come to a agreement on the size of the sample referring to this 
graph. 
  
T RER 
  
no.of map Consumer |producer | 
[--— ERE ele re 
16] 0.109 ! 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
| 
— (| 1055) | | u 
^" 13 4.542. — | u 
12 11.581 | 
11] 19.457) _ i 
10] 22.939 I 
[5 19577 4 
8 12.324 H 
5 3| 53053 I 
quu soic® 2.02, Í 
5 0.525) — 1614 13 12 M 109 0 7 86 5 4 3 21 0 | 
KA eom ON no. of map 
31 094 
| 2 1 —{—- consumer — —®—— producer 
iL. 9 
9| 9j ess TS 
Fig. 3.1 Sample size considering consumer risk and producer risk 
4. CONCLUSION 
The following conclusion can be made through this study on 
the evaluation of digitized maps of Geo-Spatial Information 
System. 
1) An appropriate level of accuracy can be evaluated through a 
statistical test considering both the consumer and producer risk. 
2) The hypergeometric distribution is suitable for the 
determination of the sample size and the ratio of sample size 
decreases with the increase of the total number of sheets. 
S. REFERENCES 
1.  K.Thaph, J.Bossler, Accuracy of Spatial Data Used in 
Geographic Information System, PE&RS, VOL.48, No. 6, 
1992, pp. 835-841 
2 Michael E, G., Testing Land-Use Map Accuracy: Another 
Look, PE&RS, Vol. 45, No. 10, 1979, pp. 1371-1377. 
3.  G.H. Rosenfeld et. al, Sampling for Thematic Map 
Accuracy Testing, PE&RS, Vol, 48, No. 1, 1982, 
pp.131-137. 
4. | S.Aronotf, Classification Accuracy: A User Approach, 
PE&RS, Vol. 48, No. 8, 1982, pp. 1309-1313. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996