University of Twente Student Theses


Map Design in a Neogeography Environment

Mlay, Iriael Jackson (2010) Map Design in a Neogeography Environment.

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Abstract:The availability and affordability of digital devices such as cell phones, camera, GPS and access to internet has brought a remarkable trend in mapping systems. Individuals use these digital devices to collect spatial data at very large scale and disseminate it on internet platforms such as Google Earth, Google Maps, Flickr etc. at small scale. This process of collecting and displaying spatial data on the internet platforms is called neogeography and the associated product is neogeography map. Neogeography data are increasing rapidly as observed in these platforms due to contribution by individuals. These data can be used for various purposes or applications. It is important to view the maps at small scale so as to get the spatial relationship between objects, making it suitable for the intended use. However, these map objects seem to be too cluttered when the maps are displayed at a small scale. This research concentrates on finding alternatives for presenting the cluttered neogeography maps in an understandable manner. One of the alternatives is the cartographic approach. Producing cartographic maps consumes both time and money. Another alternative is through summarization of neogeography topics. This was done by partitioning the neogeography data points into clusters using the clustering algorithms namely: k – means and DBSCAN. The clustered data points are converted into polygons using the bounding containers. The bounding containers used are extent tool, rectangle tool, circle tool and the convex hull tool. The summarized neogeography topics are visualized using three visualization techniques namely; application of colour to polygons, transparency and use of outline colours (hollow polygons). Conceptual interface as an option of presenting the summarized neogeography topics is also designed. Focus group was used to test if the idea of summarizing the neogeography topics to polygon or having an interface works. The result from the focus group shows that the cluttering problem of neogeography multiple topics at small scale can be minimized by summarizing the neogeography topics. Key words: Neogeography map, clustering algorithms, bounding containers, summarized neogeography topics, cartographic map and neogeography interface.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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