ArcGIS Pro

Spatial Statistics at the 2022 Esri User Conference

We’re excited to meet you at the 2022 Esri User Conference!  Spatial 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. At the 2022 User Conference, we’ll demonstrate all these techniques. Attend the Spatial Statistics, Geostatistical Analyst, and R-ArcGIS Bridge technical workshops and engage with us at the showcase to learn about Spatial Statistics, ask your questions, and preview our latest set of tools released in ArcGIS Pro 3.0.

Showcase

Visit us at the showcase with your spatial statistics and analysis questions. You can find us at our island from Tuesday, July 12 to Thursday, July 14. We enjoy hearing about all the ways you’re using the spatial statistics tools in ArcGIS Pro, so stop-by for a chat and share your insights and ideas!

spatial statistics showcase 2022

Workshops

Spatial Statistics: Making Predictions
4 – 5 pm                                                       Room 05A

Join us at this workshop to learn about several spatial statistics techniques that model data to explain events and predict values and occurrences. We will cover Geographically Weighted Regression, Forest-based Classification and Regression, and Presence-Only Prediction.

Geostatistical Analyst: Concepts and Applications of Kriging

8:30 – 9:30 am                                               Room 05A

Join us at this workshop to learn about kriging. We will cover Empirical Bayesian Kriging (EBK) in 2D and 3D.

 

Spatial Statistics: Analyzing Space-Time Data

10 – 11 am                                                       Room 05A

Join us at this workshop to learn about working with space-time cubes. We will cover how to prepare and aggregate data into a space-time cube and how to analyze time series in a space-time cube using Change Point Detection and forecasting tools.

 

Applying Spatial Data Science: A Complete Workflow

1 -2 pm                                                           Room 09

Join us at this session to view an entire analysis workflow. We will demonstrate how to prepare, explore and visualize data, evaluate models, and make predictions that ultimately drive action.

 

Data Engineering and Visualization for Spatial Data Science

2:30 – 3:30 pm                                            Room 31ABC

Join us at this workshop to learn how to explore and prepare your data using the Data Engineering view and Charts in ArcGIS Pro. We will cover how to use descriptive techniques, charts, and visualization to understand and present data.

Thursday

Spatial Statistics: Statistical Cluster Analysis

8:30 – 9:30 am                                               Room 16A

Join us at this workshop to learn about spatial statistics techniques that organize and cluster data in space and time. We will cover Hot Spot Analysis, Cluster and Outlier Analysis, Local Outlier Analysis, and Emerging Hot Spot Analysis.

 

Spatial Statistics: Analyzing Space-Time Data

10 – 11 am                                                        Room 10

Join us at this workshop to learn about working with space-time cubes. We will cover how to prepare and aggregate data into a space-time cube and how to analyze time series in a space-time cube using Change Point Detection and forecasting tools.

 

A Tour of the R-ArcGIS Bridge

12:15 – 1:00 pm                         Expo Demo Theater 01

Join us at this workshop to learn how to bridge the spatial analysis powers of ArcGIS with the cutting-edge libraries for statistical analysis in R. We will cover how to use R-ArcGIS bridge in your workflows.

 

Spatial Statistics: Machine Learning-Based Cluster Analysis

1 – 2 pm                                                         Room 16A

Join us at this workshop to learn about several techniques in Spatial Statistics that leverage machine learning methods to perform cluster analysis. We will cover Multivariate Clustering, Build Balanced Zones, and enhancements to Density Based Clustering to identify clusters in space and time.

 

Geostatistical Analyst: Concepts and Applications of kriging

2:30 – 3:30 pm                                             Room 16A

Join us at this workshop to learn about kriging. We will cover Empirical Bayesian Kriging (EBK) in 2D and 3D.

 

Spatial Statistics: Making Predictions

4 -5 pm                                                           Room 15B

Join us at this workshop to learn about several techniques in spatial statistics that model data to explain events and predict values and occurrences. We will cover Geographically Weighted Regression, Forest-based Classification and Regression, and Presence-Only Prediction.

 

Data Engineering and Visualization for Spatial Data Science

4 – 5 pm                                                         Room 16A

Join us at this workshop to learn how to explore and prepare your data using the Data Engineering view and Charts in ArcGIS Pro. We will cover how to use descriptive techniques, charts, and visualization to understand and present data.

 

Using Spatial Analysis to Reveal and Address Inequalities

4 – 5 pm                                                        Room 02

Join us at this workshop to learn the best practices for applying spatial analysis to address questions on equity. We will cover best practices on how to frame your question, data considerations, and example workflows.

Spatial Statistics: Statistical Cluster Analysis

9:00 – 10:00 am                                              Room 03

Join us at this workshop to learn about spatial statistics techniques that organize and cluster data in space and time. We will cover Hot Spot Analysis, Cluster and Outlier Analysis, Local Outlier Analysis, and Emerging Hot Spot Analysis.

Resources

Learn more about spatial statistics in ArcGIS Pro by checking out our content on the Spatial Statistics Resources page.

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