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The Selection Methodology of Road Network Data for Generalization of Digital Topographic Map
| Content Provider | Semantic Scholar |
|---|---|
| Author | Park, Woo Jin Lee, Young Min |
| Copyright Year | 2013 |
| Abstract | Development of methodologies to generate the small scale map from the large scale map using map generalization has huge importance in management of the digital topographic map, such as producing and updating maps. In this study, the selection methodology of map generalization for the road network data in digital topographic map is investigated and evaluated. The existing maps with 1:5,000 and 1:25,000 scales are compared and the criteria for selection of the road network data, which are the number of objects and the relative importance of road network, are analyzed by using the Tpfer`s radical law and Logit model. The selection model derived from the analysis result is applied to the test data, and the road network data of 1:18,000 and 1:72,000 scales from the digital topographic map of 1:5,000 scale are generated. The generalized results showed that the road objects with relatively high importance are selected appropriately according to the target scale levels after the qualitative and quantitative evaluations. |
| Starting Page | 229 |
| Ending Page | 238 |
| Page Count | 10 |
| File Format | PDF HTM / HTML |
| DOI | 10.7848/ksgpc.2013.31.3.229 |
| Volume Number | 31 |
| Alternate Webpage(s) | http://ocean.kisti.re.kr/downfile/volume/ksgpc/GCRHBD/2013/v31n3/GCRHBD_2013_v31n3_229.pdf |
| Alternate Webpage(s) | https://doi.org/10.7848/ksgpc.2013.31.3.229 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
