{"id":2987028,"date":"2026-11-09T22:08:40","date_gmt":"2026-11-10T06:08:40","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2987028"},"modified":"2026-11-09T22:09:39","modified_gmt":"2026-11-10T06:09:39","slug":"raster-analysis-comes-to-modelbuilder-in-map-viewer-beta","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/announcements\/raster-analysis-comes-to-modelbuilder-in-map-viewer-beta","title":{"rendered":"Raster Analysis Comes to ModelBuilder in Map Viewer (Beta)"},"author":5241,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,37101],"tags":[33371,24331,23011],"industry":[],"product":[36551],"class_list":["post-2987028","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-announcements","tag-map-viewer","tag-modelbuilder","tag-raster","product-arcgis-online"],"acf":{"authors":[{"ID":5241,"user_firstname":"Jian","user_lastname":"Lange","nickname":"Jian Lange","user_nicename":"jzlange","display_name":"Jian Lange","user_email":"jlange@esri.com","user_url":"","user_registered":"2018-03-02 00:16:53","user_description":"Jian Lange is a principal product manager with Esri\u2019s Product Management team in Redlands, California. She is responsible for various aspects of ArcGIS Spatial Analysis products, including business planning, road maps, requirements, and management.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/03\/JianLange-150x150.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":7091,"user_firstname":"Sarmistha","user_lastname":"Chatterjee","nickname":"Sarmistha Chatterjee","user_nicename":"schatterjee17","display_name":"Sarmistha Chatterjee","user_email":"SChatterjee@esri.com","user_url":"","user_registered":"2018-03-02 00:19:17","user_description":"Sarmistha is a Product Engineer in Esri's raster analysis group, where she focuses on raster and scientific multidimensional data analysis. She is especially interested in combining GIS technology, spatial analysis, and software engineering to study changes for conservation and better decision-making. Before joining Esri in 2017, Sarmistha earned her PhD in Geography from the University of Delaware, where she researched fluvial geomorphology, water resources, and spatial modeling.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/08\/Headshot_SarmisthaChatterjee-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"Introducing raster analysis in ModelBuilder beta, to support automated workflows that combine raster and feature analysis in a single model.","flexible_content":[{"acf_fc_layout":"content","content":"<p data-pm-slice=\"1 1 []\"><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/announcements\/modelbuilder-exits-beta-now-generally-available-in-arcgis-online\" target=\"_blank\" rel=\"noopener\">ModelBuilder<\/a> in Map Viewer helps ArcGIS Online users build visual, repeatable workflows by connecting tools into multi-step processes that can be automated, documented, and shared.<\/p>\n<p>Many spatial projects require both feature and raster data. For example, you might combine location data with elevation, land cover, or imagery to better understand patterns and conditions across an area.<\/p>\n<p>With the introduction of raster analysis in ModelBuilder in Map Viewer (beta) in <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/announcements\/whats-new-in-map-viewer-november-2026\" target=\"_blank\" rel=\"noopener\">ArcGIS Online in November 2026<\/a>, you can bring raster and feature tools together in a single model. The beta introduces 14 raster tools, raster inputs, configurable analysis environments, and a new Raster Optimized analysis session.<\/p>\n<p>Let&#8217;s explore what&#8217;s new and see how these capabilities work together in an example.<\/p>\n"},{"acf_fc_layout":"content","content":"<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<ul>\n<li><a href=\"#value\" rel=\"noopener\">Why Raster Analysis Matters<\/a><\/li>\n<li><a href=\"#value\" rel=\"noopener\">What do you need to use raster analysis tools in ModelBuilder?<\/a><\/li>\n<li><a href=\"#optimized\" rel=\"noopener\">Introducing the Raster Optimized session<\/a><\/li>\n<li><a href=\"#rasterdata\" rel=\"noopener\">Add raster data to your models<\/a><\/li>\n<li><a href=\"#environment\" rel=\"noopener\">Control processing with analysis environments<\/a><\/li>\n<li><a href=\"#demo\" rel=\"noopener\">Explore the source of contamination in a riparian zone<\/a><\/li>\n<li><a href=\"#EAC\" rel=\"noopener\">Join the Early Adopter Community\u00a0<\/a><\/li>\n<li><a href=\"#next\" rel=\"noopener\">What&#8217;s next?<\/a><\/li>\n<\/ul>\n"},{"acf_fc_layout":"content","content":"<h1 id=\"value\"><\/h1>\n<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<h3><strong>Why Raster Analysis Matters<\/strong><\/h3>\n<p data-pm-slice=\"1 1 []\">Before this ArcGIS Online update, ModelBuilder focused on feature analysis. Raster support removes the separation between raster and feature operations, enabling you to bring both data types and their associated tools into the same model. You can use raster and feature datasets as inputs and incorporate Map Viewer raster analysis tools alongside feature analysis tools.<\/p>\n<p>This makes it possible to build more comprehensive spatial models that connect vector geographic features, such as roads and boundaries, with continuous information represented by rasters, such as elevation, land cover, and vegetation. Rather than managing separate models for each data type, you can combine these complementary perspectives to address more complex spatial problems in one place.<\/p>\n<p>The beta update introduces 14 raster tools covering a range of capabilities, including hydrologic analysis, raster-to-feature conversion, sampling, zonal analysis, and multidimensional analysis.<\/p>\n"},{"acf_fc_layout":"content","content":"<h1 id=\"requirement\"><\/h1>\n<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<h3 data-pm-slice=\"1 1 []\"><strong>What do you need to use raster analysis tools in ModelBuilder?<\/strong><\/h3>\n<p data-pm-slice=\"1 1 []\">To use raster analysis in ModelBuilder, you need the following:<\/p>\n<ul>\n<li data-start=\"113\" data-end=\"192\"><a href=\"https:\/\/doc.arcgis.com\/en\/arcgis-online\/analyze\/licensing-modelbuilder-mv.htm\" target=\"_blank\" rel=\"noopener\"><strong data-start=\"113\" data-end=\"139\">ModelBuilder <\/strong>licensing <\/a>\u2013 included with a <strong>Professional<\/strong> user type or higher<\/li>\n<li data-start=\"113\" data-end=\"192\">The<a href=\"https:\/\/doc.arcgis.com\/en\/arcgis-online\/administer\/privileges-for-roles-orgs.htm#ESRI_SECTION1_C30D73392D964D51A8B606128A8A6E8F\"><strong data-start=\"196\" data-end=\"227\"> Imagery analysis <\/strong>privilege<\/a> \u2013 required to use raster analysis tools in Map Viewer.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"content","content":"<h1 id=\"optimized\"><\/h1>\n<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<h3 data-pm-slice=\"1 1 []\"><strong>Introducing the Raster Optimized session<\/strong><\/h3>\n<p data-pm-slice=\"1 1 []\">ModelBuilder uses analysis sessions to provide the computing resources needed to build and run models. Until now, ModelBuilder has offered a single type of analysis session for feature analysis. <a href=\"https:\/\/doc.arcgis.com\/en\/arcgis-online\/administer\/credits.htm\" target=\"_blank\" rel=\"noopener\">Credits <\/a>are charged based on the time you are connected to an analysis session.<\/p>\n<p>With raster support, you can now choose between two session types: <strong>Standard<\/strong> and <strong>Raster Optimized<\/strong>. The Standard session remains the default and supports models that combine feature and raster operations.<\/p>\n<p>For models involving larger raster datasets or processing that can benefit from parallel computing, you can choose the new <strong>Raster Optimized<\/strong> session, which provides additional computing resources for more demanding tasks.<\/p>\n<p>During the beta period, both session types use the existing ModelBuilder credit rate. This allows you to explore the new raster capabilities and provide feedback without any changes to current pricing.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2988141,"id":2988141,"title":"AnalysisSession","filename":"AnalysisSession.png","filesize":85207,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/AnalysisSession.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/announcements\/raster-analysis-comes-to-modelbuilder-in-map-viewer-beta\/analysissession","alt":"Analysis session","author":"7091","description":"","caption":"Figure: Analysis session options.","name":"analysissession","status":"inherit","uploaded_to":2987028,"date":"2026-11-07 20:32:57","modified":"2026-11-07 22:40:46","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":491,"height":487,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/AnalysisSession-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/AnalysisSession.png","medium-width":263,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/AnalysisSession.png","medium_large-width":491,"medium_large-height":487,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/AnalysisSession.png","large-width":491,"large-height":487,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/AnalysisSession.png","1536x1536-width":491,"1536x1536-height":487,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/AnalysisSession.png","2048x2048-width":491,"2048x2048-height":487,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/AnalysisSession-469x465.png","card_image-width":469,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/AnalysisSession.png","wide_image-width":491,"wide_image-height":487}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1 id=\"rasterdata\"><\/h1>\n<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<h3><strong><span class=\"TextRun SCXW53228460 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW53228460 BCX8\">Add raster data to your models<\/span><\/span><span class=\"EOP Selected SCXW53228460 BCX8\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/strong><\/h3>\n<p data-pm-slice=\"1 1 []\">To build raster-based processes, you need raster inputs. ModelBuilder now includes a <strong>Raster Layer variable<\/strong> that allows you to use raster datasets as model inputs.<\/p>\n<p>Raster data used in ModelBuilder must be a hosted <strong>ArcGIS Image Service<\/strong>. Both dynamic and tiled imagery layers are supported. You can select raster layers directly from your web map or browse available data sources, including <strong>ArcGIS Living Atlas<\/strong>, to find and add image services to your model. You can also add\u00a0 the data using the Raster layer variable.<\/p>\n<p>Once added, raster layers can be connected to supported raster analysis tools and combined with feature datasets and feature analysis tools in the same model, enabling you to build integrated raster and feature processes.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2988148,"id":2988148,"title":"Raster layer variable","filename":"RasterVariable.png","filesize":163980,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RasterVariable.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/announcements\/raster-analysis-comes-to-modelbuilder-in-map-viewer-beta\/rastervariable","alt":"","author":"7091","description":"","caption":"Figure: Adding raster data to a model using the raster layer variable.","name":"rastervariable","status":"inherit","uploaded_to":2987028,"date":"2026-11-07 20:53:16","modified":"2026-11-07 22:40:40","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":910,"height":642,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RasterVariable-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RasterVariable.png","medium-width":370,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RasterVariable.png","medium_large-width":768,"medium_large-height":542,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RasterVariable.png","large-width":910,"large-height":642,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RasterVariable.png","1536x1536-width":910,"1536x1536-height":642,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RasterVariable.png","2048x2048-width":910,"2048x2048-height":642,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RasterVariable-659x465.png","card_image-width":659,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RasterVariable.png","wide_image-width":910,"wide_image-height":642}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1 id=\"environment\"><\/h1>\n<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<h3><strong>Control processing with analysis environments<\/strong><\/h3>\n<p data-pm-slice=\"1 1 []\">Raster processing often depends on analysis environment settings that control how data is processed and how results are generated. These include settings such as processing extent, snap raster, and cell size, which help ensure that raster outputs align and are generated at the intended resolution and geographic area.<\/p>\n<p>ModelBuilder now allows you to configure and save these settings directly within a model, extending environment support previously available for individual analysis tools in Map Viewer. By default, models inherit environment settings from the current web map. You can override individual settings and save specific values with the model to control how it runs.<\/p>\n<p>For each environment setting, you can choose to keep it synchronized with the web map or retain a fixed value stored in the model. This gives you greater control over processing and helps ensure consistent, reproducible results without changing the web map&#8217;s environment settings.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2988479,"id":2988479,"title":"Model environments","filename":"ModelEnvironments01.png","filesize":111802,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/ModelEnvironments01.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/announcements\/raster-analysis-comes-to-modelbuilder-in-map-viewer-beta\/modelenvironments01","alt":"Model environments","author":"7091","description":"","caption":"Figure: Accessing model environments from within the model.","name":"modelenvironments01","status":"inherit","uploaded_to":2987028,"date":"2026-11-09 20:26:41","modified":"2026-11-09 20:26:56","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":885,"height":708,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/ModelEnvironments01-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/ModelEnvironments01.png","medium-width":326,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/ModelEnvironments01.png","medium_large-width":768,"medium_large-height":614,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/ModelEnvironments01.png","large-width":885,"large-height":708,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/ModelEnvironments01.png","1536x1536-width":885,"1536x1536-height":708,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/ModelEnvironments01.png","2048x2048-width":885,"2048x2048-height":708,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/ModelEnvironments01-581x465.png","card_image-width":581,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/ModelEnvironments01.png","wide_image-width":885,"wide_image-height":708}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1 id=\"demo\"><\/h1>\n<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<h3><strong>Explore the source of contamination in a riparian zone<\/strong><\/h3>\n<p><span data-contrast=\"auto\">Let\u2019s walk through an example to see how this works in practice.<br \/>\nImagine that water-quality monitoring has identified several locations with observed contamination. We want to better understand the landscape upstream from those locations and identify conditions that could influence how contaminants reach nearby waterways.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For this example, we will investigate observed contaminant locations in Utah.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><span data-contrast=\"auto\">The model combines point and stream features with elevation and slope rasters. It uses hydrology and zonal analysis tools to delineate the upstream watershed and calculate information about slope within the contributing area.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><span data-contrast=\"auto\">The workflow begins with the observed contaminant locations and a digital elevation model.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><span data-contrast=\"auto\">Hydrologic analysis is used to determine the area upstream from the observations. This enables us to move beyond simply looking at the contamination points and examine the landscape that may be contributing to those locations.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Next, the workflow evaluates slope, an important landscape characteristic when considering how water and associated materials may move toward streams. The model also examines the riparian area surrounding the stream network. A 500-meter<\/span> <span data-contrast=\"auto\">buffer is used for riparian analysis, and zonal statistics summarize slope values within those areas.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2988150,"id":2988150,"title":"Inputs","filename":"Inputs.png","filesize":1691953,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/announcements\/raster-analysis-comes-to-modelbuilder-in-map-viewer-beta\/inputs-2","alt":"Inputs and workflow model","author":"7091","description":"","caption":"Figure: Exploring the source of contamination in a riparian zone using a model.","name":"inputs-2","status":"inherit","uploaded_to":2987028,"date":"2026-11-07 22:37:24","modified":"2026-11-07 22:40:30","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":1920,"height":1080,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs.png","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs.png","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs.png","large-width":1920,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs-1536x864.png","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs.png","2048x2048-width":1920,"2048x2048-height":1080,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs-826x465.png","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs.png","wide_image-width":1920,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/Inputs.png"},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">When the analysis finishes, selected results can be published as hosted outputs in ArcGIS Online for visualization and additional analysis. Intermediate results do not all need to become permanent layers. The existing ModelBuilder design uses temporary intermediate outputs by default while enabling selected results to be preserved as hosted layers.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In the example, the resulting analysis shows that the average slope for North Creek is higher than for Ash Creek and the East Fork Virgin River, providing additional information for interpreting potential contaminant movement in the study area.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><span data-contrast=\"auto\">By linking each step, ModelBuilder captures the full analytical process rather than a series of separate tool runs. The workflow goes beyond producing a raster: it brings observations, terrain, hydrology, and summary information together in a repeatable workflow.<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"kaltura","video_id":"1_vdtpbrw7","time":false,"start":"0"},{"acf_fc_layout":"content","content":"<h1 id=\"EAC\"><\/h1>\n<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<h3><strong>Join the Early Adopter Community<\/strong><\/h3>\n<p data-pm-slice=\"1 1 []\">Raster analysis in ModelBuilder is now available in beta, and we invite you to join the <a href=\"https:\/\/earlyaccess.esri.com\/modelbuilderrasterinmapviewer\">Early Adopter Community (EAC)<\/a> to explore the new capabilities and help shape their future development. In the community forums, you can ask questions, share your experiences, connect with other participants, and provide feedback directly to the Esri team.<\/p>\n<p>To learn more about ModelBuilder, visit the <a href=\"https:\/\/doc.arcgis.com\/en\/arcgis-online\/analyze\/modelbuilder-overview-mv.htm\">ModelBuilder resource page<\/a> in the ArcGIS Online Help documentation. You can also follow the step-by-step <a href=\"https:\/\/doc.arcgis.com\/en\/arcgis-online\/analyze\/get-started-modelbuilder-mv.htm\">Get Started with ModelBuilder tutorial<\/a> to build your first model.<\/p>\n"},{"acf_fc_layout":"content","content":"<h1 id=\"next\"><\/h1>\n<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<h3><strong>What&#8217;s next?<\/strong><\/h3>\n<p data-pm-slice=\"1 1 []\">This beta is an important first step toward expanding the raster capabilities available in ModelBuilder and enabling more advanced imagery workflows in ArcGIS Online.<\/p>\n<p>The current release focuses on a subset of raster analysis tools and the supporting capabilities needed to build and run raster-enabled models. Looking ahead, future development will explore broader raster tool support and additional capabilities, including GPU-accelerated deep learning analysis and raster functions in ModelBuilder.<\/p>\n<p>As we continue to evolve these capabilities, our goal is to give GIS analysts more flexibility and power to build, automate, and run <span class=\"NormalTextRun SCXW143504494 BCX8\">raster-based spatial analysis directly <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW143504494 BCX8\">in<\/span><span class=\"NormalTextRun SCXW143504494 BCX8\"> ArcGIS Online.<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h1 id=\"next\"><\/h1>\n<p><img decoding=\"async\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/breakgray.png\" alt=\"\" \/><\/p>\n<h3><strong>We want your feedback<\/strong><\/h3>\n<p>The Esri Web Analysis team is excited to introduce Raster Analysis in ModelBuilder (Beta) in Map Viewer! We are eager to hear your thoughts on the new raster analysis capabilities in ModelBuilder and learn how they enhance your spatial analysis workflows in ArcGIS Online.<\/p>\n<p>We look forward to hearing from you!<\/p>\n<p>Happy Analysis!<\/p>\n"}],"related_articles":"","show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/11\/RAMB_card1.png","wide_image":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Raster Analysis Comes to ModelBuilder in Map Viewer (Beta)<\/title>\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\/arcgis-blog\/products\/arcgis-online\/announcements\/raster-analysis-comes-to-modelbuilder-in-map-viewer-beta\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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