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. 2019 Mar 14;12:106. doi: 10.1186/s13071-019-3368-0

Fig. 7.

Fig. 7

Illustration of the effect of the sliding window on the data. Image section from Germany-wide datasets of land use data in the area of Berlin. a Outline map. b Aerial photographs of the section (Senatsverwaltung für Stadtentwicklung und Wohnen Berlin, 2016). c, d Land use suitability maps based on the CORINE and ATKIS land use data before (c) and after (d) the application of the sliding window technique. These maps illustrate the model input factor “landscape suitability” on a large scale. A random area in the city of Berlin was chosen, where aerial photographs [59] can be freely utilised. The area mainly consists of continuous and discontinuous urban fabric, road and rail networks and associated land, green urban areas, gardens and water bodies. The outline map for the area of Berlin originates from geodata of the Bundesamt für Kartografie und Geodäsie [58]