# What Is Spatial Data Type?

//

Angela Bailey

Spatial data types are an essential component of geographic information systems (GIS) and are used to store and analyze data related to spatial locations. In this article, we will explore what spatial data types are, how they are used, and their significance in the field of GIS.

What are Spatial Data Types?
Spatial data types represent the geometry or location of objects in a GIS. These objects can include points, lines, polygons, and more complex structures like multipoints or multipolygons. Spatial data types provide a way to store and manipulate geographical information accurately.

Why Are Spatial Data Types Important?
Spatial data types play a crucial role in analyzing and visualizing geographical information. By representing the real-world features accurately, spatial data types enable GIS applications to perform spatial analysis, such as finding distances between points or determining areas covered by polygons.

Types of Spatial Data
There are various types of spatial data that can be represented using different spatial data types:

### Point:

A point is the most basic spatial object and represents a single location on the Earth’s surface. It is defined by its coordinates (latitude and longitude) in a two-dimensional space.

### Line:

A line consists of multiple connected points and represents linear features such as roads, rivers, or boundaries. It can be either straight or curved.

### Polygon:

A polygon is a closed shape with three or more sides defined by a series of connected points. It represents areas such as countries, cities, or lakes.

### MultiPoint:

A MultiPoint is a collection of multiple points grouped together as a single object. It is useful when representing multiple locations as a single entity.

### MultiLineString:

Similar to MultiPoint, MultiLineString represents multiple lines grouped together as a single object. It is commonly used to represent networks of roads or rivers.

### MultiPolygon:

MultiPolygon represents multiple polygons grouped together as a single object. It is used to represent complex areas with holes or islands, such as countries with exclaves.

Storing Spatial Data Types
Spatial data types can be stored in various database systems that support spatial capabilities, such as PostgreSQL with the PostGIS extension, MySQL with the Spatial Extensions, or SQL Server with the geometry and geography data types.

These database systems provide functions and operators that allow performing spatial operations like intersection, distance calculation, or buffering on the stored spatial data.

Conclusion
Spatial data types are essential for accurately representing and analyzing geographic information in a GIS. They enable us to store and manipulate various spatial objects like points, lines, and polygons. By using these spatial data types effectively, we can unlock the power of GIS applications and gain valuable insights about our world.