Available with Spatial Analyst license.
Available with 3D Analyst license.
The Reclass geoprocessing functions 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 (for example, for use in a suitability analysis or for creating a cost raster for use in the Cost Distance geoprocessing function).
- Set specific values to NoData or set NoData cells to a value.
There are several approaches to reclassifying your data. The methods of reclassification and the geoprocessing functions that perform them are:
- Individual values. (Lookup, Reclassify)
- Ranges of values. (Reclass by ASCII File, Reclass by Table, Reclassify)
- Intervals. (Slice)
- Continuous values using functions. (Rescale by Function)
The following topics provide background information on the theoretical aspects of these geoprocessing functions 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
- Learn how to rescale continuous data using functions
The following table lists the available geoprocessing functions 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.
Rescales the input raster values by applying a selected transformation function and transforming the resulting values onto a specified continuous evaluation scale.
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.