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Tool ReferenceGeoprocessing ToolsSpatial Statistics toolbox

An overview of the Spatial Statistics toolbox

An overview of the Spatial Statistics toolbox Spatial Statistics toolbox licensing Spatial Statistics toolbox history Spatial Statistics toolbox sample applications Modeling spatial relationships Best practices for selecting a fixed distance band value What is a z-score? What is a p-value?

Analyzing Patterns toolset

An overview of the Analyzing Patterns toolset Average Nearest Neighbor High Low Clustering (Getis-Ord General G) Incremental Spatial Autocorrelation Multi-Distance Spatial Cluster Analysis (Ripley's K Function) Spatial Autocorrelation (Global Moran's I) Analyzing Patterns toolset concepts

Mapping Clusters toolset

An overview of the Mapping Clusters toolset Build Balanced Zones Calculate Composite Index Cluster and Outlier Analysis (Anselin Local Moran's I) Density-based Clustering Hot Spot Analysis (Getis-Ord Gi*) Hot Spot Analysis Comparison Multivariate Clustering Optimized Hot Spot Analysis Optimized Outlier Analysis Similarity Search Spatial Outlier Detection Spatially Constrained Multivariate Clustering Mapping Clusters toolset concepts

Measuring Geographic Distributions toolset

An overview of the Measuring Geographic Distributions toolset Central Feature Directional Distribution (Standard Deviational Ellipse) Linear Directional Mean Mean Center Median Center Neighborhood Summary Statistics Standard Distance Measuring Geographic Distributions toolset concepts

Modeling Spatial Relationships toolset

An overview of the Modeling Spatial Relationships toolset Colocation Analysis Exploratory Regression Forest-based Classification and Regression Generalized Linear Regression Generate Network Spatial Weights Generate Spatial Weights Matrix Geographically Weighted Regression (GWR) Local Bivariate Relationships Multiscale Geographically Weighted Regression (MGWR) Ordinary Least Squares (OLS) Predict Using Spatial Statistics Model File Presence-only Prediction (MaxEnt) Spatial Association Between Zones Modeling Spatial Relationships toolset concepts

Utilities toolset

An overview of the Utilities toolset Calculate Distance Band from Neighbor Count Collect Events Convert Spatial Weights Matrix to Table Describe Spatial Statistics Model File Dimension Reduction Export Feature Attribute To ASCII Set Spatial Statistics Model File Properties Time Series Smoothing Utilities toolset concepts
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Robust Probabilities

This ArcGIS 3.1 documentation has been archived and is no longer updated. Content and links may be outdated. See the latest documentation.
Robust Probabilities
The OLS tool computes standard errors and coefficient probabilities that are robust to nonstationarity.

If the Koenker test is statistically significant (*), consult the robust probabilities to assess whether your model explanatory variables are statistically significant or not.

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