Explain the various operations in raster and vector analysis. Draw neat well-labelled diagrams, wherever required.

Raster and vector analysis are two primary methods used in geographic information systems (GIS) to represent, analyze, and visualize spatial data. Both play crucial roles in geographic and environmental studies, but they operate based on different principles and data formats. Here, we will explore various operations in raster and vector analysis, highlighting their unique features and applications.

### Raster Analysis Operations

Raster data represent the Earth's surface as a grid of cells or pixels, with each cell having a value corresponding to a particular attribute (e.g., elevation, temperature). Raster analysis involves operations that manipulate these cells to derive new information or represent patterns in spatial data.

1. Reclassification: This operation involves reassigning values in a raster dataset. For example, in land cover classification, raster values may be reassigned to different categories (such as forest, water, urban, etc.) to simplify analysis or make the data more meaningful. This operation is useful for zoning, ___ _______ _______ ________ ________ _______ __________ _________ ______ ____.
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