{"id":730652,"date":"2025-01-15T13:57:29","date_gmt":"2025-01-15T21:57:29","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=arcwatch&p=730652"},"modified":"2025-03-24T11:31:35","modified_gmt":"2025-03-24T18:31:35","slug":"join-a-table-to-a-feature-layer-in-arcgis-online","status":"publish","type":"arcwatch","link":"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/join-a-table-to-a-feature-layer-in-arcgis-online","title":{"rendered":"Join a Table to a Feature Layer in ArcGIS Online"},"content":{"rendered":"","protected":false},"author":9862,"featured_media":0,"menu_order":2,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","castos_file_data":"","podmotor_file_id":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[10872],"tags":[163382,241,271],"arcwatch_issues":[491242],"class_list":["post-730652","arcwatch","type-arcwatch","status-publish","format-standard","hentry","category-tutorial","tag-arcgis-online","tag-gis","tag-mapping","arcwatch_issues-january-2025","arcwatch_sections-the-tip"],"acf":{"short_description":"In this tip, learn how to add a .csv file to a map in ArcGIS Online and join it to a feature layer. ","pdf":{"host_remotely":false,"file":"","file_url":""},"flexible_content":[{"acf_fc_layout":"content","content":"For this tip, you\u2019ll learn how to add a\u00a0.csv\u00a0file to a map in\u00a0ArcGIS Online\u00a0and then join it to a feature layer. You\u2019ll learn about the\u00a0Join Features\u00a0tool, including the difference between inner joins and left joins and how to summarize matching records.\r\n\r\nTo get started, you\u2019ll use data stored in a table to display the data on a map. The table shows the number of primary health centers (PHCs) in each state or union territory in India. PHCs are small clinics found across India.\r\n\r\nThe data is nonspatial, so it can\u2019t be shown on a map, but it can be joined to a feature layer that maps the boundaries of states and union territories. This operation will create a new feature layer that shows the number of PHCs across India.\r\n\r\nYou\u2019ll need an ArcGIS Online organizational account with a Publisher, Facilitator, or Administrator role (see options for software access<\/a>).\r\n\r\nStep 1. Add a .csv file to a web map<\/strong>\r\n\r\nFirst, you\u2019ll open a map in\u00a0ArcGIS Online\u00a0and review a feature layer of states and union territories in India. Then you\u2019ll download a\u00a0.csv\u00a0file of PHCs and add it to the map as a table layer.\r\n\r\nClick on this web map link:\u00a0India States and Union Territories<\/a>, then sign in to your ArcGIS Online account if necessary. A map of India appears."},{"acf_fc_layout":"image","image":730662,"image_position":"left","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"On the\u00a0Contents\u00a0(dark) toolbar, click the\u00a0Layers\u00a0button."},{"acf_fc_layout":"image","image":730672,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"The\u00a0Layers\u00a0pane appears. The map has one feature layer\u2014India State Boundaries. Feature layers can have spatial information (in this case, the shapes and locations of the states that are visible on the map) and tabular information (in this case, an attribute table).\r\n\r\nNext, you\u2019ll add a\u00a0.csv\u00a0file as a table layer. Table layers are nonspatial: They only contain tabular information.\r\n\r\nClick on this link\u2014PHCs.csv<\/a>\u2014to download a file that contains information about the number of PHCs in urban and rural areas in India. Make a note of where the file is now stored on your computer.\r\n\r\nIn the\u00a0Layers\u00a0pane, next to\u00a0Add, click the drop-down arrow. Click\u00a0Add layer from file."},{"acf_fc_layout":"image","image":730682,"image_position":"right-center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Drag the\u00a0PHCs.csv\u00a0file to the\u00a0Add Layer\u00a0window. Make sure that \u201cCreate a hosted feature layer and add it to the map\u201d is selected, then click\u00a0Next.\r\n\r\nFive fields are listed. They match the column headers in the\u00a0.csv\u00a0file."},{"acf_fc_layout":"image","image":730692,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Click\u00a0Next.\r\n\r\nThe page that appears gives you the option to define locations for the data using addresses or place names. You will add your data as a nonspatial table layer instead.\r\n\r\nFor\u00a0Location settings, confirm that\u00a0None\u00a0is selected. (You could choose\u00a0Addresses or place names\u00a0and use the\u00a0State \/ UT\u00a0field to geocode your data, but this method would create a point layer. For your map, you need a polygon layer with the states\u2019 boundaries. Learn how to geocode a table in the tutorial\u00a0Convert a list of historic places into a map<\/a>.)"},{"acf_fc_layout":"image","image":730702,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Click\u00a0Next.\r\n\r\nOn the page that appears, in the text box under \u201cTitle,\u201d enter\u00a0\u201cPHCs,\u201d followed by your name or initials (for example,\u00a0PHCs Your Name).\r\n\r\nFor\u00a0Summary, enter \u201cRural and urban primary health centers (PHCs) in each state or union territory in India,\u201d then click\u00a0Create and add to map. The map of India reappears.\r\n\r\nOn the\u00a0Contents\u00a0toolbar, click the\u00a0Tables\u00a0button. The\u00a0PHCs\u00a0table is listed in the\u00a0Tables\u00a0pane."},{"acf_fc_layout":"image","image":730712,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"In the\u00a0Tables\u00a0pane, click\u00a0the PHCs\u00a0line to open the table. Review the table\u2019s contents to confirm that the data was imported correctly. It should have five fields (columns) and 37 records (rows)."},{"acf_fc_layout":"image","image":730722,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Step 2. Join a table to a feature layer<\/strong>\r\n\r\nNext, you will join the table layer to the feature layer using the\u00a0Join Features\u00a0analysis tool. The result will be a new feature layer with the same shapes as the\u00a0India State Boundaries\u00a0layer and the same attributes as both the\u00a0India State Boundaries\u00a0and\u00a0PHCs\u00a0layers.\r\n\r\nYou\u2019ll start by finding a common field shared by both layers. You\u2019ll use this to link the correct rows in the table layer to the correct features in the feature layer.\r\n\r\nClick any orange area on the map. A pop-up appears, listing the layer\u2019s fields. The\u00a0Name\u00a0field contains the name of each state or union territory. This field matches the\u00a0State \/ UT\u00a0field in the\u00a0PHCs\u00a0table."},{"acf_fc_layout":"image","image":730732,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Next, you\u2019ll use the\u00a0Name\u00a0and\u00a0State \/ UT\u00a0fields to join the two layers.\r\n\r\nClose the pop-up and the table.\r\n\r\nNext, you\u2019ll open the\u00a0Join Features\u00a0analysis tool.\r\n\r\nOn the\u00a0Settings\u00a0(light) toolbar, click the\u00a0Analysis\u00a0button. (If you do not see the\u00a0Analysis\u00a0button in Map Viewer, contact your ArcGIS administrator. You may not have the privileges required to perform analysis.)"},{"acf_fc_layout":"image","image":730742,"image_position":"left-center","orientation":"vertical","hyperlink":""},{"acf_fc_layout":"content","content":"In the\u00a0Analysis\u00a0pane, click\u00a0Tools.\r\n\r\nUnder\u00a0Summarize data, click\u00a0Join Features."},{"acf_fc_layout":"image","image":730752,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"For\u00a0Target layer, click\u00a0Layer\u00a0and choose\u00a0India State Boundaries. This is the layer that will receive the joined fields. For\u00a0Join layer, choose\u00a0PHCs. This is the layer that will provide the joined fields."},{"acf_fc_layout":"image","image":730762,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"For\u00a0Join settings, set the following parameters:\r\n
    \r\n \t
  • Ensure that\u00a0Use attribute relationship\u00a0is enabled.<\/li>\r\n \t
  • For\u00a0Target field, choose\u00a0Name.<\/li>\r\n \t
  • For\u00a0Join field, choose\u00a0State \/ UT.<\/li>\r\n<\/ul>"},{"acf_fc_layout":"image","image":730772,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"The join operation will only be able to join records in which the\u00a0Name\u00a0and\u00a0State \/ UT\u00a0attributes match.\r\n\r\nEnsure that the following parameters are set:\r\n
      \r\n \t
    • For\u00a0Join operation, ensure that\u00a0Join one to one\u00a0is selected.<\/li>\r\n \t
    • For\u00a0Multiple matching records, ensure that\u00a0Only keep first matching record is selected.<\/li>\r\n \t
    • For\u00a0Join type, ensure that\u00a0Inner join is selected.<\/li>\r\n<\/ul>"},{"acf_fc_layout":"image","image":730782,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"When\u00a0Join type\u00a0is set to\u00a0Inner join, any features that do not match will be missing from the new layer. This will make it easier to find out whether the join operation was successful.\r\n\r\nFor\u00a0Output name, type\u00a0PHCs Join, followed by your name or initials, then click\u00a0Estimate credits.\r\n\r\nThe join operation will use 0.073 credits. The number of credits is based on the number of features."},{"acf_fc_layout":"image","image":730792,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Click\u00a0Run.\r\n\r\nAt the top of the\u00a0Join Features\u00a0pane, click the\u00a0History\u00a0button. The tool\u2019s status is shown here."},{"acf_fc_layout":"image","image":730802,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"When the tool completes running, the output appears on the map.\r\n\r\nStep 3. Edit the table<\/strong>\r\n\r\nThree features are missing from the map. You\u2019ll review these missing features, then you\u2019ll find these states or union territories in the\u00a0PHCs\u00a0table to learn why they did not join with the feature layer. You\u2019ll edit the table layer to make it match the feature layer so the two can join correctly.\r\n\r\nOn the map, click each orange area to find the name of the state or union territory that did not join. Zoom in if necessary to spot all of them."},{"acf_fc_layout":"image","image":730812,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"There are three missing features: Ladakh,\u00a0NCT of Delhi\u00a0(National Capital Territory of Delhi), and\u00a0Dadra & Nagar Haveli & Daman & Diu\u00a0(on the west coast, near the city of Nashik).\r\n\r\nThese features likely failed to join because they were spelled differently in the two layers.\r\n\r\nClose the pop-up.\r\n\r\nIn the\u00a0Tables\u00a0pane, click\u00a0PHCs\u00a0to open the table, then scroll down to row\u00a034, where the State \/ UT name is labeled Delhi.\r\n\r\nIn the State \/ UT column, the spelling on row 34 needs to change before this record can join successfully. You don\u2019t have editing privileges on the feature layer, so you\u2019ll edit the table layer.\r\n\r\nIn the table, double-click\u00a0Delhi\u00a0and type\u00a0\u201cNCT of Delhi\u201d. Press\u00a0Enter."},{"acf_fc_layout":"image","image":730822,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Rows\u00a032\u00a0and\u00a033\u00a0are the union territories of\u00a0Dadra & Nagar Haveli\u00a0and\u00a0Daman & Diu."},{"acf_fc_layout":"image","image":730832,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"These two union territories were merged in 2020, which explains why there are two records in the table layer and only one in the feature layer.\r\n\r\nIn rows\u00a032\u00a0and\u00a033, in the\u00a0State \/ UT\u00a0column, select the text and change it to read \u201cDadra & Nagar Haveli & Daman & Diu\u201d."},{"acf_fc_layout":"image","image":730842,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"In the joined output, you need the numeric values from rows\u00a032\u00a0and\u00a033\u00a0to be added together to create the new PHC numbers for Dadra & Nagar Haveli & Daman & Diu. The expected new values are 13 (Rural PHCs), 2 (Urban PHCs) and 15 (Total PHCs). There is no need to edit the\u00a0Rural PHCs,\u00a0Urban PHCs, and\u00a0Total PHCs\u00a0fields. The\u00a0Join Features\u00a0tool can summarize them for you.\r\n\r\nOn the table\u2019s header, to the right of\u00a0State \/ UT, click the\u00a0Options\u00a0button and click\u00a0Sort ascending."},{"acf_fc_layout":"image","image":730852,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Scroll through the alphabetized table to look for a row for Ladakh. You will see that this row is missing, as no PHC data is available for Ladakh.\r\n\r\nClose the table.\r\n\r\nStep 4. Run the join again<\/strong>\r\n\r\nNow you\u2019ll run the\u00a0Join Features\u00a0tool again with the edited table layer. You\u2019ll change two of the tool\u2019s parameters\u2014Multiple matching records\u00a0and\u00a0Join type.\r\n\r\nIn the\u00a0History\u00a0pane, next to\u00a0Join Features, click the options button and click\u00a0Open tool."},{"acf_fc_layout":"image","image":730862,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"The\u00a0Join features\u00a0tool reappears. The parameters are already set with the choices you made earlier.\r\n\r\nScroll down the pane. For\u00a0Multiple matching records, choose\u00a0Calculate field statistics.\r\n\r\nThe table layer now has two records that will match to the same feature:\u00a0Dadra & Nagar Haveli & Daman & Diu. Instead of just matching the first record, you want to summarize the numeric values from both records.\r\n\r\nNext, you\u2019ll indicate in the tool which fields to summarize and how.\r\n\r\nFor\u00a0Field statistics, click the\u00a0Field\u00a0button."},{"acf_fc_layout":"image","image":730872,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"In the\u00a0Add field\u00a0window, select all three fields (Rural PHCs,\u00a0Total PHCs, and\u00a0Urban PHCs) and click\u00a0Done.\r\n\r\nThe three fields are added to the\u00a0Join Features\u00a0pane.\r\n\r\nEnsure that on each field card,\u00a0Sum\u00a0is selected."},{"acf_fc_layout":"image","image":730882,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Now that the state names all match, you\u2019ll change the\u00a0Join type. Last time, you only wanted to keep matching records so you could see what was missing. This time, you will keep all records so Ladakh will still appear on the map, even though it has no PHC data.\r\n\r\nScroll down a little more. For\u00a0Join type, choose\u00a0Left join."},{"acf_fc_layout":"image","image":730892,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Under Result layer, for\u00a0Output name, type\u00a0\u201cPHCs per state or union territory\u201d, followed by your name or initials. (The tool will use 0.073 credits, the same number as last time.)\r\n\r\nClick\u00a0Run and wait for the process to complete.\r\n\r\nOn the\u00a0Contents\u00a0toolbar, click the\u00a0Layers\u00a0button.\r\n\r\nIn the\u00a0Layers\u00a0pane, on the\u00a0PHCs Join\u00a0layer, click the\u00a0Options\u00a0button and then click\u00a0Remove."},{"acf_fc_layout":"image","image":730902,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Zoom to and click Dadra & Nagar Haveli & Daman & Diu union territory, north of Mumbai."},{"acf_fc_layout":"image","image":730932,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"In the pop-up, the last three fields show the following values:"},{"acf_fc_layout":"image","image":730912,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"These are the correct values from adding the Dadra & Nagar Haveli and Daman & Diu values together.\r\n\r\nClose the pop-ups and zoom out until you can see all of India.\r\n\r\nStep 5. Style the map with the joined data<\/strong>\r\n\r\nTo finish, you\u2019ll use the joined layer to visualize the PHC numbers on the map.\r\n\r\nOn the\u00a0Settings\u00a0toolbar, click the\u00a0Styles\u00a0button. (If the\u00a0Styles\u00a0button is unavailable, in the\u00a0Layers\u00a0pane, click\u00a0PHCs per state or union territory. The\u00a0Styles\u00a0button is only available when a layer is selected.)\r\n\r\nIn the\u00a0Styles\u00a0pane, click the\u00a0Field\u00a0button."},{"acf_fc_layout":"image","image":730942,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"In the\u00a0Add fields\u00a0window, click\u00a0Sum Rural_PHCs\u00a0and\u00a0Sum Urban_PHCs. Click\u00a0Add.\r\n\r\nFor\u00a0Pick a style, scroll down and click\u00a0Charts and Size."},{"acf_fc_layout":"image","image":730952,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Click\u00a0Done.\r\n\r\nThe data from the\u00a0PHCs.csv\u00a0table is now visualized on the map. With the exceptions of New Delhi and Chandigarh (north of New Delhi), all states and union territories have more rural PHCs than urban ones."},{"acf_fc_layout":"image","image":730962,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"On the\u00a0Content\u00a0toolbar, click\u00a0Save and open. Click\u00a0Save as.\r\n\r\nIn the\u00a0Save map\u00a0window, for\u00a0Title, type\u00a0\u201cPHCs per state or union territory\u201d. For\u00a0Summary, type\u00a0\u201cRural and urban primary health centers (PHCs) in each state or union territory in India\u201d.\r\n\r\nClick\u00a0Save.\r\n\r\nThe analysis history is now saved with the map. Later, you can review the parameters you used each time you ran the\u00a0Join Features\u00a0tool."}],"references":null},"yoast_head":"\nJoin a Table to a Feature Layer in ArcGIS Online<\/title>\n<meta name=\"description\" content=\"In this tip, learn how to add a .csv file to a map in ArcGIS Online and join it to a feature layer.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/join-a-table-to-a-feature-layer-in-arcgis-online\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Join a Table to a Feature Layer in ArcGIS Online\" \/>\n<meta property=\"og:description\" content=\"In this tip, learn how to add a .csv file to a map in ArcGIS Online and join it to a feature layer.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/join-a-table-to-a-feature-layer-in-arcgis-online\" \/>\n<meta property=\"og:site_name\" content=\"Esri\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"article:modified_time\" content=\"2025-03-24T18:31:35+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2025\/01\/0125_Join-a-Table_826x465.jpg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@Esri\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"16 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\n\t \"@context\": \"https:\/\/schema.org\",\n\t \"@graph\": [\n\t {\n\t \"@type\": \"WebPage\",\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/join-a-table-to-a-feature-layer-in-arcgis-online\",\n\t \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/join-a-table-to-a-feature-layer-in-arcgis-online\",\n\t \"name\": \"Join a Table to a Feature Layer in ArcGIS Online\",\n\t \"isPartOf\": {\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#website\"\n\t },\n\t \"datePublished\": \"2025-01-15T21:57:29+00:00\",\n\t \"dateModified\": \"2025-03-24T18:31:35+00:00\",\n\t \"description\": \"In this tip, learn how to add a .csv file to a map in ArcGIS Online and join it to a feature layer.\",\n\t \"breadcrumb\": {\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/join-a-table-to-a-feature-layer-in-arcgis-online#breadcrumb\"\n\t },\n\t \"inLanguage\": \"en-US\",\n\t \"potentialAction\": [\n\t {\n\t \"@type\": \"ReadAction\",\n\t \"target\": [\n\t \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/join-a-table-to-a-feature-layer-in-arcgis-online\"\n\t ]\n\t }\n\t ]\n\t },\n\t {\n\t \"@type\": \"BreadcrumbList\",\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/join-a-table-to-a-feature-layer-in-arcgis-online#breadcrumb\",\n\t \"itemListElement\": [\n\t {\n\t \"@type\": \"ListItem\",\n\t \"position\": 1,\n\t \"name\": \"Home\",\n\t \"item\": \"https:\/\/www.esri.com\/about\/newsroom\"\n\t },\n\t {\n\t \"@type\": \"ListItem\",\n\t \"position\": 2,\n\t \"name\": \"ArcWatch Articles\",\n\t \"item\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\"\n\t },\n\t {\n\t \"@type\": \"ListItem\",\n\t \"position\": 3,\n\t \"name\": \"Join a Table to a Feature Layer in ArcGIS Online\"\n\t }\n\t ]\n\t },\n\t {\n\t \"@type\": \"WebSite\",\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#website\",\n\t \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/\",\n\t \"name\": \"Esri\",\n\t \"description\": \"Esri Newsroom\",\n\t \"potentialAction\": [\n\t {\n\t \"@type\": \"SearchAction\",\n\t \"target\": {\n\t \"@type\": \"EntryPoint\",\n\t \"urlTemplate\": \"https:\/\/www.esri.com\/about\/newsroom\/?s={search_term_string}\"\n\t },\n\t \"query-input\": {\n\t \"@type\": \"PropertyValueSpecification\",\n\t \"valueRequired\": true,\n\t \"valueName\": \"search_term_string\"\n\t }\n\t }\n\t ],\n\t \"inLanguage\": \"en-US\"\n\t },\n\t {\n\t \"@type\": \"Person\",\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/6f5608aea77aae4f1e67ff4c1ed99067\",\n\t \"name\": \"Brian Cooke\",\n\t \"image\": {\n\t \"@type\": \"ImageObject\",\n\t \"inLanguage\": \"en-US\",\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/image\/\",\n\t \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2024\/09\/briancooke.jpg\",\n\t \"contentUrl\": \"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2024\/09\/briancooke.jpg\",\n\t \"caption\": \"Brian Cooke\"\n\t },\n\t \"description\": \"Brian Cooke is a writer and contributing editor for the Esri Publications team. 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