By Francis Harvey, Yee Leung
This ebook features a collection of papers from the sixteenth overseas Symposium on Spatial facts dealing with (SDH), the leading long-running discussion board in geographical details technology. This assortment deals readers exemplary contributions to geospatial scholarship and perform from the conference's thirtieth anniversary.
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Extra info for Advances in Spatial Data Handling and Analysis: Select Papers from the 16th IGU Spatial Data Handling Symposium
Authoritative stakeholders (including government, academic, and private sectors) require information that can be incorporated into reports, publications, and policy. In this case, datasets should also be considered an information product derived from VGI systems, as they are more easily converted into traditional tabular, graphic, textual, and static map outputs. In particular, developing VGI systems derived datasets to integrate into various SDIs can be of most beneﬁt, as the dataset could be the starting point for a host of research and development.
However, they claim that those landmarks would support global orientation. 3 VGI—Volunteered Geographic Information VGI describes a collective and collaborative accumulation of spatial data through a web platform (Goodchild 2007). Although typically VGI data are not as complete in coverage, thematic granularity, homogeneity and quality as authoritative data, they can provide a rich source of complementary information compared to authoritative data (Jackson et al. 2010; Sester et al. 2014). VGI data sources provide large amounts of personal knowledge, and thus hold a great potential for improving the quality of existing spatial databases used for navigation and Location Based Services (LBS).
In the analysis of foursquare data, the focus here was given to two main categories considered of having more relevance to wayﬁnding: outdoors and sights. In contrast to Wikipedia, the type of venues (named categoryName), was fairly easy to retrieve, and was clear and easy to identify into taxonomies (for example: Plaza, City Hall, Monument/Landmark, Garden, Church). A ﬁrst impression on the retrieved places seemed very promising, since it was found that many geographic features, which we did not expect to ﬁnd, did exist in foursquare, namely city districts (Neighborhood), together with other features that did not exist in the EN Wikipedia.
Advances in Spatial Data Handling and Analysis: Select Papers from the 16th IGU Spatial Data Handling Symposium by Francis Harvey, Yee Leung