13.07.2013 Views

PostGIS Raster : Extending PostgreSQL for The Support of ... - CoDE

PostGIS Raster : Extending PostgreSQL for The Support of ... - CoDE

PostGIS Raster : Extending PostgreSQL for The Support of ... - CoDE

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

4.4.4 Representing Features<br />

Figure 4.13: <strong>Raster</strong> zones and regions [32].<br />

In raster data, the cell typically represents the predominant phenomenon <strong>of</strong> the area covered by<br />

a cell, whereas vector data can accurately identify individual features. This is due to the fact that<br />

when representing geographic features using raster data, features are nothing more than collections<br />

<strong>of</strong> cells with the same attribute values and thus lose their unique identities. <strong>Raster</strong> data is best used<br />

when the primary problem concerns with the locational relationships <strong>of</strong> the phenomena represented<br />

by geographic features and not the features themselves.<br />

Discrete Data<br />

Discrete data, which is sometimes called thematic, categorical or discontinuous data, is used to<br />

describe discrete objects and can be expressed in both vector and raster <strong>for</strong>mats. A discrete object has<br />

always precise boundaries. So it is easy to define where the object begins and where it ends as well as<br />

how to compose them from discrete features like points, lines and polygons. A lake is a discrete object<br />

surrounded by landscape. Other examples <strong>of</strong> discrete objects include buildings, roads and parcels.<br />

Points<br />

Figure 4.14: Discrete data represented in raster <strong>for</strong>mat [33].<br />

A point is represented by an explicit x,y coordinate in vector <strong>for</strong>mat. However, in raster <strong>for</strong>mat,<br />

it is a single cell, the smallest unit <strong>of</strong> a raster. By definition, a point has no area but will represent<br />

an area when it is converted to a cell. For example, a telephone pole or the location <strong>of</strong> an endangered<br />

plant will occupy the entire area covered by a cell. <strong>The</strong>re<strong>for</strong>e, the smaller the cell size, the smaller the<br />

area and thus the closer the representation <strong>of</strong> the point feature.<br />

As a raster point has the same size as the size <strong>of</strong> the cell. So the cell size has to be chosen small<br />

enough to capture sufficient input points <strong>for</strong> the desired analysis. In the case if two or more points<br />

fall within the same cell, the value <strong>of</strong> one <strong>of</strong> these points will be randomly selected when assigning a<br />

value to the cell.<br />

35

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!