Features exist in multiple environments. For example, the objects mentioned in the preceding list-river, forest, mountain range-belong to the natural environment. Other objects, such as cities, buildings, and offices, belong to the cultural environment. Still others, such as parks, zoos, and farmland, represent a combination of the natural and cultural environments.
Spatial information, either by itself or in combination with traditional relational data, can help you with such activities as defining the areas in which you provide services, and determining locations of possible markets. For example, suppose that the manager of a county welfare district needs to verify which welfare applicants and recipients actually live within the area that the district services. DB2 Spatial Extender can derive this information from the serviced area's location and from the addresses of the applicants and recipients.
Or suppose that the owner of a restaurant chain wants to do business in nearby cities. To determine where to open new restaurants, the owner needs answers to such questions as: Where in these cities are concentrations of clientele who typically frequent my restaurants? Where are the major highways? Where is the crime rate lowest? Where are the competition's restaurants located? DB2 Spatial Extender and DB2 can produce information to answer these questions. Furthermore, front-end tools, though not required, can play a part. To illustrate: a visualization tool can put information produced by DB2 Spatial Extender-for example, the location of concentrations of clientele and the proximity of major highways to proposed restaurants-in graphic form on a map. Business intelligence tools can put associated information-for example, names and descriptions of competing restaurants-in report form.