This study proposed a method to analyze the economic benefit of the national map revision program using the replacement cost method. The replacement cost method measures the benefit of a project as the minimum cost to replace functions of the project with those of alternative goods or services in an existing market. Thus, the demands on 1/5,000 topographic map revision in 18 administrative tasks such as city and district management planning were surveyed in three local autonomous entities. Then the cost to alternatively fulfill the demands was estimated with the standard construction estimating system for the field surveying and surveying results in commercial GIS companies for the site investigation. With this cost estimation model, the benefit of the current national map revision program to the local autonomous entities was estimated as 265,960,999 won. And cost benefit ratios according to several revision frequencies from 0.5 to 4 year were also compared to find the optimal frequency.
Recently, web portals have been offering georeferenced SLI(Street-Level Imagery) services, such as Google Streetview. The SLI has a distinctive strength over aerial images or vector maps because it gives us the same view as we see the real world on the street. Based on the characteristic, applicability of the SLI can be increased substantially through conflation with other spatial datasets. However, spatial inconsistency between different datasets is the main reason to decrease the quality of conflation when conflating them. Therefore, this research aims to remove the spatial inconsistency to conflate an SLI with a widely used 2D vector map. The removal of the spatial inconsistency is conducted through three sub-processes of (1) road intersection matching between the SLI trace and the road layer of the vector map for detecting CPPs(Control Point Pairs), (2) inaccurate CPPs filtering by analyzing the trend of the CPPs, and (3) local alignment using accurate CPPs. In addition, we propose an evaluation method suitable for conflation result including an SLI, and verify the effect of the removal of the spatial inconsistency.
Tile caching technology is a commonly used method that optimizes the delivery of map imagery across the internet in modern WebGIS systems. However the poor performance of the map tile cache update is one of the major causes that hamper the wider use of this technique for datasets with frequent updates. In this paper, we introduce a new algorithm, namely, Partial Area Cache Update (PACU) that significantly minimizes redundant update of map tiles where the update frequency of source map data is very large. The performance of our algorithm is verified with the cadastral map data of Pyeongtaek of Gyeonggi Province, where approximately 3,100 changes occur in a day among the 331,594 parcels. The experiment results show that the performance of the PACU algorithm is 6.6 times faster than the ESRI ArcGIS SERVER.ⓡ . This algorithm significantly contributes in solving the frequent update problem and enable Web Map Tile Services for data that requires frequent update. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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