"},{"ID":358272,"user_firstname":"Halle","user_lastname":"Martinucci","nickname":"Halle Martinucci","user_nicename":"hmartinucci","display_name":"Halle Martinucci","user_email":"hmartinucci@esri.com","user_url":"","user_registered":"2024-06-18 18:43:42","user_description":"Halle is an Associate Product Marketing Manager on Esri\u2019s Spatial Analytics & Data Science team.","user_avatar":"
"}],"short_description":"The ArcGIS GeoAnalytics Engine 1.6 release introduces enhancements that allow users to boost their spatial analysis efficiency for big data.","flexible_content":[{"acf_fc_layout":"content","content":"In the\u00a0ArcGIS GeoAnalytics Engine\u00a0<\/a>1.6 release (June 2025) we have several exciting performance and usability improvements to enhance your big data spatial analysis workflows. This latest release includes updates to the Find co-traveler tool, the ability to write polygon and linestrings in vector tiles, expanded Scala API support, and improved performance for spatial joins and plotting. \u00a0These improvements make it easier and faster to bring Esri\u2019s industry-leading geospatial analytics capabilities directly to your big data \u2013 in a data lake, data warehouse, or ArcGIS.<\/p>\n Let\u2019s take a look at the new features.<\/p>\n"},{"acf_fc_layout":"content","content":" Enable Tool Functionality with Scala API<\/em><\/strong><\/p>\n The ArcGIS GeoAnalytics Engine 1.6 release includes the addition of a\u00a0Scala API\u00a0for all\u00a0tools<\/a>\u00a0in GeoAnalytics Engine. Users can now drive analysis tools using either Python or Scala syntax while utilizing the same underlying implementation. This complements the existing Scala API for SQL<\/a> and track (TRK)<\/a> functions.<\/p>\n"},{"acf_fc_layout":"content","content":" Efficiently Identify Location with New SQL and Track Functions<\/em><\/strong><\/p>\n The 1.6 release introduces two new SQL functions: ST_LineInterpolatePoint<\/a> and ST_LineLocatePoint<\/a>.\u00a0 These functions improve user ability to identify locations at fractional distances along linestrings. For instance, these functions can be used to identify the point that is 20% of the way along a linestring.<\/p>\n Additionally, SQL and Track (TRK) functions have been enhanced to make it easier to specify distance or duration parameters using ST_CreateDistance<\/a> and ST_CreateDuration<\/a> functions. This tool allows us to customize the distance and units for each row of data. For example, we can set unique distance requirements to define the \u201carea of interest\u201d based on location or attribute. In this example, we can also specify the distance using different units for each row in the dataset, such as miles or kilometers.<\/p>\n <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2796812,"id":2796812,"title":"distance_parameters_buffer","filename":"distance_parameters_buffer.jpg","filesize":71810,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/distance_parameters_buffer.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/analytics\/analytics\/whats-new-in-arcgis-geoanalytics-engine-1-6\/distance_parameters_buffer","alt":"Example of using ST_CreateDistance with a buffer calculation","author":"342532","description":"","caption":"","name":"distance_parameters_buffer","status":"inherit","uploaded_to":2796802,"date":"2025-05-17 00:44:53","modified":"2025-05-17 00:53:11","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":971,"height":370,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/distance_parameters_buffer-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/distance_parameters_buffer.jpg","medium-width":464,"medium-height":177,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/distance_parameters_buffer.jpg","medium_large-width":768,"medium_large-height":293,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/distance_parameters_buffer.jpg","large-width":971,"large-height":370,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/distance_parameters_buffer.jpg","1536x1536-width":971,"1536x1536-height":370,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/distance_parameters_buffer.jpg","2048x2048-width":971,"2048x2048-height":370,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/distance_parameters_buffer-826x315.jpg","card_image-width":826,"card_image-height":315,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/distance_parameters_buffer.jpg","wide_image-width":971,"wide_image-height":370}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" Identify Relationships Using Co-Travelers Group Mode<\/em><\/strong><\/p>\n The 1.6 release introduces enhancements to the\u00a0Find Co-travelers<\/a>\u00a0tool to enable finding groups of two or more entities co-traveling together for defined amounts of time. This is useful for uncovering relationships between individuals or groups. For instance, it can be used to identify vehicles or individuals travelling together, for crime analysis, or to uncover potential suspects that met up along routes for exchange of goods.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2796822,"id":2796822,"title":"cotravel_example5","filename":"cotravel_example5.png","filesize":42530,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/cotravel_example5.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/analytics\/analytics\/whats-new-in-arcgis-geoanalytics-engine-1-6\/cotravel_example5","alt":"Example of group co-travel","author":"342532","description":"","caption":"","name":"cotravel_example5","status":"inherit","uploaded_to":2796802,"date":"2025-05-17 00:46:18","modified":"2025-05-17 00:53:37","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":995,"height":503,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/cotravel_example5-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/cotravel_example5.png","medium-width":464,"medium-height":235,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/cotravel_example5.png","medium_large-width":768,"medium_large-height":388,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/cotravel_example5.png","large-width":995,"large-height":503,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/cotravel_example5.png","1536x1536-width":995,"1536x1536-height":503,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/cotravel_example5.png","2048x2048-width":995,"2048x2048-height":503,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/cotravel_example5-826x418.png","card_image-width":826,"card_image-height":418,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/cotravel_example5.png","wide_image-width":995,"wide_image-height":503}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" Write Polygons and Linestrings to Vector Tiles<\/em><\/strong><\/p>\n Users can now write polygon and linestring geometries to vector tiles<\/a> in addition to points. This allows for hosting and fast visualization of spatial data, no matter the geometry type. For example, aggregating point observations into high-resolution H3 bins and quickly host and visualize the bins in a web map.<\/p>\n"},{"acf_fc_layout":"content","content":" Analyze and Visualize Results More Performantly<\/em><\/strong><\/p>\n The 1.6 release of ArcGIS GeoAnalytics Engine also includes improvements to spatial join performance, as well as a new quantization option for faster plotting of geometries to aid in visualizing intermediate results of your analysis.<\/p>\n"},{"acf_fc_layout":"content","content":" ArcGIS GeoAnalytics Engine is updated two to three times each year to provide new features so you can make spatial analytics a seamless part of your data science workflows. We\u2019re always looking to hear from you about the capabilities you need to enhance your big data workflows!<\/p>\n For more information on the latest features, check out the\u00a0product release notes<\/a>\u00a0or stop by the\u00a0GeoAnalytics Engine Community Site\u00a0<\/a>for resources on getting started, tips and tricks with various tools, and much more!<\/p>\n"}],"related_articles":"","show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/GAE-1.6-card.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/GAE-1.6-wide.png"},"yoast_head":"\n