Three sampling methods for visibility measures of landscape perception

S.G. Weitkamp, A.K. Bregt, R.J.A. van Lammeren, A.E. van den Berg

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

The character of a landscape can be seen as the outcome of people¿s perception of their physical environment, which is important for spatial planning and decision making. Three modes of landscape perception are proposed: view from a viewpoint, view from a road, and view of an area. Three sampling methods to calculate visibility measures simulate these modes of perception. We compared the results of the three sampling methods for two study areas. The ROPE method provides information about subspaces. The road method enables the analysis of sequences. The grid point method calculates visibility measures at almost every location in space, providing detailed information about transitions and pattern change between original and new situations. The mean visibility values for the study areas reveal major differences between the sampling methods. Combining the results of the three methods is expected to be useful for describing all the facets of landscape perception.
Original languageEnglish
Title of host publicationSpatial information theory
EditorsS. Winter, M. Duckham, L. Kulik, B. Kuipers
Place of PublicationBerlin (Germany)
Pages268-284
DOIs
Publication statusPublished - 2007
Event8th international conference COSIT 2007; Melbourne (Australia) -
Duration: 19 Sep 200723 Sep 2007

Publication series

NameLecture notes in computer science
PublisherSpringer
Number4736

Conference

Conference8th international conference COSIT 2007; Melbourne (Australia)
Period19/09/0723/09/07

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    Weitkamp, S. G., Bregt, A. K., van Lammeren, R. J. A., & van den Berg, A. E. (2007). Three sampling methods for visibility measures of landscape perception. In S. Winter, M. Duckham, L. Kulik, & B. Kuipers (Eds.), Spatial information theory (pp. 268-284). (Lecture notes in computer science; No. 4736). Berlin (Germany). https://doi.org/10.1007/978-3-540-74788-8_17