-01 17:04:21","modified":"2025-07-01 17:04:28","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":782,"height":365,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-55-30-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-55-30.png","medium-width":464,"medium-height":217,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-55-30.png","medium_large-width":768,"medium_large-height":358,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-55-30.png","large-width":782,"large-height":365,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-55-30.png","1536x1536-width":782,"1536x1536-height":365,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-55-30.png","2048x2048-width":782,"2048x2048-height":365,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-55-30.png","card_image-width":782,"card_image-height":365,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-55-30.png","wide_image-width":782,"wide_image-height":365}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">Set the area of interest<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">For this analysis, let\u2019s set the area of interest to Phoenix, Arizona. The city of Phoenix created the <\/span><a href=\"https:\/\/www.phoenix.gov\/administration\/departments\/sustainability\/2050-sustainability-goals\/2050-local-food-goals.html#:~:text=In%20Phoenix%2C%20there%20are%2043,and%20reduce%20diet%2Drelated%20diseases.\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">2050 Local Food Goals<\/span><\/a><span data-contrast=\"auto\"> to address the limited community access to healthy food. There is a known issue of food inaccessibility, with 43 identified food deserts in the area. We can create a map of grocery stores to identify exactly which block groups have critically unmet food needs.<\/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;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"sidebar","content":"<p><span class=\"TextRun SCXW164343721 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW164343721 BCX0\">If <\/span><span class=\"NormalTextRun SCXW164343721 BCX0\">you<\/span><span class=\"NormalTextRun SCXW164343721 BCX0\">\u2019re<\/span><span class=\"NormalTextRun SCXW164343721 BCX0\"> familiar with mapping and analysis workflows in Business Analyst Web App, <\/span><span class=\"NormalTextRun SCXW164343721 BCX0\">you<\/span><span class=\"NormalTextRun SCXW164343721 BCX0\"> may be used to starting workflows by setting the analysis extent. In the June 2025 release, the analysis extent <\/span><span class=\"NormalTextRun SCXW164343721 BCX0\">field <\/span><span class=\"NormalTextRun SCXW164343721 BCX0\">has been renamed the area of interest.\u00a0<\/span><\/span><span class=\"EOP SCXW164343721 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW78080599 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW78080599 BCX0\">Click the <\/span><\/span><strong><span class=\"TextRun SCXW78080599 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW78080599 BCX0\">Geography <\/span><\/span><\/strong><span class=\"TextRun SCXW78080599 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW78080599 BCX0\">section to <\/span><span class=\"NormalTextRun SCXW78080599 BCX0\">expand it<\/span><span class=\"NormalTextRun SCXW78080599 BCX0\"> and e<\/span><span class=\"NormalTextRun SCXW78080599 BCX0\">nter <\/span><\/span><span style=\"text-decoration: underline\"><span class=\"TextRun Underlined SCXW78080599 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW78080599 BCX0\">Phoenix<\/span><\/span><\/span><span class=\"TextRun SCXW78080599 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW78080599 BCX0\"> into the search field.<\/span><span class=\"NormalTextRun SCXW78080599 BCX0\"> Select the <\/span><\/span><span class=\"TextRun SCXW78080599 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><strong><span class=\"NormalTextRun SCXW78080599 BCX0\">Phoenix City, AZ (Pla<\/span><\/strong><span class=\"NormalTextRun SCXW78080599 BCX0\"><strong>ce)<\/strong> <\/span><\/span><span class=\"TextRun SCXW78080599 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW78080599 BCX0\">re<\/span><span class=\"NormalTextRun SCXW78080599 BCX0\">sult<\/span><span class=\"NormalTextRun SCXW78080599 BCX0\">.<\/span><\/span><span class=\"EOP SCXW78080599 BCX0\" 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;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2872502,"id":2872502,"title":"2025-06-16_09-57-12","filename":"2025-06-16_09-57-12.png","filesize":27257,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-57-12.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-06-16_09-57-12","alt":"Set the area of interest to Phoenix, Arizona.","author":"321952","description":"","caption":"","name":"2025-06-16_09-57-12","status":"inherit","uploaded_to":2872462,"date":"2025-07-01 17:05:16","modified":"2025-07-01 17:05:22","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":385,"height":426,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-57-12-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-57-12.png","medium-width":236,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-57-12.png","medium_large-width":385,"medium_large-height":426,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-57-12.png","large-width":385,"large-height":426,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-57-12.png","1536x1536-width":385,"1536x1536-height":426,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-57-12.png","2048x2048-width":385,"2048x2048-height":426,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-57-12.png","card_image-width":385,"card_image-height":426,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_09-57-12.png","wide_image-width":385,"wide_image-height":426}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">Perform a search<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Let\u2019s search for grocery stores. Make sure that the POI data source is using <strong>Data Axle<\/strong>. To start the search, click the <\/span><b><span data-contrast=\"auto\">Enter keyword, category, etc. <\/span><\/b><span data-contrast=\"auto\">field and click the <strong>Category <\/strong>tab.\u00a0 Check the <strong>Food &amp; Grocery Stores <\/strong>category to add it to the query and<\/span><span data-contrast=\"auto\"> p<\/span><span data-contrast=\"auto\">ress Enter to perform the search.\u00a0 <\/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;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2873922,"id":2873922,"title":"2025-07-01_14-06-54","filename":"2025-07-01_14-06-54.png","filesize":65643,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-06-54.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-07-01_14-06-54","alt":"Perform the search.","author":"321952","description":"","caption":"","name":"2025-07-01_14-06-54","status":"inherit","uploaded_to":2872462,"date":"2025-07-02 13:26:20","modified":"2025-07-02 13:26:39","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":647,"height":750,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-06-54-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-06-54.png","medium-width":225,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-06-54.png","medium_large-width":647,"medium_large-height":750,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-06-54.png","large-width":647,"large-height":750,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-06-54.png","1536x1536-width":647,"1536x1536-height":750,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-06-54.png","2048x2048-width":647,"2048x2048-height":750,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-06-54-401x465.png","card_image-width":401,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-06-54.png","wide_image-width":647,"wide_image-height":750}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW116497893 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW116497893 BCX0\">T<\/span><span class=\"NormalTextRun SCXW116497893 BCX0\">he results automatically <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW116497893 BCX0\">populate on<\/span><span class=\"NormalTextRun SCXW116497893 BCX0\"> the map <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW116497893 BCX0\">and in<\/span><span class=\"NormalTextRun SCXW116497893 BCX0\"> the <\/span><\/span><strong><span class=\"TextRun SCXW116497893 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW116497893 BCX0\">Results<\/span><\/span><\/strong><span class=\"TextRun SCXW116497893 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW116497893 BCX0\"> pane.\u00a0<\/span><\/span><span class=\"EOP SCXW116497893 BCX0\" 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;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2873932,"id":2873932,"title":"2025-07-01_14-07-07","filename":"2025-07-01_14-07-07.png","filesize":224950,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-07-07.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-07-01_14-07-07","alt":"The results are displayed in the map and in the Results pane.","author":"321952","description":"","caption":"","name":"2025-07-01_14-07-07","status":"inherit","uploaded_to":2872462,"date":"2025-07-02 13:28:28","modified":"2025-07-02 13:28:35","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":1870,"height":772,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-07-07-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-07-07.png","medium-width":464,"medium-height":192,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-07-07.png","medium_large-width":768,"medium_large-height":317,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-07-07.png","large-width":1870,"large-height":772,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-07-07-1536x634.png","1536x1536-width":1536,"1536x1536-height":634,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-07-07.png","2048x2048-width":1870,"2048x2048-height":772,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-07-07-826x341.png","card_image-width":826,"card_image-height":341,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-07-07.png","wide_image-width":1870,"wide_image-height":772}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">Explore the Results pane<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">The <\/span><b><span data-contrast=\"auto\">Results <\/span><\/b><span data-contrast=\"auto\">pane includes a summary, histogram, and table. On the <\/span><b><span data-contrast=\"auto\">Summary <\/span><\/b><span data-contrast=\"auto\">tab, there is an overview of all point locations for the area of interest.\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">Enable aggregation<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">To see the patterns in where grocery stores are distributed, use the new point data aggregation capability. In the <\/span><b><span data-contrast=\"auto\">Point data aggregation <\/span><\/b><span data-contrast=\"auto\">section, turn the <\/span><b><span data-contrast=\"auto\">Aggregate point data <\/span><\/b><span data-contrast=\"auto\">toggle button on.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2872542,"id":2872542,"title":"2025-06-16_10-05-22","filename":"2025-06-16_10-05-22.png","filesize":14668,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-05-22.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-06-16_10-05-22","alt":"Enable point data aggregation.","author":"321952","description":"","caption":"","name":"2025-06-16_10-05-22","status":"inherit","uploaded_to":2872462,"date":"2025-07-01 17:08:18","modified":"2025-07-01 17:08:21","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":367,"height":125,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-05-22-213x125.png","thumbnail-width":213,"thumbnail-height":125,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-05-22.png","medium-width":367,"medium-height":125,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-05-22.png","medium_large-width":367,"medium_large-height":125,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-05-22.png","large-width":367,"large-height":125,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-05-22.png","1536x1536-width":367,"1536x1536-height":125,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-05-22.png","2048x2048-width":367,"2048x2048-height":125,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-05-22.png","card_image-width":367,"card_image-height":125,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-05-22.png","wide_image-width":367,"wide_image-height":125}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW168107555 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW168107555 BCX0\">Aggregation summarizes point data into sites, geographies, or hexagons. <\/span><span class=\"NormalTextRun SCXW168107555 BCX0\">Let\u2019s<\/span><span class=\"NormalTextRun SCXW168107555 BCX0\"> use standard geographies with block groups as the level of detail<\/span><span class=\"NormalTextRun SCXW168107555 BCX0\"> with the default calculation, <\/span><\/span><strong><span class=\"TextRun SCXW168107555 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW168107555 BCX0\">Number of points<\/span><\/span><\/strong><span class=\"TextRun SCXW168107555 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW168107555 BCX0\">. In this case, the number of points is the number of grocery stores in each block group. The results are populated on the map and in the<\/span><\/span><strong><span class=\"TextRun SCXW168107555 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW168107555 BCX0\"> Results<\/span><\/span><\/strong><span class=\"TextRun SCXW168107555 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW168107555 BCX0\"> pane.<\/span><\/span><span class=\"EOP SCXW168107555 BCX0\" data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2873942,"id":2873942,"title":"2025-07-01_14-08-23","filename":"2025-07-01_14-08-23.png","filesize":262844,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-08-23.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-07-01_14-08-23","alt":"The results are updated using point data aggregation.","author":"321952","description":"","caption":"","name":"2025-07-01_14-08-23","status":"inherit","uploaded_to":2872462,"date":"2025-07-02 13:29:27","modified":"2025-07-02 13:29:35","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":1868,"height":778,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-08-23-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-08-23.png","medium-width":464,"medium-height":193,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-08-23.png","medium_large-width":768,"medium_large-height":320,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-08-23.png","large-width":1868,"large-height":778,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-08-23-1536x640.png","1536x1536-width":1536,"1536x1536-height":640,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-08-23.png","2048x2048-width":1868,"2048x2048-height":778,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-08-23-826x344.png","card_image-width":826,"card_image-height":344,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-08-23.png","wide_image-width":1868,"wide_image-height":778}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">The color-coding on the map indicates the number of grocery stores for each block group. For example, dark orange indicates a higher number of grocery stores and pale yellow indicates a lower number of grocery stores. This shows patterns in where the businesses are distributed. <\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The areas with dark orange block groups, signifying the highest amount of grocery stores, surround Phoenix Sky Harbor International Airport and Phoenix-Deer Valley Airport. Typically, airports are not located in densely populated areas. To assess this assumption, run a color-coded dot density map of population density. The areas with dark orange polygons, indicating high numbers of grocery stores, do not necessarily overlap with areas of high population density (indicated by many dots). <\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2873952,"id":2873952,"title":"2025-07-01_14-09-10","filename":"2025-07-01_14-09-10.png","filesize":439286,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-09-10.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-07-01_14-09-10","alt":"Assess if areas with a high number of grocery stores have a dense population.","author":"321952","description":"","caption":"","name":"2025-07-01_14-09-10","status":"inherit","uploaded_to":2872462,"date":"2025-07-02 13:31:01","modified":"2025-07-02 13:31:07","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":800,"height":665,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-09-10-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-09-10.png","medium-width":314,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-09-10.png","medium_large-width":768,"medium_large-height":638,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-09-10.png","large-width":800,"large-height":665,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-09-10.png","1536x1536-width":800,"1536x1536-height":665,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-09-10.png","2048x2048-width":800,"2048x2048-height":665,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-09-10-559x465.png","card_image-width":559,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-09-10.png","wide_image-width":800,"wide_image-height":665}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">Returning to the point data aggregation results, explore the <\/span><b><span data-contrast=\"auto\">Results <\/span><\/b><span data-contrast=\"auto\">pane for detailed information, including the following:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&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=\"auto\">The <\/span><b><span data-contrast=\"auto\">Summary <\/span><\/b><span data-contrast=\"auto\">tab shows a summary of the results, including the total number of block groups, the average number of grocery stores per block group, and the top five and bottom five block groups.<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&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=\"auto\">The <\/span><b><span data-contrast=\"auto\">Histogram <\/span><\/b><span data-contrast=\"auto\">tab shows a histogram of the results. This data visualization shows that there are more block groups with a low number of grocery stores compared to the number of block groups with a high number of grocery stores.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&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=\"auto\">The <\/span><b><span data-contrast=\"auto\">Table<\/span><\/b><span data-contrast=\"auto\"> tab lists the block group and the number of points within that block group. Individual points are not listed in the table when aggregation is enabled.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2873972,"id":2873972,"title":"2025-07-02_09-31-50","filename":"2025-07-02_09-31-50.gif","filesize":715736,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-02_09-31-50.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-07-02_09-31-50","alt":"Explore the point data aggregation results.","author":"321952","description":"","caption":"","name":"2025-07-02_09-31-50","status":"inherit","uploaded_to":2872462,"date":"2025-07-02 13:31:59","modified":"2025-07-02 13:32:04","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\/2025\/07\/2025-07-02_09-31-50-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-02_09-31-50.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-02_09-31-50.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-02_09-31-50.gif","large-width":1280,"large-height":720,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-02_09-31-50.gif","1536x1536-width":1280,"1536x1536-height":720,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-02_09-31-50.gif","2048x2048-width":1280,"2048x2048-height":720,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-02_09-31-50-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-02_09-31-50.gif","wide_image-width":1280,"wide_image-height":720}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">Aggregation uses calculations to summarize the point data. By default, our map color-codes each block group to represent the number of grocery stores within that area. We can customize the calculation by choosing an attribute and calculation type. <\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">Change the aggregation calculation<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Let\u2019s change the aggregation calculation to use the maximum sales volume, which shows the highest revenue for a location in an area. Click the <\/span><b><span data-contrast=\"auto\">Calculation <\/span><\/b><span data-contrast=\"auto\">drop-down menu. For the<\/span><b><span data-contrast=\"auto\"> Sales Volume<\/span><\/b><span data-contrast=\"auto\"> attribute, select <\/span><b><span data-contrast=\"auto\">Maximum<\/span><\/b><span data-contrast=\"auto\"> for the calculation type.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2872582,"id":2872582,"title":"2025-06-16_10-10-06","filename":"2025-06-16_10-10-06.png","filesize":39038,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-10-06.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-06-16_10-10-06","alt":"Change the aggregation calculation to use the maximum sales volume.","author":"321952","description":"","caption":"","name":"2025-06-16_10-10-06","status":"inherit","uploaded_to":2872462,"date":"2025-07-01 17:10:27","modified":"2025-07-01 17:10:31","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":520,"height":383,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-10-06-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-10-06.png","medium-width":354,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-10-06.png","medium_large-width":520,"medium_large-height":383,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-10-06.png","large-width":520,"large-height":383,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-10-06.png","1536x1536-width":520,"1536x1536-height":383,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-10-06.png","2048x2048-width":520,"2048x2048-height":383,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-10-06.png","card_image-width":520,"card_image-height":383,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-06-16_10-10-06.png","wide_image-width":520,"wide_image-height":383}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW221665993 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW221665993 BCX0\">The map and <\/span><\/span><span class=\"TextRun SCXW221665993 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW221665993 BCX0\"><strong>Results<\/strong> <\/span><\/span><span class=\"TextRun SCXW221665993 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW221665993 BCX0\">pane automatically <\/span><span class=\"NormalTextRun SCXW221665993 BCX0\">update<\/span><span class=\"NormalTextRun SCXW221665993 BCX0\">. <\/span><span class=\"NormalTextRun SCXW221665993 BCX0\">Now each block group is color-coded to <\/span><span class=\"NormalTextRun SCXW221665993 BCX0\">represent<\/span><span class=\"NormalTextRun SCXW221665993 BCX0\"> the maximum sales volume of a store within that block group. This can be <\/span><span class=\"NormalTextRun SCXW221665993 BCX0\">used t<\/span><span class=\"NormalTextRun SCXW221665993 BCX0\">o understand how block groups compare to one another in terms of maximum sales volume, which may inform where food deserts exist. If a block group has a store with an extremely high maximum sales revenue, that store could be over-performing because there is a lack of competition in the area and potentially inadequate food access for neighboring residents.<\/span><\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2873982,"id":2873982,"title":"2025-07-01_14-11-00","filename":"2025-07-01_14-11-00.png","filesize":265180,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-11-00.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/analytics\/map-grocery-stores-to-analyze-food-deserts-using-point-data-aggregation-in-arcgis-business-analyst-web-app\/2025-07-01_14-11-00","alt":"The results update using maximum sales volume for the aggregation calculation.","author":"321952","description":"","caption":"","name":"2025-07-01_14-11-00","status":"inherit","uploaded_to":2872462,"date":"2025-07-02 13:33:02","modified":"2025-07-02 13:33:09","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":1871,"height":800,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-11-00-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-11-00.png","medium-width":464,"medium-height":198,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-11-00.png","medium_large-width":768,"medium_large-height":328,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-11-00.png","large-width":1871,"large-height":800,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-11-00-1536x657.png","1536x1536-width":1536,"1536x1536-height":657,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-11-00.png","2048x2048-width":1871,"2048x2048-height":800,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-11-00-826x353.png","card_image-width":826,"card_image-height":353,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/07\/2025-07-01_14-11-00.png","wide_image-width":1871,"wide_image-height":800}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">This example has shown how we can enable aggregation to summarize the locations of grocery stores in Phoenix, Arizona, using the number of grocery stores and maximum sales volume. To analyze whether vulnerable communities have adequate access to grocery stores, we could create a bivariate color-coded map of population density and poverty and assess if any highly populated vulnerable block groups are served with enough affordable grocery options.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">Conclusion<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">This blog article describes using the new point data aggregation capability in the points of interest search workflow. We welcome your feedback! Please use the feedback option at the bottom of this blog article or post on Esri Community.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"sidebar","content":"<h3><span data-contrast=\"none\">Resources<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Learn more about the POI search workflow in the following help documentation:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&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=\"auto\">To read the help documentation about the workflow, see <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/points-of-interest-search.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Map points of interest.<\/span><\/a><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&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=\"auto\">To learn about the underlying calculations used to aggregate point data, see <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/understand-aggregation.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Point data a<\/span><span data-contrast=\"none\">ggregation reference<\/span><\/a><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&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=\"auto\">To learn about the calculations in the <\/span><b><span data-contrast=\"auto\">Results<\/span><\/b><span data-contrast=\"auto\"> pane, see <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/understand-the-results-pane.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Results pane reference<\/span><\/a><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/points-of-interest-search.htm\"><span data-contrast=\"none\">.<\/span><\/a><span data-ccp-props=\"{}\">\u00a0<\/span><\/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":2853062,"post_author":"341682","post_date":"2025-06-26 09:46:31","post_date_gmt":"2025-06-26 16:46:31","post_content":"","post_title":"What's new in ArcGIS Business Analyst Web App June 2025","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-business-analyst-web-app-june-2025","to_ping":"","pinged":"","post_modified":"2025-07-21 15:03:19","post_modified_gmt":"2025-07-21 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