Abstract
Due to the miss of scale description information, there are several problems in geospatial visualization and map generalization when using geographic information shared on the web. This study proposed a new model to describe the scale information of vector line data from the perspective of visualization and applied this model in detecting the level of detail (LoD) of volunteered geographic information and visualization of vector data on different devices. Firstly, aiming at measuring the degree of visual coalescence quantitatively, a new index based on the idea of rasterization is designed from the point view of visual perception. This index is then used to construct a model called detail resolution to represent the intrinsic LoD information of vector line. Secondly, detail resolution is utilized to detect and identify the LoD information of OpenStreetMap water dataset. At last, whether a vector line is coalescent or not is inferred by integrating detail resolution, map resolution and device resolution. The proposed detail resolution model will substitute for map scale effectively, especially for web geospatial data like VGI. Detail resolution can support the new form of map visualization containing offline preprocessing and online scale transformation, and also overcomes the visualization problems caused by scale heterogeneity of volunteered geographic information.
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References
Hecht, R., Kunze, C., & Hahmann, S. (2013). Measuring completeness of building footprints in OpenStreetMap over space and time. ISPRS International Journal of Geo-Information, 2(4), 1066–1091.
Li, Z., & Openshaw, S. (1993). A natural principle for the objective generalization of digital maps. Cartography and Geographic Information Systems, 20(1), 19–29.
Mei, Y., Li, L., & He, B. (2008). Cartographic visualization based on boundary anti-aliasing. Geomatics and Inforamtion Science of Wuhan University, 33(7), 759.
OGC. (2011). OpenGIS® Implementation Standard for Geographic information—Simple feature access—Part 1: Common architecture OGC 06–103r4.
Shea, K. S., & McMaster, R. B. (1989). Cartographic generalization in a digital environment: When and how to generalize. In Proceedings Auto-Carto 9 (pp. 56–67).
SSC. (2005). Topographic maps—map graphics and generalization: Swiss Society of Cartography.
Touya, G., & Brando-Escobar, C. (2013). Detecting level-of-detail inconsistencies in volunteered geographic information data sets. Cartographica: The International Journal for Geographic Information and Geovisualization, 48(2), 134–143.
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Cheng, X., Wu, H., Ai, T., Yang, M. (2017). Detail Resolution: A New Model to Describe Level of Detail Information of Vector Line Data. In: Zhou, C., Su, F., Harvey, F., Xu, J. (eds) Spatial Data Handling in Big Data Era. Advances in Geographic Information Science. Springer, Singapore. https://doi.org/10.1007/978-981-10-4424-3_12
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DOI: https://doi.org/10.1007/978-981-10-4424-3_12
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