For both options, you\u2019ll need to be either the owner of the layer or a portal administrator, and the results need to be saved to the spatiotemporal data store.<\/p>\n
The following Python notebook shows how to complete this workflow. You can access and modify this Python notebook for your own needs here<\/a>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":279692,"id":279692,"title":"Jupyter Notebook and GeoAnalytics","filename":"PortalScreenShot_Notebook.png","filesize":42174,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/07\/PortalScreenShot_Notebook.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/analytics\/data-aggregation-using-geoanalytics-server\/portalscreenshot_notebook","alt":"Running GeoAnalytics analysis using a Jupyter Notebook","author":"8132","description":"Running GeoAnalytics analysis using a Jupyter Notebook. This notebook copies a layer using GeoAnalytics, and creates a Map Image Layer that aggregates points into hexagons on the fly. ","caption":"Running GeoAnalytics analysis using a Jupyter Notebook","name":"portalscreenshot_notebook","status":"inherit","uploaded_to":270772,"date":"2018-07-16 21:14:59","modified":"2018-07-16 21:16:41","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":500,"height":434,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/07\/PortalScreenShot_Notebook.png","thumbnail-width":213,"thumbnail-height":185,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/07\/PortalScreenShot_Notebook.png","medium-width":301,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/07\/PortalScreenShot_Notebook.png","medium_large-width":500,"medium_large-height":434,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/07\/PortalScreenShot_Notebook.png","large-width":500,"large-height":434,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/07\/PortalScreenShot_Notebook.png","1536x1536-width":500,"1536x1536-height":434,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/07\/PortalScreenShot_Notebook.png","2048x2048-width":500,"2048x2048-height":434,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/07\/PortalScreenShot_Notebook.png","card_image-width":500,"card_image-height":434,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/07\/PortalScreenShot_Notebook.png","wide_image-width":500,"wide_image-height":434}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"To complete this using the REST API, complete the following steps.<\/p>\n
\n- \n
\n- Run a GeoAnalytics tool through the ArcGIS Server REST API. In the context parameter, add the following:
{\"defaultAggregationStyles\":true}<\/code><\/li>\n- When the tool runs, go to the resulting feature service endpoint. The URL will look something like this: https:\/\/my_machine_name.domain.com\/server\/rest\/services\/Hosted\/MyFeatureService\/FeatureServer<\/a> . You\u2019ll need admin access to perform the next step, so change the URL by adding
\/admin\/<\/code> to \/server\/rest\/services<\/code> as such: \/server\/rest\/admin\/services<\/code>.<\/li>\n- The option to Generate Map Service<\/strong> is now available at that endpoint. Click
Generate Map Service Definition<\/code>, then click generateMapServiceDefinition<\/code> and copy the JSON output. It should be pretty long.<\/li>\n- You\u2019ll now need to log in to the portal sharing API and go to the following endpoint (with your own domain, of course): https:\/\/ my_machine_name.gpportal.esri.com\/portal\/sharing\/rest\/content\/users\/admin\/publish. Fill in the Publish Item form with the following information:\n
\n- Item Id:\u00a0<\/strong>This is the item ID of the feature service in your portal. You can get this by opening the item in the portal and copying the ID from the URL.<\/li>\n
- Type:<\/strong> Feature Service<\/li>\n
- Publish Parameters:<\/strong> Copy in the JSON from step 3<\/li>\n
- OutputType:<\/strong> bdsMapService<\/li>\n<\/ul>\n<\/li>\n
- Hit
publish<\/code>!<\/li>\n<\/ol>\n<\/li>\n<\/ol>\nYou will now have a new item in your portal Content <\/strong>page that is a Map Image Layer. Open it up in the Map Viewer, zoom, explore, and start understanding that huge dataset!<\/p>\n"}],"authors":[{"ID":8132,"user_firstname":"Sarah","user_lastname":"Ambrose","nickname":"SAmbrose","user_nicename":"sambrose","display_name":"Sarah Ambrose","user_email":"SAmbrose@esri.com","user_url":"","user_registered":"2018-06-27 23:43:49","user_description":"Sarah is a product engineer on the GeoAnalytics team.","user_avatar":"
"}],"related_articles":[{"ID":82061,"post_author":"7431","post_date":"2018-01-22 09:00:56","post_date_gmt":"2018-01-22 09:00:56","post_content":"","post_title":"What\u2019s new in ArcGIS Enterprise 10.6: Geocode Locations from Table in ArcGIS GeoAnalytics Server","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-enterprise-10-6-geocode-locations-from-table-in-arcgis-geoanalytics-server","to_ping":"","pinged":"","post_modified":"2024-01-25 14:01:50","post_modified_gmt":"2024-01-25 22:01:50","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/whats-new-in-arcgis-enterprise-10-6-geocode-locations-from-table-in-arcgis-geoanalytics-server\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":123471,"post_author":"7431","post_date":"2018-03-20 05:30:37","post_date_gmt":"2018-03-20 05:30:37","post_content":"This year's Esri Developer Summit was the biggest one yet. Crucial conference highlights\u00a0include:\u00a0the giant outdoor carnival full of games and food and fun, and\u00a0the opportunity to talk with\u00a0visitors\u00a0to\u00a0the\u00a0GeoAnalytics showcase.\u00a0Getting to hear your questions, comments and\u00a0use\u00a0cases\u00a0is always exciting and inspiring.\u00a0In case you weren't there, our team has\u00a0compiled the most frequently asked questions here in hopes of answering yours!\n\n \u201cWhat is ArcGIS GeoAnalytics Server?\u201d<\/strong>\n\nGeoAnalytics Server<\/a> is\u00a0a licensing role for one or more ArcGIS Server machines used for the analysis of large volumes of vector and tabular data. What\u2019s unique about these analysis servers is that they can distribute processing across multiple machines and cores. This means that when your datasets become too large to be processed on a single machine or core, GeoAnalytics can step in to speed up that process. Jobs that may have taken months, weeks, or days can take hours or minutes with GeoAnalytics.\n\n\"I see that the ArcGIS Enterprise portal's Map Viewer has both Standard Tools and GeoAnalytics Tools. What are the differences, and when would I use one or the other?\u201d<\/strong>\n\nStandard tools are available by default in ArcGIS Enterprise and perform feature analysis using your hosting server. These tools are useful when you are processing average-sized data. GeoAnalytics Tools, however, process data in parallel on your GeoAnalytics Server, and are specialized to process larger amounts of data more quickly. Both toolsets contain some similar tools, like Aggregate Points, Join Features, and Find Hot Spots, but GeoAnalytics\u2019 extra edge is that it provides tools to track trends, patterns and anomalies in both space and time.\n\nLearn more about standard analysis and GeoAnalytics Tools<\/a>\n\n\u201cGeoAnalytics, GeoEvent, Insights, and analysis in ArcGIS Pro: How does it all work together?\"<\/strong>\n\nGeoAnalytics, GeoEvent Server<\/a>, and Insights for ArcGIS<\/a> complement each other, but also work well in isolation. GeoEvent is used to ingest real-time stream data from sources like sensors and GPS measurements. GeoEvent exposes ingested data as feature layers, which can optionally be explored further in Insights or processed using GeoAnalytics Tools. Insights provides a data workbench experience for your data, allowing you to explore, iterate on and share your findings via charts, graphs and maps. Insights can take advantage of different analysis engines, so while you are using your Insights workbook, your analysis may be powered by Insights, standard analysis tools, or even GeoAnalytics Tools, depending on the configuration of ArcGIS Enterprise.\n\n\u201cI have a huge dataset, and it\u2019s not drawing quickly. I want to draw a zillion points, how do I do that?\u201d<\/strong>\n\nWell, you may not want to. Why? Because visualizing millions and trillions of features on their own isn\u2019t informative. Instead, consider using GeoAnalytics to visualize big data patterns by aggregating and summarizing trends. This allows you to explore and find patterns that would otherwise go unseen amid your many features. For example, below are millions of\u2026.can you tell? Exactly \u2014\u00a0it\u2019s hard to see anything with that many points. These are taxi pickup locations in New York City (Do not try this at home!)\n\n![\"NYC](\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/gax_devsummit.gif\")
<\/a>\n\n\u201cAm I able to automate GeoAnalytics workflows? Does it work with the Jupyter Notebooks I\u2019ve been hearing so much about?\u201d<\/strong>\n\nYes, and yes! The ArcGIS Python API can be used to automate and execute workflows. For those of you who are fans of Jupyter Notebooks, GeoAnalytics Tools can be executed there, too! Additionally, GeoAnalytics Tools can be used with Model Builder in ArcGIS Pro and in ArcPy. If REST is your preferred tool execution method (props to you!) then you can run the tools through the REST API.\n\n\u201cThat all sounds great. Now,\u00a0how do I install it? Is GeoAnalytics an extension or a separate install?\u201d<\/strong>\n\nGeoAnalytics is a server role within ArcGIS Enterprise, not an extension. It builds off of the ArcGIS Enterprise base deployment. First, install ArcGIS Server and license it for GeoAnalytics, then federate your GeoAnalytics site with your Enterprise portal. You\u2019ll need to also install and configure the ArcGIS Data Store (spatiotemporal big data), used as an output for your results. Once your environment is all set up, you can start crunching some data!\n\nHopefully this was useful in answering your questions. Which features are you excited about? Are you currently using GeoAnalytics? Let us know in the comments below!","post_title":"ArcGIS GeoAnalytics Server: DevSummit 2018 FAQs!","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"arcgis-geoanalytics-server-devsummit-2018-faqs","to_ping":"","pinged":"","post_modified":"2018-06-22 17:06:09","post_modified_gmt":"2018-06-22 17:06:09","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/arcgis-geoanalytics-server-devsummit-2018-faqs\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":78501,"post_author":"6831","post_date":"2017-07-18 12:41:20","post_date_gmt":"2017-07-18 12:41:20","post_content":"","post_title":"A Fix for the Create Space Time Cube Tool in GeoAnalytics Server","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-fix-for-the-create-space-time-cube-tool-in-geoanalytics-server","to_ping":"","pinged":"","post_modified":"2018-03-26 21:13:56","post_modified_gmt":"2018-03-26 21:13:56","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/a-fix-for-the-create-space-time-cube-tool-in-geoanalytics-server\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/card.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/enterprise_blog_banner2.png"},"yoast_head":"\nVisualize aggregated data in ArcGIS GeoAnalytics Server 10.6.1<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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