{"id":747471,"date":"2020-02-25T13:14:14","date_gmt":"2020-02-25T21:14:14","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=747471"},"modified":"2022-04-18T17:30:26","modified_gmt":"2022-04-19T00:30:26","slug":"lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro","title":{"rendered":"Let&#8217;s do data science Part II: Multidimensional Raster Analysis in ArcGIS Pro"},"author":8222,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22931],"tags":[527462,25431,23011,450302,25441],"industry":[],"product":[36561],"class_list":["post-747471","blog","type-blog","status-publish","format-standard","hentry","category-imagery","tag-arcgis-pro-2-5","tag-multidimensional-dataset","tag-raster","tag-remote-sensing","tag-scientific-data","product-arcgis-pro"],"acf":{"short_description":"ArcGIS Pro 2.5 comes with even more capabilities for working with multidimensional rasters for time series and dimensional analysis.","flexible_content":[{"acf_fc_layout":"content","content":"<p><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/multidimensional-analysis-arcgis-pro\/\">There is so much you can already do<\/a> to work with multidimensional data in ArcGIS Pro, and we\u2019re keeping the ball rolling with ArcGIS Pro 2.5. With this release, there are new tools and enhancements to manage, process and analyze multidimensional rasters. These include a new user experience, new geoprocessing tools, new raster functions and arcPy API enhancements that allow you to extract and manage subsets of a multidimensional raster, calculate trends in your data, and perform predictive analysis.<\/p>\n<h2>New user experience for multidimensional rasters<\/h2>\n<p>A <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/help\/analysis\/image-analyst\/multidimensional-analysis-in-arcgis-pro.htm#ESRI_SECTION1_9FF9489173C741DD95472F21B5AD8374\">new contextual tab<\/a> in ArcGIS Pro makes it easier to work with multidimensional raster layers or multidimensional mosaic dataset layers in your map.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":748531,"id":748531,"title":"DataScience2_Tab","filename":"DataScience2_Tab-1.png","filesize":47863,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Tab-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro\/datascience2_tab-2","alt":"Multidimensional raster tab in ArcGIS Pro","author":"8222","description":"","caption":"","name":"datascience2_tab-2","status":"inherit","uploaded_to":747471,"date":"2020-02-25 17:36:46","modified":"2020-02-25 17:37:08","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":1217,"height":414,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Tab-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Tab-1.png","medium-width":464,"medium-height":158,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Tab-1.png","medium_large-width":768,"medium_large-height":261,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Tab-1.png","large-width":1217,"large-height":414,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Tab-1.png","1536x1536-width":1217,"1536x1536-height":414,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Tab-1.png","2048x2048-width":1217,"2048x2048-height":414,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Tab-1-826x281.png","card_image-width":826,"card_image-height":281,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Tab-1.png","wide_image-width":1217,"wide_image-height":414}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>The new user experience means you can intuitively work with multiple variables and step through time and depth dimensions. You get direct access to the new functions and tools that are used to manage, analyze and visualize multidimensional data. You can also quickly chart multidimensional data using the temporal profile<strong>,<\/strong>\u00a0which has been enhanced with spatial aggregation and charting trends.<\/p>\n<h2>New tools for multidimensional management and analysis<\/h2>\n<p>We&#8217;ve added three new tools to analyze your time series raster data:<\/p>\n<ul>\n<li>Determine when or where a given statistic was reached using the <strong><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/image-analyst\/find-argument-statistics.htm\">Find Argument Statistics.<\/a> <\/strong>For example, you can identify when maximum precipitation occurred over 10 years of data. Included with the Image Analyst and Spatial Analysts extensions.<\/li>\n<\/ul>\n<ul>\n<li>Estimate the trend for each pixel along a specific dimension for multiple variables with the <strong><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/image-analyst\/generate-trend-raster.htm\">Generate Trend Raster<\/a>. <\/strong>For example, you might use this to understand how sea surface temperature has changed over time. Included with the Image Analyst extension.<\/li>\n<\/ul>\n<ul>\n<li>Perform predictive modelling with your data cube using the <strong><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/image-analyst\/predict-using-trend-raster.htm\">Predict Using Trend Raster<\/a>.<\/strong> This can help you predict the extent of a future El Nino event based on trends in historical sea surface temperature data. Included with the Image Analyst extension.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"content","content":"<p>We\u2019ve also added two new tools so you can better manage your data cube.<\/p>\n<ul>\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/multidimension\/make-multidimensional-raster-layer.htm\"><strong>Make<\/strong> <strong>Multidimensional Raster layer<\/strong><\/a> tool \u2013 define a slice in a multidimensional data cube as a single raster. Lets you slice and dice a multidimensional data cube along specific variables and dimensions to work with it as a raster layer. Provided with all ArcGIS Pro license levels.<\/li>\n<li><strong><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/multidimension\/subset-multidimensional-raster.htm\">Subset Multidimensional Raster<\/a> <\/strong>tool &#8211; subset your data along specific variables, and dimensions into another multidimensional data cube. This tool is also available with all ArcGIS Pro license levels.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":747501,"id":747501,"title":"DataScience2_Manage","filename":"DataScience2_Manage.png","filesize":5885,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Manage.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro\/datascience2_manage","alt":"Manage multidimensional tools","author":"8222","description":"","caption":"","name":"datascience2_manage","status":"inherit","uploaded_to":747471,"date":"2020-02-24 22:59:21","modified":"2020-02-24 22:59:36","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":355,"height":310,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Manage-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Manage.png","medium-width":299,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Manage.png","medium_large-width":355,"medium_large-height":310,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Manage.png","large-width":355,"large-height":310,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Manage.png","1536x1536-width":355,"1536x1536-height":310,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Manage.png","2048x2048-width":355,"2048x2048-height":310,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Manage.png","card_image-width":355,"card_image-height":310,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Manage.png","wide_image-width":355,"wide_image-height":310}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Additionally, the following tools have been updated:<\/p>\n<ul>\n<li>The\u00a0<strong><a href=\"https:\/\/prodev.arcgis.com\/en\/pro-app\/tool-reference\/image-analyst\/aggregate-multidimensional-raster.htm\">Aggregate Multidimensional Raster<\/a><\/strong> tool supports more aggregation keywords.<\/li>\n<li>The\u00a0<strong><a href=\"https:\/\/prodev.arcgis.com\/en\/pro-app\/tool-reference\/image-analyst\/generate-multidimensional-anomaly.htm\">Generate Multidimensional Anomaly<\/a><\/strong> tool has four new options for the Anomaly Calculation Method.<\/li>\n<\/ul>\n<h2>New raster functions for on-the-fly equivalents of geoprocessing tools<\/h2>\n<p>Four new raster functions were added for on-the-fly processing:<\/p>\n<ul>\n<li>Process Raster Collection<\/li>\n<li>Linear Spectral Unmixing<\/li>\n<li>Generate Trend<\/li>\n<li>Predict Using Trend<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":748331,"id":748331,"title":"RFs","filename":"RFs.png","filesize":9244,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/RFs.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro\/rfs","alt":"New Raster Functions","author":"8222","description":"","caption":"","name":"rfs","status":"inherit","uploaded_to":747471,"date":"2020-02-25 17:17:09","modified":"2020-02-25 17:20:18","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":467,"height":154,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/RFs-213x154.png","thumbnail-width":213,"thumbnail-height":154,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/RFs.png","medium-width":464,"medium-height":153,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/RFs.png","medium_large-width":467,"medium_large-height":154,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/RFs.png","large-width":467,"large-height":154,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/RFs.png","1536x1536-width":467,"1536x1536-height":154,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/RFs.png","2048x2048-width":467,"2048x2048-height":154,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/RFs.png","card_image-width":467,"card_image-height":154,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/RFs.png","wide_image-width":467,"wide_image-height":154}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<h2>New Python capabilities<\/h2>\n<p>Developers can take advantage of new classes, new functions, and new methods and properties added to the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/arcpy\/classes\/raster-object.htm\">Python raster object<\/a> that allow you to work with multidimensional rasters.<\/p>\n<p><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/arcpy\/image-analyst\/an-overview-of-image-analyst-classes.htm\">New classes:<\/a><\/p>\n<ul>\n<li><strong>ia.RasterCollection<\/strong> &#8211; The\u00a0RasterCollection\u00a0object allows a group of rasters to be sorted and filtered, and prepares a collection for additional processing and analysis.<\/li>\n<li><strong>ia.PixelBlock<\/strong> &#8211; The\u00a0PixelBlock\u00a0object defines a block of pixels within a raster to use for processing. It is used in conjunction with the\u00a0PixelBlockCollection\u00a0object to iterate through one or more large rasters for processing.<\/li>\n<li><strong>ia.PixelBlockCollection<\/strong> &#8211; The\u00a0PixelBlockCollection\u00a0object is an iterator of all\u00a0PixelBlock\u00a0objects in a raster or a list of rasters. It can be used to perform customized raster processing on a block-by-block basis, when otherwise the processed rasters would be too large to load into memory.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/arcpy\/image-analyst\/an-overview-of-the-image-analyst-functions.htm\">New functions include:<\/a><\/p>\n<ul>\n<li><strong>ia.Merge<\/strong> &#8211; Creates a raster object by merging a list of rasters spatially or across dimensions.<\/li>\n<li><strong>ia.Render<\/strong>&#8211; Creates a rendered raster object by applying symbology to the referenced raster dataset. This function is useful when displaying data in a ArcGIS Notebook.<\/li>\n<li><strong>Raster functions for arcpy.ia and arcpy.sa<\/strong> \u2013 You can now use almost all of the raster functions to manage and analyze raster data using the arcpy API.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"youtube","start_time":"0","end_time":"","youtube_video_url":"<iframe title=\"Multidimensional Analysis: Geoprocessing tools in ArcGIS Pro 2.5\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/afG704gTdOI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>"},{"acf_fc_layout":"content","content":"<p>Overall, there are a lot of tools to try out for developers and users alike who dwell in science!\u00a0 Stay tuned for more interesting features coming soon!<\/p>\n"}],"authors":[{"ID":8222,"user_firstname":"Julia","user_lastname":"Lenhardt","nickname":"Julia L","user_nicename":"jlenhardt","display_name":"Julia Lenhardt","user_email":"JLenhardt@esri.com","user_url":"","user_registered":"2018-08-03 17:12:51","user_description":"Julia is a product engineer on the Raster team. She has been with Esri since 2014 and has a background in remote sensing and GIS for environmental research. In addition to image analysis, she has a passion for music, running, good food and animal welfare.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/10\/Me.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":8452,"user_firstname":"Vinay","user_lastname":"Viswambharan","nickname":"Vinay Viswambharan","user_nicename":"vinayv","display_name":"Vinay Viswambharan","user_email":"vinayv@esri.com","user_url":"https:\/\/www.esri.com\/arcgis-blog\/author\/vinayv\/","user_registered":"2018-10-04 22:28:54","user_description":"Principal Product manager on the Imagery team at Esri, with a zeal for remote sensing, AI and everything imagery.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/10\/vin4.png' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":[{"ID":587782,"post_author":"8222","post_date":"2019-08-27 07:09:05","post_date_gmt":"2019-08-27 14:09:05","post_content":"","post_title":"Let\u2019s do data science! Multidimensional analysis in ArcGIS Pro","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"multidimensional-analysis-arcgis-pro","to_ping":"","pinged":"","post_modified":"2022-04-18 17:33:20","post_modified_gmt":"2022-04-19 00:33:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=587782","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":730302,"post_author":"10232","post_date":"2020-02-11 16:00:46","post_date_gmt":"2020-02-12 00:00:46","post_content":"","post_title":"Explore your raster data with Space Time Pattern Mining","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"explore-your-raster-data-with-space-time-pattern-mining","to_ping":"","pinged":"","post_modified":"2020-05-18 08:58:51","post_modified_gmt":"2020-05-18 15:58:51","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=730302","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Card.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/02\/DataScience2_Banner.jpg"},"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>Data Science &amp; Multidimensional Raster Layer Analysis in ArcGIS Pro<\/title>\n<meta name=\"description\" content=\"ArcGIS Pro allows you to analyze trends in your multidimensional data and explore statistics with an interactive experience and the ArcGIS API for Python.\" \/>\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-pro\/imagery\/lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Let&#039;s do data science Part II: Multidimensional Raster Analysis in ArcGIS Pro\" \/>\n<meta property=\"og:description\" content=\"ArcGIS Pro allows you to analyze trends in your multidimensional data and explore statistics with an interactive experience and the ArcGIS API for Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro\" \/>\n<meta property=\"og:site_name\" content=\"ArcGIS Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"article:modified_time\" content=\"2022-04-19T00:30:26+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@ESRI\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":[\"Article\",\"BlogPosting\"],\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro\"},\"author\":{\"name\":\"Julia Lenhardt\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/dd72385e82420c28c64ee1e347f8e26b\"},\"headline\":\"Let&#8217;s do data science Part II: Multidimensional Raster Analysis in ArcGIS Pro\",\"datePublished\":\"2020-02-25T21:14:14+00:00\",\"dateModified\":\"2022-04-19T00:30:26+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/lets-do-data-science-part-ii-multidimensional-raster-analysis-in-arcgis-pro\"},\"wordCount\":13,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"keywords\":[\"ArcGIS Pro 2.5\",\"multidimensional dataset\",\"raster\",\"remote sensing\",\"scientific data\"],\"articleSection\":[\"Imagery &amp; 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