Geospatial Data


Geospatial data, also known as spatial data or geographic information, refers to information about a physical object that can be represented by numerical values in a geographic coordinate system. Essentially, it can be defined as data which is associated with a specific location. This data is often associates attributes with a geographic coordinates and includes information about both the locations and characteristics of spatial features.

What is Geospatial Data?

Geospatial data is information about a physical space that's tangible — things you can actually see and touch. It could be about locations, landscapes, or physical structures. Whenever you see a map with items or areas marked on it, that map likely uses geospatial data.

Geospatial data can be classified into two types: vector and raster. Vector data is characterized as having discrete components like points, lines, and polygons. It is often seen in geographical data that represents roads, landmarks, and boundaries. On the other hand, raster data consists of continuous information and is made up of pixelated, grid-pattern imagery such as satellite images or weather radar data.

Technologies heavily use geospatial data, these include Geographic Information Systems (GIS), Global Positioning System (GPS), and Remote Sensing. These technologies with the combination of geospatial data allow us to represent, manipulate, analyze and depict the physical world in digital environments.


What are the examples of Geospatial Data?

Examples of geospatial data include street addresses, zip codes, and survey data that includes geographic coordinates. Maps, aerial photographs, satellite imagery and radar scans also carry geospatial data.

Why is Geospatial Data important?

Geospatial data is important because it enables the capability of visualizing and analyzing data in a geographic context. This ability can help in effective decision making in fields such as urban planning, environmental assessment, disaster management, and transportation.

What are the sources of Geospatial Data?

Geospatial data can be gathered from a variety of sources, which include satellite imagery, aerial photography, GPS data, and physical maps that have been digitized. Other sources can include surveying, population censuses, and environmental monitoring.

How is Geospatial Data used in GIS?

In GIS, geospatial data is used to create digital maps, perform analysis and modelling, and manage and visualize geographical information. It allows for the location-based analysis of trends, patterns, and relationships to make complex data more understandable and useful.

Ready to level up your map-making process?