This study aimed to accurately estimate the workload coefficients essential for calculating the cost of digital map production by applying optimal interpolation methods. To estimate the workload coefficients for scales not specified in the standard co...
This study aimed to accurately estimate the workload coefficients essential for calculating the cost of digital map production by applying optimal interpolation methods. To estimate the workload coefficients for scales not specified in the standard cost estimation, both spline and polynomial interpolation methods were applied, and their results were analyzed. The significant increase in workload coefficients for small-scale maps, such as scales of 1:250,000 and 1:1,000,000, was found to be reasonable when considering the actual construction target area in cost calculation. The comparison of average errors between the workload coefficients based on spline and polynomial interpolation revealed average errors for digitalization workload coefficients of 0.0014, vector editing workload coefficients of 0.1067, geopositioning editing workload coefficients of 0.0039, and drawing production workload coefficients of 0.0006, resulting in a total average error of 0.0281. These findings can serve as a basis for improving the accuracy of cost calculation in digital map production and offer methodological standards that can be applied in similar research, by exploring the applicability of various interpolation methods.