An overview of the Analysis toolbox


The Analysis toolbox provides a powerful set of tools to perform various geoprocessing operations of all types of vector data. With the tools in this toolbox, you can perform overlays, create buffers, calculate statistics, perform proximity analysis, and much more. When you need to solve a spatial or statistical problem, you should always look in the Analysis toolbox.

Spatial features, such as buildings, pipes, or parcel boundaries, can be represented with points, lines, and areas. This type of representation is known as the vector data structure. Points, lines, and areas are stored as coordinates or sets of coordinates that define a shape. ArcGIS stores vector data as features in a feature class and collections of feature classes. There are three main formats of feature data: coverages, shapefiles, and geodatabases.

The Analysis toolbox was designed to perform analysis of vector data in a geographic information system (GIS). A powerful function of the Analysis toolbox is that the output of one procedure can be used as input to another.

Learn more about the vector data structure

Learn more about analysis toolbox sample applications

The Analysis toolbox has four toolsets. Each toolset performs specific GIS analysis of vector data. The following table lists the toolsets available in the Analysis toolbox and provides a brief description of each.


Toolsets Description
Extract Contains tools to extract features and attributes from a feature class or a table based on attribute queries or spatial extraction and stores them in a new shapefile or geodatabase feature class. These tools include Clip, Select, Split, and Table Select.
Overlay Contains tools to overlay multiple feature classes to combine, erase, or update spatial features into a new feature class. There are several types of overlay operations, such as Identity, Intersect, Union, and Update.
Proximity Contains tools to determine the proximity of spatial features within a feature class or between two feature classes. These tools include Buffer, Near, and Point Distance.
Statistics Contains tools to perform standard statistical analysis on attribute data. They perform mean, minimum, maximum, and standard deviation analysis on attribute data and save the results in a new table. These tools include Frequency and Summary Statistics.

See Also