"}],"short_description":"Spatial Statistics (and more!) at the 2026 Esri User Conference","flexible_content":[{"acf_fc_layout":"content","content":"We\u2019re excited to see you at the 2026 Esri User Conference! \u00a0Spatial Statistics in ArcGIS Pro can supercharge any analysis by providing insight into the structure of the data, identifying meaningful patterns in space and time, modeling spatial relationships between variables, and making predictions. Attend the technical workshops and engage with us at the showcase to learn about spatial analysis and data science, ask your questions, and preview our latest tools and methods released in ArcGIS Pro 3.7.<\/p>\n
Visit us at the showcase with your spatial statistics and analysis questions. You can find us in the Analytics area from Tuesday, July 14 to Thursday, July 16. We enjoy hearing about all the ways you\u2019re using the spatial statistics tools in ArcGIS Pro, so stop-by for a chat and share your insights and ideas!<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2975201,"id":2975201,"title":"Screenshot 2026-07-06 195456","filename":"Screenshot-2026-07-06-195456.jpg","filesize":50932,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Screenshot-2026-07-06-195456.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/spatial-statistics-at-the-2026-esri-user-conference\/screenshot-2026-07-06-195456","alt":"map of UC Exp Hall showing location of Spatial Statistics","author":"437350","description":"","caption":"","name":"screenshot-2026-07-06-195456","status":"inherit","uploaded_to":2975195,"date":"2026-07-06 23:56:10","modified":"2026-07-06 23:56:26","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":443,"height":520,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Screenshot-2026-07-06-195456-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Screenshot-2026-07-06-195456.jpg","medium-width":222,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Screenshot-2026-07-06-195456.jpg","medium_large-width":443,"medium_large-height":520,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Screenshot-2026-07-06-195456.jpg","large-width":443,"large-height":520,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Screenshot-2026-07-06-195456.jpg","1536x1536-width":443,"1536x1536-height":520,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Screenshot-2026-07-06-195456.jpg","2048x2048-width":443,"2048x2048-height":520,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Screenshot-2026-07-06-195456-396x465.jpg","card_image-width":396,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Screenshot-2026-07-06-195456.jpg","wide_image-width":443,"wide_image-height":520}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
Tuesday, Jul 14 <\/span>8:30 AM – 9:30 AM PDT<\/span><\/p>\n Friday, Jul 17 <\/span>9:00 AM – 10:00 AM PDT<\/span><\/p>\n Spatial data science is an iterative process that extends beyond the running of one tool\u2014it is about posing questions, figuring out the appropriate data to answer those questions, finding the appropriate methods that truly answer those questions, evaluating the results, iterating until you get it right, and communicating results in compelling and effective ways. In this presentation, speakers share examples of applying this process to an important, real-world problem. The examples provide ideas and approaches to help you connect it all back to the problems that you want to help solve.<\/p>\n <\/p>\n Tuesday, Jul 14 <\/span>1:00 PM – 1:45 PM PDT<\/span><\/p>\n Join us to step through the Spatial Statistics toolbox in ArcGIS Pro and explore a variety of example applications and range of questions that can be answered. The capabilities include describing the spatial distribution of your data, mining for spatial and multivariate patterns, and making spatially informed predictions. If you are new to spatial statistics, this presentation is a great way to familiarize yourself with these powerful tools and methods. If you have been using spatial statistics for a while, come discover some of the latest advancements.<\/p>\n <\/p>\n Spotlight Session – requires reservation<\/p>\n Wednesday, Jul 15 <\/span>8:30 AM – 11:00 AM PDT<\/span><\/p>\n Join fellow analysts to explore the latest trends and innovations in spatial data science. Engage with industry experts, gain insights into emerging technologies, and discover new opportunities for informed decision-making. Experience live demonstrations of ArcGIS analysis capabilities, from data engineering to spatial machine learning. Don’t miss this chance to learn more about transforming data into actionable information and overcoming challenges with spatial context.<\/p>\n <\/p>\n Tuesday, Jul 14 <\/span>2:30 PM – 3:30 PM PDT<\/span><\/p>\n Join us to learn how to uncover relationships and patterns using various regression techniques. Explore the fundamentals of linear regression and using geography to explore how relationships vary spatially. Also, learn about the new Causal Inference Analysis tool, which applies methods that allow you to go beyond the adage \u201ccorrelation does not imply causation.\u201d<\/p>\n <\/p>\n Wednesday, Jul 15 <\/span>2:30 PM – 3:30 PM PDT<\/span><\/p>\n Thursday, Jul 16 <\/span>8:30 AM – 9:30 AM PDT<\/span><\/p>\n Modeling helps uncover patterns to explain events and predict values and occurrences. This presentation reviews random forest, XGBoost, and methods to evaluate prediction models. Explore the Presence-Only Prediction tool, which uses a maximum entropy approach to predict the location of phenomena with only known presence data. Finally, learn about a method for estimating time until an event occurs. Throughout this presentation, speakers emphasize making these methods accessible through clear, conceptual explanations.<\/p>\n <\/p>\n Thursday, Jul 16 <\/span>1:00 PM – 2:00 PM PDT<\/span><\/p>\n Whenever we look at a map, we naturally organize and cluster what we see to make better sense of it. Join us for an introduction to tools in ArcGIS Pro that identify clusters in space, attribute values, and time. This presentation discusses statistical techniques such as hot spot and outlier analysis, including new methods to assess sensitivity to attribute uncertainty in your results, and machine learning clustering techniques that include density-based and spatial multivariate clustering. Speakers explain each technique conceptually and describe its use in workflows.<\/p>\n <\/p>\n Tuesday, Jul 14 <\/span>10:00 AM – 11:00 AM PDT<\/span><\/p>\n As spatial data science and AI become increasingly critical in our decision-making processes, it has never been more important to consider the ethical implications of our analyses. This presentation introduces a framework for spatial analysis and AI that is intersectional and community- and justice-centered; has a foundation of equity and inclusion; and promotes accountability and transparency. Learn how to ensure that equity and ethics are central to the design, evaluation, and communication of your spatial data science work.<\/p>\n <\/p>\n Tuesday, Jul 14 <\/span>10:00 AM – 10:45 AM PDT<\/span><\/p>\n The spatial analysis possibilities across ArcGIS are endless, but what is the one foundational piece that every analysis has in common? Data engineering. Learn how advances in ArcGIS Pro are making this process more effective. Discover how the Data Engineering view, charts, and mapping allow you to visualize and examine data, and then explore how the Data Engineering view and geoprocessing tools help you clean and prepare your data to make it analysis-ready.<\/p>\n <\/p>\n Thursday, Jul 16 <\/span>2:30 PM – 3:15 PM PDT<\/span><\/p>\n Metrics such as equity, vulnerability, sustainability, and risk are crucial for organizations to evaluate needs, track progress, and allocate resources. Creating these metrics involves combining multiple variables into a composite index, which may seem straightforward but can present challenges. This presentation teaches you best practices for using the Calculate Composite Index tool in ArcGIS Pro, leaving you equipped with the skills to create robust indices to help make better decisions.<\/p>\n <\/p>\n Thursday, Jul 16 <\/span>10:00 AM – 11:00 AM PDT<\/span><\/p>\n Spatial data science workflows guide decision-making across organizations, but most analyses downplay the impact of analytical uncertainty. Analytical uncertainty comes in many forms, including attribute uncertainty (for example, uncertain results from survey estimates) and aggregation uncertainty (for example, questioning the scale of your analysis). This technical session introduces the Assessing Sensitivity toolset and methods to help GIS professionals embrace and use uncertainty in their analysis.<\/p>\n <\/p>\n Thursday, Jul 16 <\/span>4:00 PM – 5:00 PM PDT<\/span><\/p>\n Working with space-time data can be challenging, but with the right tools, it unlocks solutions to today\u2019s pressing issues. This presentation guides you in managing space-time data through space-time cubes, revealing spatiotemporal patterns. Explore new visualization techniques for space-time cubes and learn about analysis tools that offer insights into temporal dependencies within diverse datasets. Also, draw insights from historic data using ArcGIS Pro’s Time Series Forecasting tools to better prepare for the future.<\/p>\n <\/p>\n<\/div>\n<\/div>\n Tuesday, Jul 14 <\/span>8:30 AM – 9:30 AM PDT<\/span><\/p>\n Did you know that you can solve complex problems by integrating the spatial analysis and mapping capabilities of ArcGIS with thousands of open-source R libraries? Discover the newest R-ArcGIS Bridge and learn how to incorporate R capabilities into many workflows across the ArcGIS system, including downloading ArcGIS Survey123 attachments, geocoding thousands of addresses, and deploying custom geoprocessing services to ArcGIS Enterprise.<\/p>\n <\/p>\n Tuesday, Jul 14 <\/span>4:00 PM – 4:45 PM PDT<\/span><\/p>\n Kriging is the most widely used interpolation method in GIS. Speakers provide a solid foundation of this method and share best practices, assumptions of the methods, and how to interpret the results. See how Empirical Bayesian Kriging (EBK) allows accurate interpolation with minimal options in both 2D and 3D. In 2D, learn how to use explanatory variables to improve the interpolation. In 3D, learn how to explore the results as a continuous voxel layer.<\/p>\n <\/p>\n Interested in further exploring AI & emerging analytical workflows? These sessions, led by other Esri teams, complement many of the topics covered in Spatial Statistics and may be of interest to attendees looking to expand their analytical toolkit.\u00a0<\/span><\/p>\n <\/p>\n Spotlight Session – requires reservation<\/p>\n Tuesday, Jul 14 <\/span>8:30 AM – 11:00 AM PDT<\/span><\/p>\n Join us to see how ArcGIS, enhanced with AI, is transforming GIS workflows. Learn how AI models help extract and analyze data faster at scale, while geospatial context strengthens AI decisions. Discover how AI assistants boost productivity and accessibility directly within ArcGIS apps and experiences, and how agentic AI enables automation and integration across systems using standards like MCP. Watch live demos, hear from Esri leaders, and explore how to adopt AI confidently while maintaining trusted, enterprise-grade GIS.<\/p>\n <\/p>\n Tuesday, Jul 14 <\/span>1:00 PM – 2:00 PM PDT<\/span><\/p>\n Wednesday, Jul 15 <\/span>8:30 AM – 9:30 AM PDT<\/span><\/p>\n Friday, Jul 17 <\/span>9:00 AM – 10:00 AM PDT<\/span><\/p>\n Interested in learning more about geospatial artificial intelligence (GeoAI) in ArcGIS? GeoAI is the integration of AI, machine learning (ML), and deep learning (DL) with GIS to produce knowledge and solve geographic problems. It is a key part of spatial analysis for tasks related to clustering and pattern detection, prediction and forecasting, and information extraction from many types of data. This presentation highlights the application of ArcGIS GeoAI capabilities across imagery, 3D, unstructured text, and feature, tabular, and time-series data and workflows.<\/p>\n <\/p>\n Wednesday, Jul 15 <\/span>2:30 PM – 3:30 PM PDT<\/span><\/p>\n Geospatial foundation models offer new ways to learn from large, diverse, and often unlabeled geospatial datasets. This presentation explores how geospatial artificial intelligence (GeoAI) is evolving to integrate foundation models into analytical workflows. Topics include remote sensing foundation models, location embeddings, and geospatial vision-language models, with an overview of how Esri is working in this space. Speakers also discuss how embeddings work in geospatial analysis and the potential implications for environmental, urban, and other application areas.<\/p>\n <\/p>\n Tuesday, Jul 14 <\/span>4:00 PM – 5:00 PM PDT<\/span><\/p>\n ArcGIS Spatial Analyst is widely used by numerous organizations daily for spatial modeling and analyzing raster data and images to solve common real-world problems. Join us to explore how to analyze terrains, select the best locations, discover spatial patterns, find the best routes, manage risk, and detect patterns. Discover how this functionality enhances your analyses and stay updated on the latest improvements.<\/p>\n <\/p>\n Tuesday, Jul 14 <\/span>1:00 PM – 1:45 PM PDT<\/span><\/p>\n With ArcGIS Business Analyst, you obtain data through the ArcGIS GeoEnrichment service and locally installed datasets. You can access tens of thousands of Esri-published variables for countries around the world and also add maps and data from ArcGIS Living Atlas of the World. In this demo theater presentation, discover what data is available, how it is sourced, and how you can use Esri and ArcGIS Living Atlas data within analyses, infographics, and workflows.<\/p>\n <\/p>\n Tuesday, Jul 14 <\/span>10:00 AM – 11:00 AM PDT<\/span><\/p>\n Tuesday, Jul 14 <\/span>2:30 PM – 3:30 PM PDT<\/span><\/p>\n Discover how ArcGIS Knowledge transforms and connects enterprise data into a living network of insights. Learn the foundations of building and exploring knowledge graphs to uncover hidden relationships between people, places, events, and assets. This technical session introduces the key concepts, data integration patterns, and visualization tools that help analysts accelerate investigations and situational awareness by combining spatial and nonspatial data. ArcGIS Knowledge extends ArcGIS Enterprise and enables new user experiences across desktop and web applications and developer tools.<\/p>\n <\/p>\nSpatial Statistics Overview: From Means and Medians to Machine Learning<\/a><\/h2>\n
Analytics and Data Science and ArcGIS<\/a><\/h2>\n
Predictive Analysis: Exploring Relationships with Regression and Causal Analysis<\/a><\/h2>\n
Predictive Analysis: Modeling Data Using Statistics and Machine Learning<\/a><\/h2>\n
Pattern Analysis: Finding Clusters Using Statistics and Machine Learning<\/a><\/h2>\n
Equity and Ethics in Spatial Analysis and AI<\/a><\/h2>\n
Data Engineering in ArcGIS Pro: Preparing Data for Spatial Analysis<\/a><\/h2>\n
Creating a Composite Index: Combining Variables to Make Better Decisions<\/a><\/h2>\n
Sensitivity Analysis: Embracing Uncertainty in Analysis Results<\/a><\/h2>\n
Space-Time Analysis: Exploring Spatiotemporal Patterns and Forecasting<\/a><\/h2>\n
Putting the R in ArcGIS<\/a><\/h2>\n
ArcGIS Geostatistical Analyst: Spatial Interpolation Using Kriging<\/a><\/h2>\n
Related Analytics & GeoAI Sessions<\/span><\/h1>\n
AI and ArcGIS<\/a><\/h2>\n
ArcGIS: GeoAI<\/a><\/h2>\n
Geospatial Foundation Models and Embeddings<\/a><\/h2>\n
ArcGIS Spatial Analyst: An Overview<\/a><\/h2>\n
ArcGIS Business Analyst: Understanding Demographic and Place-Based Data<\/a><\/h2>\n
ArcGIS Knowledge: Connecting Data and Analyzing Relationships<\/a><\/h2>\n
Deep Learning in ArcGIS: From Foundations to Real-World Applications<\/a><\/h2>\n