Available with Spatial Analyst license.
Available with 3D Analyst license.
The Raster Reclass tools provide a variety of methods that allow you to reclassify or change input cell values to alternative values.
The most common reasons for reclassifying data are to accomplish the following:
- Replace values based on new information.
- Group certain values.
- Reclassify values to a common scale.
- Set specific values to NoData or set NoData cells to a value.
There are several approaches to reclassifying data. The methods of reclassification and the tools that perform them are as follows:
- Individual values. (Lookup, Reclassify)
- Ranges of values. (Reclass by ASCII File, Reclass by Table, Reclassify)
- Intervals. (Slice)
The following topics provide background information on the theoretical aspects of the tools as well as some examples of their implementation:
- Learn how to reclass by individual values
- Learn how to reclass by ranges of values
- Learn about reclassification tables
- Learn how to group values into intervals or by area
The following table lists the available tools and provides a brief description of each:
Creates a raster by looking up values in another field in the table of the input raster.
Reclassifies (or changes) the values of the input cells of a raster using an ASCII remap file.
Reclassifies (or changes) the values of the input cells of a raster using a remap table.
Reclassifies (or changes) the values in a raster.
Slices or reclassifies the range of values of the input cells into zones (classes). The available data classification methods are equal interval, equal area (quantile), natural breaks, standard deviation (mean-centered), standard deviation (mean as a break), defined interval, and geometric interval.