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Vegetation Classification and Mapping Project Report - USGS

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Table H-4. Contingency table: Management map classes.<br />

Field assessment map class<br />

Number of<br />

samples<br />

User accuracy/<br />

commission error<br />

(% correct)<br />

90%<br />

Confi dence<br />

intervals<br />

H7<br />

Map<br />

code<br />

MN6 MN7 MN23 MN19 MN20 MN3 MN4 MN24 MN2 MN5 MN11 MN9 MN10 MN21 MN12<br />

MN6 6<br />

MN7 8 2 2<br />

MN23 3 63 6 2 8 1 4<br />

MN19 1 10 1 4 2 2<br />

MN20 2<br />

MN3 1 5 66 2 17 2<br />

MN4 6 17 1<br />

MN24 1 3 1 59 5 1 1 13<br />

MN2 2 6 7 10 6 119 7 2 1 3<br />

MN5 9 6<br />

MN11 2 5 14 24 6<br />

MN9 2<br />

MN10 1<br />

MN21 4 1 10 3 1 40<br />

MN12 1 1 9<br />

Number of samples 9.0 6.0 9.0 81.0 18.0 2.0 91.0 20.0 73.0 186.0 22.0 28.0 3.0 1.0 72.0 9.0<br />

Producer<br />

NTF 100.0 88.9 77.8 55.6 100.0 72.5 85.0 80.8 64.0 27.3 85.7 66.7 100.0 55.6 100.0<br />

accuracy/omission<br />

error (%correct)<br />

90% confidence NTF 68.9 62.3 69.0 36.9 42.5 64.6 67.8 72.2 58.0 14.8 71.7 25.4 27.0 45.9 76.9<br />

interval (-)<br />

90% confidence<br />

interval (+)<br />

NTF 100.0 97.5 84.2 72.8 100.0 79.5 93.8 87.2 69.5 44.7 93.4 92.2 100.0 64.8 100.0<br />

<strong>Vegetation</strong> map database map class<br />

Overall accuracy = 68.6% Kappa index = 64.1% St<strong>and</strong>ard error = 0.02<br />

- +<br />

6 100.0 68.9 100.0<br />

12 66.7 43.1 84.1<br />

87 72.4 63.9 79.5<br />

20 50.0 32.7 67.3<br />

2 100.0 42.5 100.0<br />

93 71.0 62.7 78.0<br />

24 70.8 54.1 83.3<br />

84 70.2 61.5 77.7<br />

163 73.0 66.9 78.3<br />

15 40.0 22.3 60.7<br />

51 47.1 36.0 58.4<br />

2 100.0 42.5 100.0<br />

1 100.0 27.0 100.0<br />

59 67.8 57.3 76.8<br />

11 81.8 57.3 93.8<br />

Total number of samples:<br />

630<br />

Total correct: 432<br />

Appendix H: Accuracy Assessment Data

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