ArcGIS

Spatial Analytics at the 2023 Esri Developer Summit

We’re very excited to connect with users at the 2023 Esri Developer Summit 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.

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.  This includes understanding where locations, incidents, or patterns are; as well as measuring the size, shape, and distribution of geographic features or sets of features.  Then there’s determining how places are related to each other (closest, within, etc), as well as finding the best locations and paths such as which areas satisfy criteria or which is the fastest route.  And going further – detecting and quantifying patterns such as hot spots and change in patterns over time, and finally making predictions so that issues can be anticipated and possibly mitigated before they occur.  These core questions are all part of the language of spatial analysis.

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.  The guide also includes whether the session discusses other important concepts that are often part of spatial analysis workflows, such as data engineering and process automation (scripting, job scheduling, etc).

If you haven’t registered yet, check out your registration options here. Follow us on Twitter for the latest updates.  Hope to see you there!

Legend: Spatial Analysis Concepts

All times PST. All locations reference the Palm Springs Convention Center and the Renaissance Marriott.

Tuesday, March 7

Session Title Time Location Type Spatial Analysis Concepts
Spatial Data Science in ArcGIS 01:00 PM – 02:00 PM Primrose B Technical Session  general
Spatial Data Science with ArcGIS Notebooks 02:30 PM – 03:30 PM Primrose B Technical Session  general
ArcGIS Velocity: An Introduction 04:00 PM – 05:00 PM Primrose B Technical Session understanding_where_icon automating_processes_icon
Spatial Analysis using ArcGIS API for Python 05:30 PM – 06:30 PM Smoketree A-E Technical Session understanding_where_icon automating_processes_icon
ArcGIS Insights: Cloud Analytics With Big Data 05:30 PM – 06:30 PM Mesquite C Technical Session data_engineering_icon

Wednesday, March 8

Session Title Time Location Type Spatial Analysis Concepts
Data Frames 10:30 AM – 11:30 AM Pasadena/Sierra/Ventura Technical Session data_engineering_icon automating_processes_icon
Building Web Applications and Notebooks with ArcGIS Knowledge 10:30 AM – 11:30 AM Mesquite C Technical Session determining_related_icon automating_processes_icon
Data Visualization for Spatial Analysis with ArcPy Charts 10:30 AM – 11:00 AM Demo Theater 1 Oasis 1 & 2 Demo Theater detecting_patterns_icon
Find What You Are Looking For: Optimizing Search and Filtering in Apps 10:30 AM – 11:00 AM Demo Theater 2 Oasis 1 & 2 Demo Theater understanding_where_icon
Spatial Data Science Explained: Foundations and Innovations in Regression 11:15 AM – 11:45 AM Demo Theater 1 Oasis 1 & 2 Demo Theater making_predictions_icon
Working with Spatially Enabled Dataframes (SeDF) 01:00 PM – 01:30 PM Demo Theater 3 Mesquite D-E Demo Theater understanding_where_icon
Python Toolboxes for Developers and Novice Users 01:00 PM – 01:30 PM Mesquite B User Presentation automating_processes_icon
Isolation Tracing as a Service: A Custom ArcPy Solution for Water Networks 01:00 PM – 01:30 PM Mesquite C User Presentation understanding_where_icon
Developing a Hydrological Modeling Utility Tool Using ArcGIS Pro SDK 01:45 PM – 02:15 PM Mesquite C User Presentation measuring_icon
Analyzing Multidimensional Features using Python 02:30 PM – 03:00 PM Demo Theater 1 Oasis 1 & 2 Demo Theater detecting_patterns_icon automating_processes_icon
Working with Time Data in ArcGIS Online 03:15 PM – 03:45 PM Demo Theater 3 Mesquite D-E Demo Theater detecting_patterns_icon
Leverage the Power of Arrow in ArcGIS 03:15 PM – 03:45 PM Demo Theater 1 Oasis 1 & 2 Demo Theater data_engineering_icon automating_processes_icon
ArcPy: Working with Raster Data 04:00 PM – 05:00 PM San Jacinto Technical Session detecting_patterns_icon automating_processes_icon
Automating the Extraction of Information from Imagery Using Deep Learning 04:00 PM – 05:00 PM Primrose B Technical Session making_predictions_icon automating_processes_icon
Enabling Customer Analytics with ArcGIS Enterprise and ArcGIS for Javascript API 04:45 PM – 05:15 PM Mesquite C User Presentation measuring_icon
GeoAnalytics Engine: Custom Analysis in Your Cloud Environment 04:45 PM – 05:15 PM Demo Theater 1 Oasis 1 & 2 Demo Theater determining_related_icon finding_locations_icon detecting_patterns_icon making_predictions_icon
Harnessing the Power of R in ArcGIS with R-ArcGIS Bridge 05:30 PM – 06:30 PM San Jacinto Technical Session making_predictions_icon
ArcGIS Maps SDK for JavaScript: Real-Time Data Visualization and Analytics 05:30 PM – 06:30 PM Pasadena/Sierra/Ventura Technical Session understanding_where_icon
Advanced Analysis of Satellite Imagery Using Python 05:30 PM – 06:30 PM Primrose B Technical Session detecting_patterns_icon automating_processes_icon

Thursday, March 9

Session Title Time Location Type Spatial Analysis Concepts
Working with Geometries in ArcGIS API for Python 10:30 PM – 11:00 PM Demo Theater 1 Oasis 1 & 2 Demo Theater measuring_icon automating_processes_icon
Creating Geoprocessing Tools 01:00 PM – 02:00 PM Primrose A Technical Session automating_processes_icon
GeoAnalytics Engine: Big Data and Spatial Analysis 02:30 PM – 03:30 PM San Jacinto Technical Session determining_related_icon finding_locations_icon detecting_patterns_icon making_predictions_icon
Geospatial Deep Learning with ArcGIS 02:30 PM – 03:30 PM Primrose C-D Technical Session making_predictions_icon data_engineering_icon
ArcGIS Pro: The Road Ahead 02:30 PM – 03:30 PM Pasadena/Sierra/Ventura Technical Session  general
Spatially-Enabled DataFrames v GeoPandas: Comparing Python Geospatial Frameworks 03:15 PM – 03:45 PM Comparing Python Geospatial Frameworks – Mesquite C User Presentation data_engineering_icon automating_processes_icon
ArcGIS Velocity: Stateful Real-Time Analytics with Arcade 03:15 PM – 03:45 PM Demo Theater 1 Oasis 1 & 2 Demo Theater understanding_where_icon measuring_icon automating_processes_icon
ArcGIS Insights: Scripting with Python and R 04:00 PM – 05:00 PM Mojave Learning Center Technical Session automating_processes_icon
Automating the Analysis of Road Construction Projects with ArcGIS and Python 04:00 PM – 04:30 PM Mesquite C User Presentation automating_processes_icon
Data Engineering in ArcGIS: Exploring, Transforming, and Integrating Data 05:30 PM – 06:30 PM Primrose C-D Technical Session data_engineering_icon automating_processes_icon

Friday, March 10

Session Title Time Location Type Spatial Analysis Concepts
ArcGIS Business Analyst: Data Enrichment at Scale 08:30 AM – 09:30 AM Mesquite B Technical Session determining_related_icon automating_processes_icon
Distributing Geoprocessing and Python Functionality 08:30 AM – 09:30 AM Primrose B Technical Session automating_processes_icon
ArcGIS Pro: Level Up with Python 10:00 AM – 11:00 AM Primrose A Technical Session automating_processes_icon
Analyzing Multidimensional Scientific Data using Python 10:00 AM – 11:00 AM Mesquite B Technical Session detecting_patterns_icon making_predictions_icon automating_processes_icon
Leveraging Real-Time Capabilities in Your Apps 10:00 AM – 11:00 AM Smoketree A-E Technical Session understanding_where_icon automating_processes_icon

About the authors

Suzanne is the Product Manager for Esri's Real-Time Visualization & Analytics capability. She has worked in the geographic information systems industry for over 15 years with a focus on spatiotemporal analysis, real-time processing, and workflow automation.

I'm the Lead Product Marketing Manager for Esri's Imagery and Spatial Data Science products. I've loved every moment of my eight years with Esri, where I've had the opportunity to learn from and inspire data and imagery enthusiasts on the advantage GIS can bring to their analysis.

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