An overview of the Analysis toolbox
The Analysis toolbox contains a powerful set of tools that perform the most fundamental GIS operations. With the tools in this toolbox, you can perform overlays, create buffers, calculate statistics, perform proximity analysis, and much more. Whenever you need to solve a spatial or statistical problem, you should always look in the Analysis toolbox.
The Analysis toolbox has four toolsets. Each toolset performs specific GIS analysis of feature data.
|
Toolsets |
Description |
|---|---|
| Extract |
GIS datasets often contain more data than you need. The Extract tools let you select features and attributes in a feature class or table based on a query (SQL expression) or spatial extraction. The output features and attributes are stored in a feature class or table. |
| Overlay |
The Overlay toolset contains tools to overlay multiple feature classes to combine, erase, modify, or update spatial features, resulting in a new feature class. New information is created when overlaying one set of features with another. There are six types of overlay operations; all involve joining two existing sets of features into a single set of features to identify spatial relationships between the input features. |
| Proximity |
The Proximity toolset contains tools that are used to determine the proximity of features within one or more feature classes or between two feature classes. These tools can identify features that are closest to one another or calculate the distances between or around them. |
| Statistics |
The Statistics toolset contains tools that perform standard statistical analysis on attribute data: frequency, mean, minimum, maximum, and standard deviation. The results are saved to a new table. |