{"id":1293892,"date":"2021-07-13T06:15:23","date_gmt":"2021-07-13T13:15:23","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1293892"},"modified":"2024-01-18T11:02:13","modified_gmt":"2024-01-18T19:02:13","slug":"spatial-analysis-and-data-science-at-the-2021-esri-user-conference","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/announcements\/spatial-analysis-and-data-science-at-the-2021-esri-user-conference","title":{"rendered":"Spatial Analysis and Data Science at the 2021 Esri User Conference"},"author":154341,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[37101],"tags":[761242],"industry":[],"product":[421922],"class_list":["post-1293892","blog","type-blog","status-publish","format-standard","hentry","category-announcements","tag-spatial-analysis-and-data-science","product-arcgis"],"acf":{"short_description":"Catch up on the latest and greatest in Spatial Analysis and Data Science at the 2021 Esri User Conference","flexible_content":[{"acf_fc_layout":"content","content":"

We are excited for you to virtually join us again for the 2021 Esri User Conference from Monday, July 12 to Thursday, July 15!\u00a0 What you see in the Plenary sessions only scratches the surface of the work we’ve done in the area of Spatial Analysis and Data Science in the past year.<\/p>\n

Whether you are interested in spatial statistics and machine learning, recent advances in geospatial AI, integrating the Python data science ecosystem with ArcGIS, suitability modeling, big spatial data analytics, or analyzing 3D data, we have a session for you!<\/p>\n

Check out the list of technical workshops below that take a deeper dive into all things Spatial Analysis and Data Science at the 2021 Esri User Conference.<\/p>\n

Monday, 7\/12<\/h2>\n

*All times\u00a0PDT<\/p>\n\n\n\n\n\n\n\n
ArcGIS Spatial Analyst: Suitability Modeler<\/a><\/td>\n12:30 p.m. \u2014 1:30 p.m.<\/td>\n<\/tr>\n
Spatial Data Science in ArcGIS<\/a><\/td>\n12:30 p.m. \u2014 1:30 p.m.<\/td>\n<\/tr>\n
ArcGIS Insights: An Introduction<\/a><\/td>\n1:45 p.m. \u2014 2:45 p.m.<\/td>\n<\/tr>\n
ArcGIS Spatial Analyst: Solving Real-World Problems<\/a><\/td>\n1:45 p.m. \u2014 2:45 p.m.<\/td>\n<\/tr>\n
ArcGIS: Python Overview<\/a><\/td>\n3:00 p.m. \u2014 4:00 p.m.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Tuesday, 7\/13<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n
ArcGIS Business Analyst: What’s New and Coming Soon<\/a><\/td>\n7:15 a.m. \u2014 8:15 a.m.<\/td>\n<\/tr>\n
ArcGIS Insights: Interactive Data Science and Analytics<\/a><\/td>\n7:15 a.m. \u2014 8:15 a.m.<\/td>\n<\/tr>\n
ArcGIS API for Python: An Introduction<\/a><\/td>\n11:45 a.m. \u2014 12:45 p.m.<\/td>\n<\/tr>\n
ArcGIS Online: Spatial Analysis<\/a><\/td>\n11:45 a.m. \u2014 12:45 p.m.<\/td>\n<\/tr>\n
Enhancing Qualitative Social Science Research with GIS<\/a><\/td>\n11:45 a.m. \u2014 12:45 p.m.<\/td>\n<\/tr>\n
Spatial Data Science: Data Visualization and Exploration<\/a><\/td>\n1:00 p.m. \u2014 2:00 p.m.<\/td>\n<\/tr>\n
ArcGIS Pro: An Overview of 3D Analysis<\/a><\/td>\n2:15 p.m. \u2014 3:15 p.m.<\/td>\n<\/tr>\n
ArcPy: An Introduction<\/a><\/td>\n2:15 p.m. \u2014 3:15 p.m.<\/td>\n<\/tr>\n
Living Atlas: Demographics for Visualization and Analysis<\/a><\/td>\n2:15 p.m. \u2014 3:15 p.m.<\/td>\n<\/tr>\n
Living Atlas: Environmental Content, Mapping, and Analysis Workflows<\/a><\/td>\n2:15 p.m. \u2014 3:15 p.m.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Wednesday, 7\/14<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n
ArcGIS GeoAnalytics: Spatiotemporal Analysis of Big Vector Data<\/a><\/td>\n7:30 a.m. \u2014 8:30 a.m.<\/td>\n<\/tr>\n
ArcGIS: Introduction to Deep Learning<\/a><\/td>\n7:30 a.m. \u2014 8:30 a.m.<\/td>\n<\/tr>\n
ArcGIS Pro: Analysis and Geoprocessing<\/a><\/td>\n10:00 a.m. \u2014 11:00 a.m.<\/td>\n<\/tr>\n
Big Data, Spatial Analytics and Machine Learning: Workflows and Applications<\/a><\/td>\n10:00 a.m. \u2014 11:00 a.m.<\/td>\n<\/tr>\n
ModelBuilder: Tips and Tricks<\/a><\/td>\n11:15 a.m. \u2014 12:15 p.m.<\/td>\n<\/tr>\n
Spatial Data Science: What’s New in Time Series Analysis<\/a><\/td>\n11:15 a.m. \u2014 12:15 p.m.<\/td>\n<\/tr>\n
Spatial Analysis & Data Science: The Road Ahead<\/a><\/td>\n12:30 p.m. \u2014 1:30 p.m.<\/td>\n<\/tr>\n
ArcGIS 3D Analyst: Lidar Classification and Feature Extraction<\/a><\/td>\n1:45 p.m. \u2014 2:45 p.m.<\/td>\n<\/tr>\n
Geospatial Deep Learning Using the ArcGIS API for Python<\/a><\/td>\n1:45 p.m. \u2014 2:45 p.m.<\/td>\n<\/tr>\n
Spatial Statistics: What’s New<\/a><\/td>\n1:45 p.m. \u2014 2:45 p.m.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Learn more about Spatial Analysis and Data Science<\/h1>\n

You can learn more by checking out Jack’s Q&A for Spatial Analysis and Data Science <\/strong><\/a>this year.\u00a0 You can also view previous Esri User Conference presentations and try out hands-on tutorials related to spatial analysis and data science on the Esri Spatial Statistics resources page<\/a>.<\/p>\n

Connect with the Spatial Analysis and Data Science team!<\/h1>\n

This year\u2019s virtual User Conference provides opportunities to connect with our spatial analysis<\/a> and data science experts to ask questions and learn more.\u00a0 Each technical workshop is followed by a live Q&A<\/strong> with the presenters, so be sure to stick around and ask questions.<\/p>\n

Throughout the User Conference, you can also visit presenters\u2019 and experts\u2019 profiles to connect directly with them via chat<\/strong> or to schedule a one-on-one meeting<\/strong>.\u00a0 If you have general questions about the User Conference, or need help figuring out who to contact directly, you can seek guidance and support at the Virtual Info Desk<\/strong><\/a>.<\/p>\n

We are looking very forward to talking to you, learning about what you’ve been working on, and sharing everything we\u2019ve been working on this year!<\/p>\n"}],"authors":[{"ID":154341,"user_firstname":"Nicholas","user_lastname":"Giner","nickname":"Nick Giner","user_nicename":"nginer","display_name":"Nicholas Giner","user_email":"NGiner@esri.com","user_url":"","user_registered":"2021-01-07 14:31:25","user_description":"Nick Giner is a Product Manager for Spatial Analysis and Data Science. Prior to joining Esri in 2014, he completed Bachelor\u2019s and PhD degrees in Geography from Penn State University and Clark University, respectively. In his spare time, he likes to play guitar, golf, cook, cut the grass, and read\/watch shows about history.","user_avatar":""}],"related_articles":[{"ID":1290852,"post_author":"10272","post_date":"2021-07-12 11:25:33","post_date_gmt":"2021-07-12 18:25:33","post_content":"","post_title":"Learn about web tools and geoprocessing services at UC 2021","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"learn-about-web-tools-and-geoprocessing-services-at-uc-2021","to_ping":"","pinged":"","post_modified":"2021-07-12 11:25:33","post_modified_gmt":"2021-07-12 18:25:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1290852","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/07\/UC_2021_SADS_blog.png","wide_image":false},"yoast_head":"\nSpatial Analysis and 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