| |||||||
|
In its most basic form, Geographic Information System (GIS) is a set of tools that allows the user to easily analyze mappable information that is stored in a database. A good example of this information would be a tax lot database that contains attributes of specific properties that could then be manipulated to suit the user’s needs. This could include an in-depth analysis of different tax lots affected by a natural feature (i.e. the 100-yr. flood plain) or simply plotting a map of the parcel boundaries. In either case, both the analysis results and map are products of GIS.
It is important to remember that no matter how the required data is presented, the map is only acting as a supplement to the mappable information used to create it, the way a picture in a magazine might help a reader better visualize the text of an article. The bulk of true GIS work is data oriented (usually statistical analysis and data maintenance) and visual representation of that data is considered a peripheral application.
When people look at a map, the spatial relationships between its different features can easily be determined. We can visually compare their locations to one another and draw simple conclusions based upon our comparisons. In GIS, the world appears vastly different however. The information a GIS sees appears in a database in which each record has a specific coordinate that accurately marks its location on the Earth. By maintaining a dynamic link between that information and its real world location, it is possible to create an “intelligent map” which conveys more information than is actually visible. For individuals who are concerned with efficiently analyzing the spatial characteristics of their data, this ability becomes an invaluable feature that makes GIS so appealing.
Once the desired analysis is complete and the user wishes to graphically display that information, it would appear in one of three geographic forms used by all GIS programs. These include:
In each case, intelligent mapping in conjunction with basic data analysis proved to be a success, and could easily be applied in the City of Beaverton.