Package com.esri.arcgis.geoprocessing.tools.spatialstatisticstools

The Spatial Statistics toolbox contains statistical tools for analyzing the distribution of geographic features: finding the geographic center, identifying statistically significant spatial clusters (hot spots) or outliers, assessing overall patterns of clustering or dispersion, and so on.

See:
Description

Class Summary

AverageNearestNeighbor	Calculates a nearest neighbor index based on the average distance from each feature to its nearest neighboring feature.
CalculateAreas	Calculates Area values for each feature in a polygon feature class.
CalculateDistanceBand	This tool calculates the distance for all features in the input feature class to their nth neighbor (specified in the Neighbors parameter).
CentralFeature	Identifies the most centrally located feature in a point, line, or polygon feature class.
ClustersOutliers	Given a set of weighted data points, identifies those clusters of points with values similar in magnitude and those clusters of points with very heterogeneous values.
ClustersOutliersRendered	Given a set of weighted data points, identifies those clusters of points with values similar in magnitude and those clusters of points with very heterogeneous values, then applies a cold-to-hot type of rendering.
CollectEvents	Converts event data, such as crimes or disease incidents, to weighted point data The Collect Events tool is contained in the Spatial Statistics Tools tool box.
CollectEventsRendered	Converts event data to weighted point data and applies a graduated circle rendering to the count field.
CountRenderer	Applies graduated circle rendering to a count type field of a point feature class.
DirectionalDistribution	Measures whether a distribution of features exhibits a directional trend (whether features are farther from a specified point in one direction than in another direction).
DirectionalMean	Identifies the general (mean) direction for a set of lines.
ExportXYv	Exports feature class coordinates and attribute values to a space-, comma-, or semicolon-delimited ASCII text file.
HighLowClustering	Measures the degree of clustering for either high values or low values The High/Low Clustering (Getis-Ord General G) tool is contained in the Spatial Statistics Tools tool box.
HotSpots	Calculates the Getis-Ord Gi* statistic for hot spot analysis.
HotSpotsRendered	Calculates Gi* statistics and applies a cold-to-hot type of rendering to the output z scores.
MeanCenter	Identifies the geographic center (or the center of concentration) for a set of features.
MultiDistanceSpatialClustering	The Multi-Distance Spatial Cluster Analysis (Ripleys K Function) tool is contained in the Spatial Statistics Tools tool box.
SpatialAutocorrelation	Measures spatial autocorrelation based on feature locations and attribute values.
StandardDistance	Measures the degree to which features are concentrated or dispersed around the points (or feature centroids) in an input feature class.
ZRenderer	Applies a cold-to-hot graduated color rendering to a field of z scores.

Package com.esri.arcgis.geoprocessing.tools.spatialstatisticstools Description

The Spatial Statistics toolbox contains statistical tools for analyzing the distribution of geographic features: finding the geographic center, identifying statistically significant spatial clusters (hot spots) or outliers, assessing overall patterns of clustering or dispersion, and so on. Spatial statistics differ from traditional statistics in that space and spatial relationships are an integral and implicit component of their mathematics. The tools in the Spatial Statistics toolbox demonstrate a variety of statistical operations appropriate for analyzing geographic data. In addition, for those tools written with python the source code is available to encourage you to learn from, modify, extend and share these and other analysis tools. For more information about these tools and statistical analysis of geographic data in general, see The ESRI Guide to GIS Analysis, Volumes 1 and 2 (Volume 2 discusses the methods in the Spatial Statistics toolbox).

The following toolsets are provided with the Spatial Statistics toolbox at ArcGIS 9.

Name	Description
Analyzing Patterns Toolset	These tools evaluate if features or attribute values form a clustered, uniform, or random pattern across the region.
Mapping Clusters Toolset	These tools may be used to identify statistically significant hot spots, cold spots, or spatial outliers.
Measuring Geographic Distributions Toolset	These tools address questions such as: Where's the center? What's the shape and orientation? How dispersed are the features?
Utilities Toolset	These tools may be used to reformat data or to render analysis results.