Georeferencing is
about using map coordinates to assign a spatial location to map
features. All the elements in a map layer have a specific geographic
location and extent that enables them to be located on or near the
earth's surface. The ability to accurately locate geographic features is
critical in both mapping and GIS.
Describing the correct
location and shape of features requires a coordinate framework for
defining real-world locations. A geographic coordinate system is used to
assign geographic locations to objects. A global coordinate system of
latitude-longitude is one such framework. Another is a planar or
Cartesian coordinate system derived from the global framework.
Maps represent
locations on the earth's surface using grids, graticules, and tic marks
labeled with various ground locations—both in measures of
latitude-longitude and in projected coordinate systems such as UTM
meters. The geographic elements contained in various map layers are
drawn in a specific order (one on top of another) for the given map
extent.
GIS datasets contain
coordinate locations within a global or Cartesian coordinate system to
record geographic locations and shapes. In this way, multiple GIS data
layers can be overlaid onto the earth's surface.
Latitude and longitude
One
method for describing the position of a geographic location on the
earth's surface is using spherical measures of latitude and longitude.
They are measures of the angles (in degrees) from the center of the
earth to a point on the earth's surface. This type of coordinate
reference system is often referred to as a geographic coordinate system.
Longitude
measures angles in an east–west direction. Longitude measures are
traditionally based on the prime meridian, which is an imaginary line
running from the North Pole through Greenwich, England, to the South
Pole. This angle is longitude 0. West of the prime meridian is typically
recorded as negative longitude, and east is recorded as positive. For
example, the location of Los Angeles, California, is roughly plus 33
degrees, 56 minutes latitude and minus 118 degrees, 24 minutes
longitude.
Although
longitude and latitude can locate exact positions on the surface of the
globe, they do not provide uniform units of measure for length and
distance. Only along the equator does the distance represented by one
degree of longitude approximate the distance represented by one degree
of latitude. This is because the equator is the only parallel as large
as a meridian. (Circles with the same radius as the spherical earth are
called great circles. The equator and all meridians are great circles.)
Above and below the equator, the circles defining the parallels of
latitude get gradually smaller until they become a single point at the
North and South Poles where the meridians converge. As the meridians
converge toward the poles, the distance represented by one degree of
longitude decreases to zero. On the Clarke 1866 spheroid, one degree of
longitude at the equator equals 111.321 kilometers, while at 60°
latitude, it is only 55.802 kilometers. Since degrees of latitude and
longitude don't have a standard length, you can't measure distances or
areas accurately or display the data easily on a flat map or computer
screen. Using many (but not all) GIS analysis and mapping applications
often requires a more stable, planar coordinate framework, which is
provided by projected coordinate systems. Alternatively, some of the
algorithms used for spatial operators take into account the geometric
behavior of spherical (geographic) coordinate systems.
Map projections using Cartesian coordinates
A projected coordinate system is any coordinate system designed for a flat surface, such as a printed map or a computer screen.
Both 2D and 3D Cartesian coordinate systems provide the mechanism for
describing the geographic location and shape of features using x- and
y-values (and as you will read later, by using columns and rows in
rasters).
The
Cartesian coordinate system uses two axes: one horizontal (x),
representing east–west, and one vertical (y), representing north–south.
The point at which the axes intersect is called the origin. Locations of
geographic objects are defined relative to the origin, using the
notation (x,y), where x refers to the distance along the horizontal axis
and y refers to the distance along the vertical axis. The origin is
defined as (0,0).
In
the illustration below, the notation (4,3) records a point that is four
units over in x and three units up in y from the origin.
3D coordinate systems
Increasingly, projected coordinate systems also use a z-value to measure elevation above or below mean sea level.
In
the illustration below, the notation (2,3,4) records a point that is
two units over in x and three units in y from the origin and whose
elevation is four units above the earth's surface (such as 4 meters
above mean sea level).
Properties and distortion in map projections
Since
the earth is spherical, a challenge faced by cartographers and GIS
professionals is how to represent the real world using a flat or planar
coordinate system. To understand the dilemma, consider how you would
flatten half of a basketball; it can't be done without distorting its
shape or creating areas of discontinuity. The process of flattening the
earth is called projection, hence the term map projection.
A
projected coordinate system is defined on a flat, two-dimensional
surface. Projected coordinates can be defined for 2D (x,y) or 3D (x,y,z)
in which the x,y measurements represent the location on the earth's
surface and z would represent height above or below mean sea level.
Unlike
a geographic coordinate system, a projected coordinate system has
constant lengths, angles, and areas across the two dimensions. However,
all map projections representing the earth's surface as a flat map
create distortions in some aspect of distance, area, shape, or
direction.
Users
cope with these limitations by using map projections that fit their
intended uses, their specific geographic location, and extent. GIS
software also can transform information between coordinate systems to
support integration of datasets held in differing coordinate systems and
to support a number of critical workflows.
Many
map projections are designed for specific purposes. One map projection
might be used for preserving shape while another might be used for
preserving the area (conformal versus equal-area projections).
These
properties—the map projection along with spheroid and datum—become
important parameters in the definition of the coordinate system for each
GIS dataset and each map. By recording detailed descriptions of these
properties for each GIS dataset, computers can reproject and transform
the geographic locations of dataset elements on the fly into any
appropriate coordinate system. As a result, it's possible to integrate
and combine information from multiple GIS layers regardless of their
coordinate systems. This is a fundamental GIS capability. Accurate
location forms the basis for almost all GIS operations.
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