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AnalysisGeoprocessing ToolsSpatial Statistics toolbox

An overview of the Spatial Statistics toolbox

An overview of the Spatial Statistics toolbox 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

Assessing Sensitivity toolset

An overview of the Assessing Sensitivity toolset Assess Sensitivity to Attribute Uncertainty Assessing Sensitivity 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) Directional Trend 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 Bivariate Spatial Association (Lee's L) Causal Inference Analysis Colocation Analysis Exploratory Regression Forest-based and Boosted 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

Spatial Component Utilities (Moran Eigenvectors)

An overview of the Spatial Component Utilities (Moran Eigenvectors) toolset Compare Neighborhood Conceptualizations Create Spatial Component Explanatory Variables Decompose Spatial Structure (Moran Eigenvectors) Filter Spatial Autocorrelation From Field Spatial Component Utilities (Moran Eigenvectors) concepts

Utilities toolset

An overview of the Utilities toolset Calculate Distance Band from Neighbor Count Calculate Rates Collect Events Convert Spatial Statistics Popup Charts for Web Display 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

Neighborhood Explorer

Introduction to Neighborhood Explorer Get started with Neighborhood Explorer Open Neighborhood Explorer Configure conceptualizations of spatial relationships Explore neighborhoods Edit neighborhoods Load and save spatial weights matrix files
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Residual Histogram

AllSource 1.3    |
1.31.21.11.0
Histogram of Model Residuals
Model residuals should be normally distributed.

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