Influence of sample size on line-based positional assessment methods for road data
| Autor: | Manuel Antonio Ureña-Cámara, José L. García-Balboa, José Rodríguez-Avi, A. T. Mozas-Calvache, Francisco Javier Ariza-López, Juan José Ruiz-Lendínez, Virtudes Alba-Fernández |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
education.field_of_study
Population Sampling (statistics) Sample (statistics) Atomic and Molecular Physics and Optics Computer Science Applications Sample size determination Assessment methods Statistics Line (geometry) Range (statistics) Computers in Earth Sciences education Engineering (miscellaneous) Mathematics Statistical hypothesis testing |
| Zdroj: | ISPRS Journal of Photogrammetry and Remote Sensing. 66:708-719 |
| ISSN: | 0924-2716 |
| DOI: | 10.1016/j.isprsjprs.2011.06.003 |
| Popis: | Sample size influences considerably the variability of results of estimation processes, but this issue has never previously been analyzed for line-based positional assessment methods. The basis of the analysis is a simulation process which extracts homologous road axes from the product and from the control survey and applies the four methods. Sample sizes of road axes range from 10 Km up to 200 Km, and for each sample size 1000 simulations were run. Results for each sample size were compared to population parameters or population distribution functions by means of statistical tests. The variability of estimations was reduced in the order of 2.5–4.5 times when sample size increased from 10 Km to 200 Km. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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