Editing Geographic information system (section)

===Aspects of geographic data===
GIS uses spatio-temporal ([[space-time]]) location as the key index variable for all other information. Just as a relational database containing text or numbers can relate many different tables using common key index variables, GIS can relate otherwise unrelated information by using location as the key index variable. The key is the location and/or extent in space-time.

Any variable that can be located spatially, and increasingly also temporally, can be referenced using a GIS. Locations or extents in Earth space–time may be recorded as dates/times of occurrence, and x, y, and z [[coordinate]]s representing, [[longitude]], [[latitude]], and [[elevation (geography)|elevation]], respectively. These GIS coordinates may represent other quantified systems of temporo-spatial reference (for example, film frame number, stream gage station, highway mile-marker, surveyor benchmark, building address, street intersection, entrance gate, water depth sounding, [[Point of sale|POS]] or [[Computer-aided design|CAD]] drawing origin/units). Units applied to recorded temporal-spatial data can vary widely (even when using exactly the same data, see [[map projection]]s), but all Earth-based spatial–temporal location and extent references should, ideally, be relatable to one another and ultimately to a "real" physical location or extent in space–time.

Related by accurate spatial information, an incredible variety of real-world and projected past or future data can be analyzed, interpreted and represented.<ref>{{cite journal|last=Cowen|first=David |url=http://funk.on.br/esantos/doutorado/GEO/igce/DBMS.pdf |title=GIS versus CAD versus DBMS: What Are the Differences? |access-date=17 September 2010 |year=1988| journal=Photogrammetric Engineering and Remote Sensing|volume=54|number=11|pages=1551–1555|url-status=dead |archive-url=https://web.archive.org/web/20110424091317/http://funk.on.br/esantos/doutorado/GEO/igce/DBMS.pdf |archive-date=24 April 2011}}</ref> This key characteristic of GIS has begun to open new avenues of scientific inquiry into behaviors and patterns of real-world information that previously had not been systematically [[correlation|correlated]].