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Map projections and coordinate systems
Within ArcGIS, every dataset has a coordinate system, which is used to integrate it with other geographic data layers within a common coordinate framework such as a map. Coordinate systems enable you to integrate datasets within maps as well as to perform various integrated analytic operations such as overlaying data layers from disparate sources and coordinate systems.
What is a coordinate system?
Coordinate systems enable geographic datasets to use common locations for integration. A coordinate system is a reference system used to represent the locations of geographic features, imagery, and observations such as GPS locations within a common geographic framework.
Each coordinate system is defined by:
- Its measurement framework, which is either geographic (in which spherical coordinates are measured from the earth's center) or planimetric (in which the earth's coordinates are projected onto a two-dimensional planar surface)
- Unit of measurement (typically feet or meters for projected coordinate systems or decimal degrees for latitude-longitude)
- The definition of the map projection for projected coordinate systems
- Other measurement system properties such as a spheroid of reference; a datum; and projection parameters like one or more standard parallels, a central meridian, and possible shifts in the x- and y-directions
Types of coordinate systems
There are two common types of coordinate systems used in GIS:
- A global or spherical coordinate system such as latitude-longitude. These are often referred to as geographic coordinate systems.
- A projected coordinate system based on a map projection such as transverse Mercator, Albers equal area, or Robinson, all of which (along with numerous other map projection models) provide various mechanisms to project maps of the earth's spherical surface onto a two-dimensional Cartesian coordinate plane. Projected coordinate systems are sometimes referred to as map projections.
For a conceptual overview, see
Georeferencing and coordinate systems.
Coordinate systems (either geographic or projected) provide a framework for defining real-world locations. In ArcGIS, the coordinate system is used as the method to automatically integrate the geographic locations from different datasets into a common coordinate framework for display and analysis.
ArcGIS automatically integrates datasets whose coordinate systems are known
All geographic datasets used in ArcGIS are assumed to have a well-defined coordinate system that enables them to be located in relation to the earth's surface.
If your datasets have a well-defined coordinate system, then ArcGIS can automatically integrate your datasets with others by projecting your data on the fly into the appropriate framework—for mapping, 3D visualization, analysis, and so forth.
If your datasets do not have a spatial reference, they cannot be easily integrated. You need to define one before you can use your data effectively in ArcGIS.
What is a spatial reference in ArcGIS?
A
spatial reference in ArcGIS is a series of parameters that define the coordinate system and other spatial properties for each dataset in the geodatabase. It is typical that all datasets for the same area (and in the same geodatabase) use a common spatial reference definition.
An ArcGIS spatial reference includes settings for
- The coordinate system
- The coordinate precision with which coordinates are stored (often referred to as the "coordinate resolution")
- Processing tolerances (such as the cluster tolerance)
- The spatial or map extent covered by the dataset (often referred to as the "spatial domain")
Learning more about coordinate systems
Here is a series of links to help you learn more about applying map projections and coordinate systems in your work.
Learning more about map projection and coordinate system concepts
Common coordinate system and map projection tasks in ArcGIS
Here is a series of links to guidance on how to perform a number of common coordinate system tasks in ArcGIS.
Defining the coordinate systems, reprojecting, and transforming datasets
Datum transformation and rubber-sheeting
Working with Vertical Coordinate Systems