Abstract
The aim of this study is to analyze the role of experimental factors in the affine coordinate transformation of cadastral maps using a 23 factorial design. The selected experimental factors and their respective levels include a map scale of 1/500–1/1,000, a number of common points 4 and 20, and the least square and least absolute value adjustment method. The results were statistically analyzed using Student’s t test, analysis of variance (ANOVA), and an F test to define the important experimental factors and their levels. A regression model that considers the significant main and interaction effects is suggested. It was determined that the affine coordinate transformation of cadastral maps was affected by all of the selected experimental factors and the interaction effects between the map scale and number of common points. As results of the experiments, it is determined that the factors levels for the reduced response variable are the 1/500 map scale, 4 common points and the Least Square Adjustment method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
