A Dynamic Integration Method for Borderland Database using OSM data
Spatial data is the fundamental of borderland analysis of the geography, natural resources, demography, politics, economy, and culture. As the spatial region used in borderland researching usually covers several neighboring countries’ borderland regions, the data is difficult to achieve by one resea...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2013-11-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W3/141/2013/isprsarchives-XL-4-W3-141-2013.pdf |
| Summary: | Spatial data is the fundamental of borderland analysis of the geography, natural resources, demography, politics, economy,
and culture. As the spatial region used in borderland researching usually covers several neighboring countries’ borderland regions,
the data is difficult to achieve by one research institution or government. VGI has been proven to be a very successful means of
acquiring timely and detailed global spatial data at very low cost. Therefore VGI will be one reasonable source of borderland spatial
data. OpenStreetMap (OSM) has been known as the most successful VGI resource. But OSM data model is far different from the
traditional authoritative geographic information. Thus the OSM data needs to be converted to the scientist customized data model.
With the real world changing fast, the converted data needs to be updated. Therefore, a dynamic integration method for borderland
data is presented in this paper. In this method, a machine study mechanism is used to convert the OSM data model to the user data
model; a method used to select the changed objects in the researching area over a given period from OSM whole world daily diff file
is presented, the change-only information file with designed form is produced automatically. Based on the rules and algorithms
mentioned above, we enabled the automatic (or semiautomatic) integration and updating of the borderland database by programming.
The developed system was intensively tested. |
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| ISSN: | 1682-1750 2194-9034 |