1. Point to Ponder “I think there is a world market for maybe five computers.” »Thomas Watson, chairman of IBM, 1943

2. Spatial Data Representation Maps and GIS are models of reality –They emphasize some aspects of reality in a cartographic (and database) representation while ignoring or greatly simplifying other aspects of reality.

3. Spatial Data Representation Abstraction –the process of interpreting what can be sensed from the real world into representational symbols (e.g. the category forest)

4. Spatial Data Representation Data Modeling –the process of abstraction from the real world for the purpose of representation in a GIS (or other information system)

5. Spatial Data Representation Conceptual Model Data Model Data Structure File Structure Data Modeling Levels

6. Spatial Data Representation What geographic entities can be identified in this landscape?

7. Spatial Data Representation The geographic entities (things) that are represented in a GIS depend on: –worldview/perspective –knowledge –purpose of the GIS designer and the GIS user –and the GIS representational structure

8. Spatial Data Representation Geographic entities can be conceptualized as: –points –lines –areas –surfaces [volumes]

9. Spatial Data Representation How geographic entities are conceptualized depends on: –your worldview/perspective –your knowledge –your purpose –your scale of conceptualization

10. Spatial Data Representation –your scale of conceptualization State College in the context of its location in the state (point feature) State College in the context of its size and shape (area feature)

11. Spatial Data Representation Geographic entities can be spatially (graphically) represented as spatial elements: –points 0 dimensional –lines 1 dimensional –areas 2 dimensional –surfaces 2.5 dimensional –volumes 3 dimensional

12. Spatial Data Representation Most geographic entities exist in three dimensions through time The conceptualization of the geographic entity to be represented governs the choice of graphic representation as a (set of) spatial element(s)

13. Spatial Data Representation Some spatial representation choices are easier than others: –roads are represented as lines on road maps of Pennsylvania Some spatial representation choices are more difficult: –especially the representation of events and processes (e.g. soils)

14. Spatial Data Representation

15. Cartographic generalization - reducing information so it can be more clearly cartographically represented Feature elimination - eliminating portions of features

16. Spatial Data Representation Feature smoothing - graphically simplifying features

17. Spatial Data Representation Can distinguish between two different conceptualizations of geographic phenomena: –object view: empty space ‘littered’ with objects (e.g. lakes) –field view: a geographic entity that ‘varies’ across a space (e.g. elevation)

18. Areas within 1 km of hazardous facility in the Philadelphia area Elevation of the State College area Object ViewField View Spatial Data Representation

19. Object or field conceptualizations can be spatially represented in different ways, e.g. the elevation field represented as a surface of shading values (left) or as a set of discrete contour lines (right).

20. Spatial Data Representation Conceptual Model Data Model Data Structure File Structure Data Modeling Levels Elevation varies over the surface of the earth Set of lines that represent elevation (contours) Vector-Relational

21. Spatial Data Representation Geographic entities that are conceptualized as surfaces can be thought of as: –discrete: spatial extent of an entity defined by sharp boundaries (e.g. population density per census block group) –continuous: varies ‘smoothly’ over space (e.g. temperature)

22. Spatial Data Representation Population density by county in Pennsylvania changes in discrete steps Elevation changes smoothly and continuously over space

23. Spatial Data Representation Is land cover (forested, urban, agricultural, etc.) conceptualized with an object view or a field view? –Is land cover an assemblage of individual areas, each a certain type of cover (object view)? Or is land cover a spatially varying property that can be measured at any point in space (field view)? Is land cover spatially continuous or discrete?

24. Spatial Data Representation GIS is a model of the real world The representation of the real world in a GIS is determined by: –the conceptualization of the real world –the structure of the GIS database representation spatial elements GIS supports data structures underlying the conceptual level