Name
Abstract | ||
|---|---|---|
The updating of changing information plays a significant role in ensuring the quality of OpenStreetMap, which is usually completed by mapping the whole changing objects with a high degree of uncertainty. The incremental object-based approach provides opportunities to reduce the unreliability of data, while challenges of data inaccuracy and redundancy remain. This paper provides an incremental outline-based approach for OpenStreetMap data updating to solve this issue. First, incremental outlines are delineated from the changed objects and distinguished through a spatial classification. Then, attribute information corresponding to incremental outlines is proposed to assist in describing the physical changes. Finally, through a geometric calculation based on both the spatial and attribute information, updating operations are constructed with a variety of rules to activate the data updating process. The proposed approach was verified by updating an area in the OpenStreetMap datasets. The result shows that the incremental outline-based updating approach can reduce both the time and storage costs compared to incremental objects and further improve data quality in the updating process. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/ijgi7070277 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION |
Keywords | Field | DocType |
OpenStreetMap,updating,incremental outlines,incremental changes,spatial data | Spatial analysis,Data mining,Data quality,Computer science,Redundancy (engineering),Spatial classification | Journal |
Volume | Issue | ISSN |
7 | 7 | 2220-9964 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hanfa Xing | 1 | 4 | 1.10 |
| Yuan Meng | 2 | 8 | 4.55 |
| Jun Chen | 3 | 207 | 21.33 |
| Song Jie | 4 | 15 | 6.36 |
| Kaixuan Fan | 5 | 0 | 0.34 |