Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

EESC 3750 - Geographic Information Systems: Types of Geospatial Data

EESC 3750; ANTH 3445: Introduction to GIS: Instructor: Rebecca Boger

Data Types: Overview

When working with geospatial data in a GIS, you need to understand the types of data you are using. The types of data will determine how to visualize and the types of analyzes that you can do. First, there are spatial and non-spatial data. Spatial, as the name implies, has a location associated with it.

There are two types of spatial data: discrete  and continuous. In general, discrete data are commonly represented in a vector data model, while continuous data are represented in a raster data model.

 

 

 

Attribute Data

Non-spatial data, often called attribute data, are the characteristics associated with the spatial data. These attributes can take one of the forms:

  • Nominal data: a unique identifier, like a SSN.
  • Ordinal data: a kind of data that refers to a ranked order. Ordinal data represents the rankings themselves, not the numbers associated with the rank
  • Interval data: a type of numerical data in which the difference between the numbers is significant but there is no non-arbitrary zero point associated with the data
  • ratio data: a type of numerical data in which the differences between the numbers is significant, but there is a fixed non-arbitrary zero point associated with the data.

Raster and Vector Models