Types of GIS Data
Table of Contents
GIS Data Types
There are three different types of GIS data:
- Spatial Data
- Attribute Data
There are two different types of Spatial data, Vector data and Raster data. Each type of data has its own format.
A point is represented by a single x, y coordinate pair. Points can represent the location of a geographic feature or a point that has no area, such as a mountain peak, hotel, school, bank, etc.
A Line or polyline is a set of line segments and represents a linear geographic feature, such as a river, road, or utility line. Lines can also represent non-geographical boundaries.
A polygon defining a homogeneous area, such as land use, water body, boundary, etc. Polygons can also be used to represent non-geographical features, such as wildlife habitats, state borders,commercial districts, and so on.
The Raster data represents two types of data, Continuous and Discrete.
A Continuous data represents phenomena in which each location on the surface is a measure of the concentration level or its relationship from a fixed point in space or from an emitting source. Continuous data is also referred to as field, non-discrete, or surface data. Sea level is a continuous object.
A Discrete data, which is sometimes called thematic, categorical, or dis-continuous data, most often represents objects in both the vector and raster data storage systems. It is easy to define precisely where the object begins and where it ends. A lake is a discrete object within the surrounding landscape. Other examples of discrete objects are; buildings, roads, and parcels.
Attribute information is displayed in Cell Arrays. Along with points, lines, and polygons, a vector layer can have a wealth of associated descriptive, or attribute information associated with it.
Some attributes are automatically generated when the layer is created. Custom fields can be added to each Attribute table. Attribute fields can contain numerical or character data.
Metadata is basically textual data that describes data. It often includes elements such as data creation date, history of the data, data type, and common usages of the data.
A Metadata can help users know what’s in your services, who created them, and what usage restrictions they might carry. Some organizations require specific items of metadata on any geographic information they publish.