Spatial Analysis of Geographic Features in Vector Format (Especially for GATE-Geospatial 2022)

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Spatial analysis is the process that turns raw input spatial data into value-added useful data or information that ultimately supports decision making and reveals hidden or unknown patterns. Geographic entities encoded using the vector data model is usually called features. Features of the same geometric type are stored in a geographic database as a feature class, or when speaking about physical representation the term feature table is preferred.

Simple Features

Simple feature datasets are sometimes called spaghetti because line and polygons can overlap and there are no relationships between any of the objects.

This Image Shows Raster and Vector Representation

Types of Simple Features

The vector data model used the geometric objects of point, line, and area to represent simple spatial features

  • Point – 0 dimensions – property of location
  • Line – 1 dimension – property of length
  • Area – 2 dimensions – properties of area (size) and perimeter

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