{"id":2985165,"date":"2026-10-20T07:16:08","date_gmt":"2026-10-20T14:16:08","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2985165"},"modified":"2026-10-20T07:16:08","modified_gmt":"2026-10-20T14:16:08","slug":"analyze-map-pane-part-two","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/analyze-map-pane-part-two","title":{"rendered":"Evaluating Your Map’s Drawing Performance: A Case Study"},"author":360352,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22941],"tags":[781265,42181,781175,30321],"industry":[],"product":[36581,36561],"class_list":["post-2985165","blog","type-blog","status-publish","format-standard","hentry","category-mapping","tag-analyze-map","tag-arcgis-pro","tag-draw-metrics","tag-performance","product-arcgis-living-atlas","product-arcgis-pro"],"acf":{"authors":[{"ID":9702,"user_firstname":"Gregory","user_lastname":"Lehner","nickname":"Greg Lehner","user_nicename":"glehner","display_name":"Greg Lehner","user_email":"GLehner@esri.com","user_url":"","user_registered":"2019-06-28 20:00:31","user_description":"Greg is a Sr. Product Engineer who's been mapping his way around Esri and ArcGIS Pro for over a decade. With experience in cartography, symbology, and data visualization, he's bound to finish that World Atlas project eventually.","user_avatar":""},{"ID":360352,"user_firstname":"Lauren","user_lastname":"Tierney","nickname":"Lauren Tierney","user_nicename":"ltierney","display_name":"Lauren Tierney","user_email":"ltierney@esri.com","user_url":"http:\/\/laurenctierney.com","user_registered":"2024-08-19 13:31:34","user_description":"Lauren Tierney is the Senior Product Manager of Mapping and Cartography at Esri. Before joining Esri in 2024 she was a Senior Graphics Reporter at The Washington Post, as well as a Graphics Editor at National Geographic Magazine. She has a masters degree in geography from the University of Oregon. Lauren is a cartographer who enjoys telling stories with maps and specializes in mapping environment, climate, wildlife, and adventure topics.","user_avatar":""}],"short_description":"A case study using the the ArcGIS Pro Analyze Map pane to find known issues in a map that contribute to slowdowns in drawing performance.","flexible_content":[{"acf_fc_layout":"content","content":"

Hello again! In May 2026 the ArcGIS Pro team released version 3.7<\/a>, which includes a performance review tool called the Analyze Map<\/a> pane. The pane identifies drawing issues and performance bottlenecks to help optimize your map or scene. A similar tool for ArcGIS Online, Review Map<\/a>, helps optimize web maps to support high usage levels.<\/p>\n

Evaluating Your Map\u2019s Drawing Performance: The Analyze Map Pane<\/em><\/a><\/p>\n

In a previous blog post<\/a>, we introduced the pane and where to find it in ArcGIS Pro, the types of issues the analysis finds, and how drawing metrics can be used to optimize the map. In this blog, we showcase a sample map that needs some refinement and use the pane to work through solutions.<\/p>\n

Analyzing a real-world map<\/strong><\/h3>\n

This is a map of Acadia National Park in Maine, USA. Lauren originally made the map for the 2026 User Conference, but together we are assessing its performance.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2985167,"id":2985167,"title":"","filename":"FINISH-Layout-scaled.jpg","filesize":622901,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/FINISH-Layout-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/analyze-map-pane-part-two\/finish-layout","alt":"Map of peregrine falcon habitat in Acadia National Park","author":"360352","description":"Map of peregrine falcon habitat in Acadia National Park","caption":"","name":"finish-layout","status":"inherit","uploaded_to":2985165,"date":"2026-10-16 20:20:54","modified":"2026-10-19 14:38:51","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":2560,"height":2560,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/FINISH-Layout-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/FINISH-Layout-scaled.jpg","medium-width":261,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/FINISH-Layout-scaled.jpg","medium_large-width":768,"medium_large-height":768,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/FINISH-Layout-scaled.jpg","large-width":1080,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/FINISH-Layout-1536x1536.jpg","1536x1536-width":1536,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/FINISH-Layout-2048x2048.jpg","2048x2048-width":2048,"2048x2048-height":2048,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/FINISH-Layout-465x465.jpg","card_image-width":465,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/FINISH-Layout-1080x1080.jpg","wide_image-width":1080,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

The map includes eight layers that show the locations of peregrine falcon habitats and surrounding areas within Acadia National Park. Peregrine falcon habitat<\/a> data was sourced from the Maine Department of Inland Fisheries and Wildlife. Hiking trails<\/a> were sourced from the National Park Service and roads<\/a> were sourced from the Maine Department of Transportation. This map also includes layers for populated places<\/a>, park boundaries<\/a>, landforms<\/a>, hydrography<\/a>, and elevation<\/a> data (all courtesy of ArcGIS Living Atlas<\/a>.)<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2985169,"id":2985169,"title":"","filename":"Layers.png","filesize":19775,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Layers.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/analyze-map-pane-part-two\/layers-7","alt":"An image of the Contents Pane in ArcGIS Pro, with a list of layers used in the Acadia National Park map","author":"360352","description":"An image of the Contents Pane in ArcGIS Pro, with a list of layers used in the Acadia National Park map","caption":"","name":"layers-7","status":"inherit","uploaded_to":2985165,"date":"2026-10-16 20:22:57","modified":"2026-10-19 14:38:32","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":375,"height":425,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Layers-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Layers.png","medium-width":230,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Layers.png","medium_large-width":375,"medium_large-height":425,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Layers.png","large-width":375,"large-height":425,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Layers.png","1536x1536-width":375,"1536x1536-height":425,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Layers.png","2048x2048-width":375,"2048x2048-height":425,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Layers.png","card_image-width":375,"card_image-height":425,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Layers.png","wide_image-width":375,"wide_image-height":425}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

The map is designed for the layout, and we are happy with the result. But we notice some unexpected slowdowns in the way it loads, particularly as we get to a larger scale. That is where the Analyze Map<\/a> tool comes in.<\/p>\n

Analyze map for potential issues<\/strong><\/h3>\n

We’re going to close the layout for now and open the map to take a look at its drawing performance. When we run the analysis at the full extent of the map, we get some interesting feedback as drawing completes. There are 39 warnings and 37 notifications! Thankfully, there are no errors.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2985170,"id":2985170,"title":"Warnings","filename":"Warnings.png","filesize":24084,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Warnings.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/analyze-map-pane-part-two\/warnings-2","alt":"An image of warnings in the Analyze Map pane in ArcGIS Pro","author":"360352","description":"An image of warnings in the Analyze Map pane in ArcGIS Pro","caption":"","name":"warnings-2","status":"inherit","uploaded_to":2985165,"date":"2026-10-16 20:24:04","modified":"2026-10-19 14:38:59","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":516,"height":377,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Warnings-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Warnings.png","medium-width":357,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Warnings.png","medium_large-width":516,"medium_large-height":377,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Warnings.png","large-width":516,"large-height":377,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Warnings.png","1536x1536-width":516,"1536x1536-height":377,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Warnings.png","2048x2048-width":516,"2048x2048-height":377,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Warnings.png","card_image-width":516,"card_image-height":377,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/Warnings.png","wide_image-width":516,"wide_image-height":377}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

These warnings look like they fall into three codes. The codes (such as 10035, 10036, and so forth) are reference identifiers to the respective warning. We can expand 10036 and 10075 to see which layers are impacted by these issues and address them by dissecting the message and applying a solution.<\/p>\n

Before we do that, we\u2019ll click on the Draw Metrics tab and generate metrics for our map.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2985171,"id":2985171,"title":"BeginDrawMetrics","filename":"BeginDrawMetrics.png","filesize":27895,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/BeginDrawMetrics.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/analyze-map-pane-part-two\/begindrawmetrics","alt":"An image of the Analyze Map pane, with the draw metrics for all layers in the map","author":"360352","description":"An image of the Analyze Map pane, with the draw metrics for all layers in the map","caption":"","name":"begindrawmetrics","status":"inherit","uploaded_to":2985165,"date":"2026-10-16 20:25:05","modified":"2026-10-19 14:39:04","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":514,"height":567,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/BeginDrawMetrics-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/BeginDrawMetrics.png","medium-width":237,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/BeginDrawMetrics.png","medium_large-width":514,"medium_large-height":567,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/BeginDrawMetrics.png","large-width":514,"large-height":567,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/BeginDrawMetrics.png","1536x1536-width":514,"1536x1536-height":567,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/BeginDrawMetrics.png","2048x2048-width":514,"2048x2048-height":567,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/BeginDrawMetrics-422x465.png","card_image-width":422,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/BeginDrawMetrics.png","wide_image-width":514,"wide_image-height":567}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Overall, it’s not terrible. The map draw time is less than six seconds at 1:140,000 scale. But there is always room for improvement.<\/p>\n

Addressing the warnings<\/strong><\/h3>\n

Having reviewed the drawing metrics, we can now look into making adjustments to speed up our map’s performance. Let’s go back to the warning codes.<\/p>\n

The first warning (10035) says our definition query references a field that is not indexed. If you aren\u2019t familiar with how to address this or why field indexing is important, you can double-click or right-click the warning and click Help to open documentation for this issue.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2985172,"id":2985172,"title":"HelpHover","filename":"HelpHover.png","filesize":15413,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/HelpHover.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/analyze-map-pane-part-two\/helphover","alt":"An image of the Help hover in the Analyze Map pane in ArcGIS Pro","author":"360352","description":"An image of the Help hover in the Analyze Map pane in ArcGIS Pro","caption":"","name":"helphover","status":"inherit","uploaded_to":2985165,"date":"2026-10-16 20:26:07","modified":"2026-10-19 14:39:10","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":494,"height":197,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/HelpHover-213x197.png","thumbnail-width":213,"thumbnail-height":197,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/HelpHover.png","medium-width":464,"medium-height":185,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/HelpHover.png","medium_large-width":494,"medium_large-height":197,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/HelpHover.png","large-width":494,"large-height":197,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/HelpHover.png","1536x1536-width":494,"1536x1536-height":197,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/HelpHover.png","2048x2048-width":494,"2048x2048-height":197,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/HelpHover.png","card_image-width":494,"card_image-height":197,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/10\/HelpHover.png","wide_image-width":494,"wide_image-height":197}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

The documentation recommends indexing this field since it is used for querying features when drawing the map. (See\u00a0Attribute indexes in the geodatabase<\/a> for more information.) You can also choose to remove the layer from the map, or do nothing and accept the display performance as is.<\/p>\n

The second warning (10036) is similar, but it refers to label class SQL queries. The recommended solutions are the same as the first warning.<\/p>\n

In both cases, we will accept the performance as is, since they are not major contributors to the slowdowns\u2014our feature count is only a couple thousand. In a map with hundreds of thousands, or even millions, of features, field indexing will make more of a difference. Perhaps we will do something about these labels later.<\/p>\n

The final warning (10075) indicates that many<\/strong> of the layers in the map have a different projection than the map\u2019s projection. The layers are reprojecting on-the-fly, which is a common practice when starting a map, but it can later impact drawing performance.<\/p>\n

The documentation recommends three potential solutions:<\/p>\n