# Reclassification and Statistical Local Functions (Especially for GATE-Geospatial 2022)

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## Reclassification

Local operations also include reclassification of values. This is where a range of values from the input raster are assigned a new value. For example, we might want to reclassify the input raster values as follows:

Original values | Reclassified values |

0 – 25 | 25 |

26 – 50 | 50 |

51 – 75 | 75 |

76 – 100 | 100 |

The whole layer does not need to be evaluated. A subset of a layer can be selected for reclassification. You can choose a subset of cell values to reclassify all the cells that represent high level of urbanization or all cells that represent agricultural land use.

Another approach is to use position as a basis for subset selection of a layer for reclassification. For instance, a or filter can be delineated, and cells within the filter reclassified.

## Statistical Local Functions

Statistical local functions are useful for comparing two or more input grids. You can return minimum, maximum, mean, median etc. values for each grid cell. This allows you to compare layers to other constants or an indicator value.