1. 1 Data models Vector data model Raster data model

2. 2 The Vector Model of Real world point linepolygon(area) (x,y) The vector data model represent geographic features similar to the way maps do A point: recorded by a pair of (x,y) coordinates, representing a feature that is too small to have length and area. A line: recorded by joining two points, representing features too narrow to have areas A polygon: recorded by a joining multiple points that enclose an area

3. 3 Spaghetti Vector Data Model Points Data Storage +1 +2 +3 +4 Point ID Coordinates 1 1, 1 2 4, 2 3 5, 2 4 2, 4 Each point, line, or polygon is stored as a record in a file that consists ID and a list of coordinates.

4. 4 Spaghetti Vector Data Model IDCoordinates 1(0,1), (3,4), (5,6) 2(3,1), (5,2), (4,3) 1 2 Lines:

5. 5 Spaghetti Vector Model  Uses a single line to represent the boundary of a polygon –Boundaries shared by two polygons are stored twice –Sliver polygons

6. 6 Advantages 1. Simple 2. Relatively efficient as a method of cartographic display Spaghetti Vector Model

7. 7 1. Unstructured, lines often do not connect when they should 2. Spaghetti model severely limits spatial data analysis (e.g., area calculation) Disadvantages

8. 8 Topological vector models –In addition to coordinate locations, Topological vector model explicitly record topological relationships (Polygon adjacency is an example) “Topology: Spatial relationships between points, lines & polygons”

9. 9 1 6 5 2 4 3 ① ② ③ Arc: ①, ②, ③ Nodes: 2, 5 Vertices: 1, 6 for arc ① 3, 4 for arc ② Arc # Start Node Vertices End Node 1 2 1,6 5 2 2 3,4 5 3 2 5 Polygon arc list A ①, ③ B ②, ③ A B Points 1 x1,y1 2 x2,y2 3 x3,y3 4x4,y4 5 x5,y5 6 x6,y6 The Arc-Node Data Structure

10. 10 Topology Topology defines spatial relationships. The arc-node data structure supports three major topological concepts: Connectivity: Arcs connect to each other at nodes Area definition: Arcs that connect to surround an area define a polygon Contiguity: Arcs have direction and left and right sides

11. 11 Topology: Connectivity 101112 13 14 15 ⑤ ① ② ③ ④ Arc From-Node To-Node 1 10 11 2 11 12 3 11 13 4 13 15 5 13 14 Arc-node list Connected arcs are determined by searching through the list for common node numbers. Because of the common node 11, arcs 1, 2, and 3 all intersect. The computer can determine that it is possible to travel along arc 1 and turn onto arc 3. But it is not possible to turn directly from arc 1 to arc 5.

12. 12 Topology: Area Definition B A C D E 1 2 3 4 5 6 7 8 9 Polygon Arc List B 1,5,8,4 C 2,6,9,5 D ? E ? Polygon-Arc Topology Polygons are simply the list of arcs defining its boundary, arc coordinates are stored only once, therefore, reducing the amount of data and ensuring that the boundaries of adjacent polygons don’t overlap

13. 13 Topology: Contiguity An Arc From-Node To-Node Direction left right B C D E 1 2 3 4 5 6 7 8 9 Arc Left Right Polygon Polygon 5 C B 9 E C 6 ? ? 1 ? ? Two geographic features which share a boundary are called adjacent. Contiguity is the topological concept which allows the vector data model to determine adjacency.

14. 14 Advantages of topological model –Spatial relationships between features are explicitly encoded, making it very easy to determine if polygons are adjacent, if arcs connect, etc. –Highly desirable model if spatial analysis is to be done on the data

15. 15 Limitations of topological model Data must be very “clean” all lines must begin and end with a node all lines must connect correctly all polygons must be closed Computational cost

16. 16

17. 17 Key to Arc-Node table