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nicipalities, 
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ie old data 
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data, some 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
houses overlap roads, because of differences in 
location accuracy. Road data must be of higher 
accuracy than building data. The data had to be edited 
based on road shapes. 
  
iem AU 
NT AS 
| Originadata TK 7 f j 
  
    
De] 
Excess data | 
  
  
j 
| To be deleted Ÿ 
  
  
  
  
Figure 8. Example of excess data 
6. EVALUATION AND PROBLEMS 
6.1 Evaluation 
The partial updating methods for road and building data nearly 
meet the requirements described in Section 3 in terms of data 
freshness and location accuracy. Partial updating enhances the 
freshness more effectively than updating all the data. 
  
  
  
  
  
  
  
  
  
  
Item Requirement Total updating Partial updating 
Freshness | Latest os Every year 
i Locati Within a standard | Within a standard | Within a standard 
= ocation | leviation of deviation of deviation of 
2 | ocumey 195m 1.75 m 175m 
Freshness | Latest Every year AW comsmuction 
work 
Location Within a standard Within a standard Within a standard 
E : deviation of deviation of deviation of 
ZINN [070m 0.70 m 0.70 m 
  
  
Table 5. Evaluation result 
6.2 Problems to be solved 
Focusing on road and building data, for which demand and 
quality requirements are high, we developed partial and 
frequent updating methods in order to achieve the sustainable 
operation of a spatial data infrastructure while maintaining the 
quality of the infrastructure. 
When building data is updated, its location accuracy is not 
necessarily ensured, as the data used for updating is not 
standardized. To develop universal methods, institutional 
solutions are needed, such as standardizing the house ledgers 
and digitizing the drawings for building certification. 
House ledgers are used to calculate fixed asset taxes, and 
disclosure conditions need to be clarified to protect personal 
data. 
As location-based services grow more prevalent, demand for 
spatial information infrastructures is expected to increase. It is 
therefore necessary to explore updating methods for 
planimetric features that we did not include in this study 
because of their lower importance. Methods must not increase 
officials’ workloads but by employable as part of their daily 
31 
routines. 
Acknowledgements 
We are deeply grateful to support by union of local 
governments of Mie Prefecture.