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Raster
and Vector - Rasters Defined
Concepts
raster
extent
cell
pixel
cellsize
resolution
integer raster
floating point raster
value attribute table (VAT)
What is a raster?
A raster is a rectangular
grid of cells which cover a geographic area. The area a raster
covers is its extent.
Each cell (or pixel) in a raster has a single
numeric value assigned to it. That value can represent any number
of attributes, for example:
- the elevation of the cell at its center point (this type
of raster is known as a
digital elevation model or DEM)
- a code indicating the type of vegetation (or landcover) of
the cell
- the amount of light or energy captured by an airborne
camera or satellite sensor (such as in aerial photos)
- the color of a cell of a scanned-in map (such as USGS
topo maps)
- or any other type of value you could think of such as
zoning class, development suitability, flood zone, etc.
A horizontal line of cells in a raster is known as a row and a vertical line is known as
a column. A raster is
always defined by its starting point (lower left corner), its cellsize,
and the number of rows and columns.

Cellsize/resolution
Each cell in a raster is a perfect square. The length along one
side is its cellsize (or resolution). A 1-meter raster
has cells which are 1m x 1m square, or 1 square meter. A 10-meter
raster has cells which are 10m x 10m square, or 100 square
meters. It is important to remember that cellsize is not a measure of area; it is the
square root of the raster cell's area.

Integer/floating point raster
The value in the raster cell is always numeric. Some
rasters have this value as an integer, which is called an integer raster. These are typically
used with discrete data, such as landcover classes, from which there
are a set number of values to choose. Some rasters
have this value as a decimal, which is called a floating point raster. These
are typically used with continuous data, such as elevation, from which
there is an infinite range of values.

Value attribute table (VAT)
For integer rasters, the values of the cells are stored in a value attribute table which simply
lists all possible values and the number of cells in the raster with
that value. VATs can have additional fields added them to explain
in more detail what the value means. For example, a landcover
category of 201 does not mean anything to most people, but in the VAT a
text field can be added indicating this is 'Abandoned Field'.

Floating point rasters typically do not have VATs built because
continuous data would generate a huge number of records. Only in
very small floating point rasters can VATs be built.
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