Full text: XVIIth ISPRS Congress (Part B3)

  
  
  
  
  
  
  
  
The Topology of Polygon A at Time TO 
  
  
  
  
  
  
  
  
The Topology of Polygon A at Time T2 
  
  
Poly-ID Arc-ID From To Poly-ID Arc-ID From To 
y 
A al TO NOW A al TO TI 
A a2 TO NOW A a2 TO NOW 
A a3 TO NOW A a3 TO NOW 
A a4 TO NOW A a4 TO NOW 
A all TI NOW 
  
  
  
  
  
  
The Topology of Polygon A at Time T1 
  
  
  
Poly-ID Arc-ID From To Poly-ID Arc-ID From To 
A al TO T1 A al TO Ti 
A a2 TO T2 A a2 TO T2 
A a3 TO NOW A a3 TO NOW 
A a4 TO NOW A a4 TO T3 
A a5 T2 NOW A a5 T2 NOW 
A a42 T3 NOW 
  
  
  
  
  
The Topology of Polygon A at Time T3 
  
  
  
  
  
Poly-ID Arc-ID From To 
A al TO Ti 
A a2 TO T2 
A a3 TO TS 
A a4 TO T3 
A all T1 TS 
A a5 T2 TS 
A a41 T3 TS 
A a42 T3 TS 
  
  
  
The Topology of Polygon A at Time TS 
Figure 4.1. The Representation of The Evolution of Polygon A in a Database 
HIGHWAY-TOPOLOGY 
  
  
ARC-ATTRIBUTE 
  
  
  
  
B: 
G: 
  
  
  
  
  
  
  
  
  
Highway-ID | Arc-ID| From | To Arc-ID| Pavement y panes 
H1 al TO |NOW al Good 4 
H1 a2 TO T1 a2 Fair 2 
H1 a3 TO | NOW a3 Fair 2 
H2 a6 TO | NOW a4 Fair 2 
H3 a4 TO | NOW a5 Good 4 
H3 a5 TO | NOW a6 Fair A 
Hl a2 | T1 |NOW a2 | Good 4 
  
  
  
  
  
  
  
  
Figure 4.2 The Propagation of Time Attributes From One Relation to Another 
5. CONCLUSIONS 
The storage of historical geographic information is based 
on the state and time topologies. The proposed framework 
is a modified tuple-based time stamping approach. Since a 
historical database manigement system (HDBMS) can be 
used to manipulate the historical geographic information, 
historical queries over time, as well as efficient data shar- 
ing, data integrity, and data security can be provided by 
160 
HDBMS. The stored topological structures do not only 
simplify and speed the spatial searching, but also trap the 
data errors. This framework just records the changing 
information. When a new state emerges, this approach just 
records the new state, and amends the time duration of the 
corresponding old state. Therefore, the data redundancy is 
considerably reduced compared with the data version 
approach used in the current GIS. 
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