|Title:||Archiving digital maps with GeoPackage and vector-tile dissemination||Language:||English||Authors:||Chen, Yunnan||Qualification level:||Diploma||Advisor:||Gartner, Georg||Assisting Advisor:||Jobst, Markus||Issue Date:||2019||Number of Pages:||65||Qualification level:||Diploma||Abstract:||
The preservation of digital maps has been a long-term challenge for the cartographic community, GIS industry, and related mapping agencies. As a special type of digital data, digital maps not only contains geospatial datasets, but also requires the metadata and styling information associated with datasets. However, research has shown that most digital mapping archive projects in the world are using the shapefile and GeoTIFF format to store geospatial data, which cannot completely fulfill the principles of digital map preservation. Thus, an alternative method is necessary to satisfy the need for digital map preservation. This thesis proposes a new approach to archive digital maps using GeoPackage format and to disseminate digital maps using vector tile format. For this thesis, a case study was conducted using the Austrian Cartographic Model with national map styling. The new approach allows the archiving and sharing processes to be conducted in a free, cross-platform, and open-source environment using QGIS and Geoserver. In addition, a Python script has been developed to provide a user-friendly interface and to minimize the human effort during the process of embedding metadata. Based on the results from the case study, this thesis proposes an innovative approach to embed relevant metadata for future usage in digital maps using GeoPackage and to embed styling from GeoPackage when distributing digital maps that use vector-tile format. It also shows the possibility of using Python scripts to automate the procedure of embedding relevant information into GeoPackage.
|Keywords:||Digital Map Preservation; Geopackage; Metadata; Map Style; Vector Tile; Python||URI:||https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-123065
|Library ID:||AC15339782||Organisation:||E120 - Department für Geodäsie und Geoinformation||Publication Type:||Thesis
|Appears in Collections:||Thesis|
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checked on Apr 28, 2021
checked on Apr 28, 2021
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