What's new in the Spatial Statistics toolbox

The Spatial Statistics toolbox has three new tools in 10.1, including: Incremental Spatial Autocorrelation for choosing an appropriate scale of analysis, Exploratory Regression for finding a properly specified OLS model, and Grouping Analysis for finding natural groups in your data based on multiple attributes, and both space and time relationships. There are also several improved tools in 10.1, including a new PDF report for Ordinary_Least_Squares and the ability to create Space/Time relationships using Generate_Spatial_Weights_Matrix.

Toolset changes

No new toolsets were added.

New tools

Toolset	Tool	Description
Analyzing Patterns toolset	Incremental Spatial Autocorrelation	Measures spatial autocorrelation for a series of distances and optionally creates a line graph of those distances and their corresponding z-scores. Z-scores reflect the intensity of spatial clustering, and statistically significant peak z-scores indicate distances where spatial processes promoting clustering are most pronounced. These peak distances are often appropriate values to use for tools with a Distance Band or Distance Radius parameter.
Mapping Clusters toolset	Grouping Analysis	Groups features based on feature attributes and optional spatial/temporal constraints.
Modeling Spatial Relationships toolset	Exploratory Regression	The Exploratory Regression tool evaluates all possible combinations of the input candidate explanatory variables, looking for OLS models that best explain the dependent variable within the context of user-specified criteria.

Improved tools

Tool	Improvement
Cluster_and_Outlier_Analysis	A derived output, source_id, has been added for use in models for joining the output dataset to the original dataset if desired.
Export_Feature_Attribute_to_ASCII	A new parameter, Add Field Names to Output, has been added to allow field names to be added to the output text file.
Generate_Spatial_Weights_Matrix	Relationships between features can now be defined using both space and time, using several new parameters. For space/time analyses, select the new SPACE_TIME_WINDOW option for the Conceptualization of Spatial Relationships parameter. You define space by specifying a Threshold Distance value; you define time by specifying a Date/Time Field and both a Date/Time Type (such as HOURS or DAYS) and a Date/Time Interval Value, all of which are new parameters. The Date/Time Interval Value is an Integer. For example, if you enter 1,000 feet, select HOURS, and provide a Date/Time Interval Value of 3, features within 1,000 feet and occurring within three hours of each other would be considered neighbors.
Hot_Spot_Analysis	A derived output, source_id, has been added for use in models for joining the output dataset to the original dataset if desired.
Ordinary_Least_Squares	A new parameter has been added, Output Report File, that allows the user to specify the location of the optional output PDF report. The new PDF report includes the results and diagnostics from the OLS analysis, as well as several graphics to help interpretation.