Predicting the quality of taxonomic maps

Mapping Sciences and Remote Sensing

Volumn 37, Issue 2, 2000, Pages 95-105

  Turk G ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; DATA QUALITY; MAPPING; PREDICTION;

EID: 0034463606     PISSN: 07493878     EISSN: None     Source Type: Journal    
DOI: 10.1080/07493878.2000.10642138     Document Type: Article

References (18)

1. A test for symmetry in contingency tables
2. A review of assessing the accuracy of classifications of remotely sensed data
3. Ground investigations in support of remote sensing
4. Symmetry and marginal homogenity of an r × r contingency table
5. Components of accuracy of maps with special reference to discriminant analysis on remote sensor data
6. Tau coefficients for accuracy assessment of classification of remote sensing data
7. A method to test for systematic differences between maps and reality using error matrices
8. Selecting and interpreting measures of thematic classification accuracy
9. A test for homogenity of the marginal distributions in a two-way classification
10. GT-Index: A measure of the success of prediction
11. The analysis of confusion matrices-letter to the editor
12. Measuring the utility of taxonomic maps-both before and after making the map
13. How to test the correctness of estimates for 'random agreement'?
14. Assessing taxonomic map quality before making the map