GIS (Geographic Information System) deals with spatial data.

Spatial Data:
Spatial data refers to data that is associated with a specific location or geographical area. It represents the physical features and characteristics of objects in the real world. Spatial data can include information such as coordinates, boundaries, distances, and relationships between objects.

GIS and Spatial Data:
GIS is a powerful tool that allows us to capture, store, manipulate, analyze, and visualize spatial data. It combines hardware, software, and data to create a digital representation of the real world. GIS enables users to view, understand, and interpret data in a geographic context.

Spatial data in GIS is typically represented using points, lines, or polygons. Points represent specific locations, such as the coordinates of a building or a landmark. Lines can represent roads, rivers, or boundaries, while polygons are used to represent areas such as land parcels, administrative boundaries, or land use zones.

Key Points:
- GIS deals with spatial data.
- Spatial data is associated with a specific location or geographical area.
- Spatial data represents the physical features and characteristics of objects in the real world.
- It includes information such as coordinates, boundaries, distances, and relationships between objects.
- GIS allows us to capture, store, manipulate, analyze, and visualize spatial data.
- Spatial data in GIS is represented using points, lines, or polygons.

In conclusion, GIS primarily deals with spatial data, which is essential for various applications such as urban planning, environmental management, transportation, and natural resource analysis. By leveraging spatial data and GIS technology, professionals can make informed decisions and gain valuable insights into the spatial relationships and patterns within their data.