Geo-Relational Data Model Has Spatial and Attribute Data (Especially for GATE-Geospatial 2022)

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A georelational data model is geographic data model that represents geographic features as an interrelated set of spatial and attribute data. The Georelational Data Model stores spatial and attribute data separately in a split system.

Spatial and Attribute Components

This Diagram Shows Spatial Data and Attribute Data

Geospatial data comprise the spatial and attribute components. Spatial data describe the locations of spatial features, whereas attribute data describe the characteristics of spatial features. The georelational data model stores spatial and attribute data separately in a split system.

  • Spatial data in ′ graphic files. It describes the absolute and relative location of geographic features.
  • Attribute data in ′ relational database files. It describes characteristics of the spatial features. Attribute data is often referred to as tabular data.
A Reference Map Showing Idaho and Lands Held in Trust by the …

In this figure, Idaho borders Montana, Wyoming, Utah, Nevada, Oregon, Washington, and Canada, are contains several Indian reservations. The Georelational Data Model has been used for years in GIS; however, the new Object-Based Data Model is intruding into the realm. Looking at a paper map, we can tell:

  • What map features are like?
  • How they are spatially related to each other.

Example of Georelational Data Model

As an example of the georelational data model, the soil-id coverage uses SOIL-ID to link to the spatial and attribute data.

This Table Content Shows Example of Georelational Data Model

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