{"id":1857972,"date":"2023-03-02T08:15:42","date_gmt":"2023-03-02T16:15:42","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1857972"},"modified":"2023-03-02T08:24:51","modified_gmt":"2023-03-02T16:24:51","slug":"spatial-analysis-and-data-science-at-the-2023-esri-developer-summit","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/analytics\/spatial-analysis-and-data-science-at-the-2023-esri-developer-summit","title":{"rendered":"Spatial Analytics at the 2023 Esri Developer Summit"},"author":6481,"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],"tags":[25351,665211,35661,25631,761242],"industry":[],"product":[421922,36841,765842,36941,37381,36801,762232,36561,37031,756702],"class_list":["post-1857972","blog","type-blog","status-publish","format-standard","hentry","category-analytics","tag-big-data","tag-geoai","tag-machine-learning","tag-spatial-analysis","tag-spatial-analysis-and-data-science","product-arcgis","product-api-python","product-geoanalytics-engine","product-geoanalytics-server","product-ext-server-geoevent","product-insights","product-arcgis-knowledge","product-arcgis-pro","product-spatial-analyst","product-arcgis-velocity"],"acf":{"authors":[{"ID":6481,"user_firstname":"Suzanne","user_lastname":"Foss","nickname":"Suzanne Foss","user_nicename":"sfoss_dtc","display_name":"Suzanne Foss","user_email":"SFoss@esri.com","user_url":"","user_registered":"2018-03-02 00:18:24","user_description":"Suzanne is the Product Manager for Esri's Spatial Analytics & Data Science capability. She has worked in the geographic information systems industry for over 17 years with a focus on spatiotemporal analysis, model building, real-time processing, and workflow automation.","user_avatar":""},{"ID":6651,"user_firstname":"Mallory","user_lastname":"Delgadillo","nickname":"Mallory Delgadillo","user_nicename":"mdelgadillo","display_name":"Mallory Delgadillo","user_email":"MDelgadillo@esri.com","user_url":"","user_registered":"2018-03-02 00:18:37","user_description":"Mallory Delgadillo is the Lead Product Marketing Manager for Esri's SaaS, Imagery, and Spatial Data Science products. During her nine years at Esri, she has focused on educating and inspiring data and remote sensing enthusiasts to think spatially, enhancing their understanding of GIS applications.","user_avatar":""}],"short_description":"During the 2023 Esri DevSummit, explore the spatial analytics and data science capabilities in the ArcGIS ecosystem.","flexible_content":[{"acf_fc_layout":"content","content":"

We’re very excited to connect with users at the 2023 Esri Developer Summit<\/a> next week in Palm Springs, CA! Members of Esri’s product and development teams will be available to provide demonstrations, answer questions, and help you explore the broad range of spatial analysis and data science capabilities in ArcGIS<\/a>.<\/p>\n

Regardless of the industry or problem you’re trying to solve, in many cases there’s a core set of questions that you’re usually asking when working with spatial data.\u00a0 This includes understanding where<\/strong> locations, incidents, or patterns are; as well as measuring the size, shape, and distribution<\/strong> of geographic features or sets of features.\u00a0 Then there’s determining how places are related<\/strong> to each other (closest, within, etc), as well as finding the best locations and paths<\/strong> such as which areas satisfy criteria or which is the fastest route.\u00a0 And going further – detecting and quantifying patterns<\/strong> such as hot spots and change in patterns over time, and finally making predictions<\/strong> so that issues can be anticipated and possibly mitigated before they occur.\u00a0 These core questions are all part of the language of spatial analysis<\/a>.<\/p>\n

Check out the below guide for an overview of spatial analysis-related technical sessions and presentations at this year’s DevSummit, with indicators for which of the above spatial analysis questions and processes the session is covering.\u00a0 The guide also includes whether the session discusses other important concepts that are often part of spatial analysis workflows, such as data engineering<\/strong> and process automation<\/strong> (scripting, job scheduling, etc).<\/p>\n

If you haven\u2019t registered yet, check out your registration options\u00a0here<\/a>. Follow us on\u00a0Twitter<\/a> for the latest updates.\u00a0 Hope to see you there!<\/p>\n

Legend: Spatial Analysis Concepts<\/strong><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1858952,"id":1858952,"title":"analytics_concepts_legend","filename":"analytics_concepts_legend.png","filesize":17321,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/analytics_concepts_legend.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/analytics\/spatial-analysis-and-data-science-at-the-2023-esri-developer-summit\/analytics_concepts_legend","alt":"","author":"6481","description":"","caption":"","name":"analytics_concepts_legend","status":"inherit","uploaded_to":1857972,"date":"2023-02-28 02:51:07","modified":"2023-02-28 02:51:07","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":719,"height":227,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/analytics_concepts_legend-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/analytics_concepts_legend.png","medium-width":464,"medium-height":146,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/analytics_concepts_legend.png","medium_large-width":719,"medium_large-height":227,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/analytics_concepts_legend.png","large-width":719,"large-height":227,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/analytics_concepts_legend.png","1536x1536-width":719,"1536x1536-height":227,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/analytics_concepts_legend.png","2048x2048-width":719,"2048x2048-height":227,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/analytics_concepts_legend.png","card_image-width":719,"card_image-height":227,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/analytics_concepts_legend.png","wide_image-width":719,"wide_image-height":227}},"image_position":"left-center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

All times PST. All locations reference the Palm Springs Convention Center and the Renaissance Marriott.<\/em><\/p>\n

Tuesday, March 7<\/strong><\/p>\n\n\n\n\n\n\n\n\n
Session Title<\/strong><\/th>\nTime<\/strong><\/th>\nLocation<\/strong><\/th>\nType<\/strong><\/th>\nSpatial Analysis Concepts<\/strong><\/th>\n<\/tr>\n
Spatial Data Science in ArcGIS<\/td>\n01:00 PM – 02:00 PM<\/td>\nPrimrose B<\/td>\nTechnical Session<\/td>\n\u00a0general<\/i><\/td>\n<\/tr>\n
Spatial Data Science with ArcGIS Notebooks<\/td>\n02:30 PM – 03:30 PM<\/td>\nPrimrose B<\/td>\nTechnical Session<\/td>\n\u00a0general<\/i><\/td>\n<\/tr>\n
ArcGIS Velocity: An Introduction<\/td>\n04:00 PM – 05:00 PM<\/td>\nPrimrose B<\/td>\nTechnical Session<\/td>\n\"understanding_where_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
Spatial Analysis using ArcGIS API for Python<\/td>\n05:30 PM – 06:30 PM<\/td>\nSmoketree A-E<\/td>\nTechnical Session<\/td>\n\"understanding_where_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
ArcGIS Insights: Cloud Analytics With Big Data<\/td>\n05:30 PM – 06:30 PM<\/td>\nMesquite C<\/td>\nTechnical Session<\/td>\n\"data_engineering_icon\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n"},{"acf_fc_layout":"content","content":"

Wednesday, March 8<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Session Title<\/strong><\/th>\nTime<\/strong><\/th>\nLocation<\/strong><\/th>\nType<\/strong><\/th>\nSpatial Analysis Concepts<\/strong><\/th>\n<\/tr>\n
Data Frames<\/td>\n10:30 AM – 11:30 AM<\/td>\nPasadena\/Sierra\/Ventura<\/td>\nTechnical Session<\/td>\n\"data_engineering_icon\"\u00a0\"automating_processes_icon\"<\/td>\n<\/tr>\n
Building Web Applications and Notebooks with ArcGIS Knowledge<\/td>\n10:30 AM – 11:30 AM<\/td>\nMesquite C<\/td>\nTechnical Session<\/td>\n\"determining_related_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
Data Visualization for Spatial Analysis with ArcPy Charts<\/td>\n10:30 AM – 11:00 AM<\/td>\nDemo Theater 1 Oasis 1 & 2<\/td>\nDemo Theater<\/td>\n\"detecting_patterns_icon\"<\/td>\n<\/tr>\n
Find What You Are Looking For: Optimizing Search and Filtering in Apps<\/td>\n10:30 AM – 11:00 AM<\/td>\nDemo Theater 2 Oasis 1 & 2<\/td>\nDemo Theater<\/td>\n\"understanding_where_icon\"<\/td>\n<\/tr>\n
Spatial Data Science Explained: Foundations and Innovations in Regression<\/td>\n11:15 AM – 11:45 AM<\/td>\nDemo Theater 1 Oasis 1 & 2<\/td>\nDemo Theater<\/td>\n\"making_predictions_icon\"<\/td>\n<\/tr>\n
Working with Spatially Enabled Dataframes (SeDF)<\/td>\n01:00 PM – 01:30 PM<\/td>\nDemo Theater 3 Mesquite D-E<\/td>\nDemo Theater<\/td>\n\"understanding_where_icon\"<\/td>\n<\/tr>\n
Python Toolboxes for Developers and Novice Users<\/td>\n01:00 PM – 01:30 PM<\/td>\nMesquite B<\/td>\nUser Presentation<\/td>\n\"automating_processes_icon\"<\/td>\n<\/tr>\n
Isolation Tracing as a Service: A Custom ArcPy Solution for Water Networks<\/td>\n01:00 PM – 01:30 PM<\/td>\nMesquite C<\/td>\nUser Presentation<\/td>\n\"understanding_where_icon\"<\/td>\n<\/tr>\n
Developing a Hydrological Modeling Utility Tool Using ArcGIS Pro SDK<\/td>\n01:45 PM – 02:15 PM<\/td>\nMesquite C<\/td>\nUser Presentation<\/td>\n\"measuring_icon\"<\/td>\n<\/tr>\n
Analyzing Multidimensional Features using Python<\/td>\n02:30 PM – 03:00 PM<\/td>\nDemo Theater 1 Oasis 1 & 2<\/td>\nDemo Theater<\/td>\n\"detecting_patterns_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
Working with Time Data in ArcGIS Online<\/td>\n03:15 PM – 03:45 PM<\/td>\nDemo Theater 3 Mesquite D-E<\/td>\nDemo Theater<\/td>\n\"detecting_patterns_icon\"<\/td>\n<\/tr>\n
Leverage the Power of Arrow in ArcGIS<\/td>\n03:15 PM – 03:45 PM<\/td>\nDemo Theater 1 Oasis 1 & 2<\/td>\nDemo Theater<\/td>\n\"data_engineering_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
ArcPy: Working with Raster Data<\/td>\n04:00 PM – 05:00 PM<\/td>\nSan Jacinto<\/td>\nTechnical Session<\/td>\n\"detecting_patterns_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
Automating the Extraction of Information from Imagery Using Deep Learning<\/td>\n04:00 PM – 05:00 PM<\/td>\nPrimrose B<\/td>\nTechnical Session<\/td>\n\"making_predictions_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
Enabling Customer Analytics with ArcGIS Enterprise and ArcGIS for Javascript API<\/td>\n04:45 PM – 05:15 PM<\/td>\nMesquite C<\/td>\nUser Presentation<\/td>\n\"measuring_icon\"<\/td>\n<\/tr>\n
GeoAnalytics Engine: Custom Analysis in Your Cloud Environment<\/td>\n04:45 PM – 05:15 PM<\/td>\nDemo Theater 1 Oasis 1 & 2<\/td>\nDemo Theater<\/td>\n\"determining_related_icon\" \"finding_locations_icon\" \"detecting_patterns_icon\" \"making_predictions_icon\"<\/td>\n<\/tr>\n
Harnessing the Power of R in ArcGIS with R-ArcGIS Bridge<\/td>\n05:30 PM – 06:30 PM<\/td>\nSan Jacinto<\/td>\nTechnical Session<\/td>\n\"making_predictions_icon\"<\/td>\n<\/tr>\n
ArcGIS Maps SDK for JavaScript: Real-Time Data Visualization and Analytics<\/td>\n05:30 PM – 06:30 PM<\/td>\nPasadena\/Sierra\/Ventura<\/td>\nTechnical Session<\/td>\n\"understanding_where_icon\"<\/td>\n<\/tr>\n
Advanced Analysis of Satellite Imagery Using Python<\/td>\n05:30 PM – 06:30 PM<\/td>\nPrimrose B<\/td>\nTechnical Session<\/td>\n\"detecting_patterns_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n"},{"acf_fc_layout":"content","content":"

Thursday, March 9<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Session Title<\/strong><\/th>\nTime<\/strong><\/th>\nLocation<\/strong><\/th>\nType<\/strong><\/th>\nSpatial Analysis Concepts<\/strong><\/th>\n<\/tr>\n
Working with Geometries in ArcGIS API for Python<\/td>\n10:30 PM – 11:00 PM<\/td>\nDemo Theater 1 Oasis 1 & 2<\/td>\nDemo Theater<\/td>\n\"measuring_icon\"\u00a0\"automating_processes_icon\"<\/td>\n<\/tr>\n
Creating Geoprocessing Tools<\/td>\n01:00 PM – 02:00 PM<\/td>\nPrimrose A<\/td>\nTechnical Session<\/td>\n\"automating_processes_icon\"<\/td>\n<\/tr>\n
GeoAnalytics Engine: Big Data and Spatial Analysis<\/td>\n02:30 PM – 03:30 PM<\/td>\nSan Jacinto<\/td>\nTechnical Session<\/td>\n\"determining_related_icon\" \"finding_locations_icon\" \"detecting_patterns_icon\" \"making_predictions_icon\"<\/td>\n<\/tr>\n
Geospatial Deep Learning with ArcGIS<\/td>\n02:30 PM – 03:30 PM<\/td>\nPrimrose C-D<\/td>\nTechnical Session<\/td>\n\"making_predictions_icon\" \"data_engineering_icon\"<\/td>\n<\/tr>\n
ArcGIS Pro: The Road Ahead<\/td>\n02:30 PM – 03:30 PM<\/td>\nPasadena\/Sierra\/Ventura<\/td>\nTechnical Session<\/td>\n\u00a0general<\/i><\/td>\n<\/tr>\n
Spatially-Enabled DataFrames v GeoPandas: Comparing Python Geospatial Frameworks<\/td>\n03:15 PM – 03:45 PM<\/td>\nComparing Python Geospatial Frameworks \u2013 Mesquite C<\/td>\nUser Presentation<\/td>\n\"data_engineering_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
ArcGIS Velocity: Stateful Real-Time Analytics with Arcade<\/td>\n03:15 PM – 03:45 PM<\/td>\nDemo Theater 1 Oasis 1 & 2<\/td>\nDemo Theater<\/td>\n\"understanding_where_icon\"\u00a0\"measuring_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
ArcGIS Insights: Scripting with Python and R<\/td>\n04:00 PM – 05:00 PM<\/td>\nMojave Learning Center<\/td>\nTechnical Session<\/td>\n\"automating_processes_icon\"<\/td>\n<\/tr>\n
Automating the Analysis of Road Construction Projects with ArcGIS and Python<\/td>\n04:00 PM – 04:30 PM<\/td>\nMesquite C<\/td>\nUser Presentation<\/td>\n\"automating_processes_icon\"<\/td>\n<\/tr>\n
Data Engineering in ArcGIS: Exploring, Transforming, and Integrating Data<\/td>\n05:30 PM – 06:30 PM<\/td>\nPrimrose C-D<\/td>\nTechnical Session<\/td>\n\"data_engineering_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n"},{"acf_fc_layout":"content","content":"

Friday, March 10<\/strong><\/p>\n\n\n\n\n\n\n\n\n
Session Title<\/strong><\/th>\nTime<\/strong><\/th>\nLocation<\/strong><\/th>\nType<\/strong><\/th>\nSpatial Analysis Concepts<\/strong><\/th>\n<\/tr>\n
ArcGIS Business Analyst: Data Enrichment at Scale<\/td>\n08:30 AM – 09:30 AM<\/td>\nMesquite B<\/td>\nTechnical Session<\/td>\n\"determining_related_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
Distributing Geoprocessing and Python Functionality<\/td>\n08:30 AM – 09:30 AM<\/td>\nPrimrose B<\/td>\nTechnical Session<\/td>\n\"automating_processes_icon\"<\/td>\n<\/tr>\n
ArcGIS Pro: Level Up with Python<\/td>\n10:00 AM – 11:00 AM<\/td>\nPrimrose A<\/td>\nTechnical Session<\/td>\n\"automating_processes_icon\"<\/td>\n<\/tr>\n
Analyzing Multidimensional Scientific Data using Python<\/td>\n10:00 AM – 11:00 AM<\/td>\nMesquite B<\/td>\nTechnical Session<\/td>\n\"detecting_patterns_icon\" \"making_predictions_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n
Leveraging Real-Time Capabilities in Your Apps<\/td>\n10:00 AM – 11:00 AM<\/td>\nSmoketree A-E<\/td>\nTechnical Session<\/td>\n\"understanding_where_icon\" \"automating_processes_icon\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n"}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/2023_DevSummit_Background_small.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/02\/2023_DevSummit_Background.jpg"},"yoast_head":"\nSpatial Analytics at the 2023 Esri Developer Summit<\/title>\n<meta name=\"description\" content=\"Check this guide for an overview of spatial analysis-related technical sessions and presentations at this year's DevSummit.\" \/>\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\/analytics\/spatial-analysis-and-data-science-at-the-2023-esri-developer-summit\" 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