What is GIS?

GIS is a collection of computer hardware, software, and geographic data for capturing, managing, analyzing, and displaying all forms of geographically referenced information.

Why Geography?

Geography is a serious discipline with multibillion dollar implications for businesses and governments. Choosing sites, targeting market segments, planning distribution networks, responding to emergencies, or redrawing country boundaries—all of these problems involve questions of geography.

How Does GIS Use Geography?

With a geographic information system (GIS), you can link information (attributes) to location data, such as people to addresses, buildings to parcels, or streets within a network. You can then layer that information to give you a better understanding of how it all works together. You choose what layers to combine based on what questions you need to answer.

A GIS is most often associated with a maps. A map, however, is only one way you can work with geographic data in a GIS, and only one type of product generated by a GIS. This is important, because it means that a GIS can provide a great deal more problem-solving capabilities than using a simple mapping program or adding data to an online mapping tool (creating a "mash-up") .

3 ways GIS is viewed

The Database View: A GIS is a unique kind of database of the world—a geographic database ( geodatabase ). It is an "Information System for Geography." Fundamentally, a GIS is based on a structured database that describes the world in geographic terms. The Map View: A GIS is a set of intelligent maps and other views that show features and feature relationships on the earth's surface. Maps of the underlying geographic information can be constructed and used as "windows into the database" to support queries, analysis, and editing of the information. This is called geovisualization .The Model View: A GIS is a set of information transformation tools that derive new geographic datasets from existing datasets. These geoprocessing functions take information from existing datasets, apply analytic functions, and write results into new derived datasets.

In other words, by combining data and applying some analytic rules, you can create a model that helps answer the question you have posed. In the example below, GPS and GIS were used to accurately model the expected location and distribution of debris for the Space Shuttle Columbia , which broke up upon re-entry over eastern Texas on February 1, 2003.

Together, these three views are critical parts of an intelligent GIS and are used at varying levels in all GIS applications.

How hard is it to do?

What do GIS specialist do?