Editorial
Our visual landscape: analysis, modeling, visualization and protection

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References (4)

  • Bishop, I.D., 1999. Modeling landscape change: visualization and perception. In: Usher, M.B. (Ed.), Landscape...
  • Elsner, G.H., Smardon, R.C., 1979. Our national landscape: a conference on applied techniques for analysis and...
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Cited by (16)

  • Themes and trends in visual assessment research: Introduction to the Landscape and Urban Planning special collection on the visual assessment of landscapes

    2019, Landscape and Urban Planning
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    Landscape visualization has always been an integral part of visual quality and visual impact assessments, from early use of photomontage and model landscape simulators, to digital imaging, to more recent forays into 3-D modeling and augmented reality to envision landscape futures (Lange, 2011; Sheppard, 1982; USDI Bureau of Land Management, 1980b; Zube, Simcox, & Law, 1987). Landscape and Urban Planning has devoted three Special Issues to landscape visualization over the years (Foo, Gallagher, Bishop, & Kim, 2015; Lange & Bishop, 2001; Orland, 1992), and while earlier accounts of “new” technologies can often sound dated, when considered in the context of current work one quickly gains an appreciation for how much the accumulation of experience has impacted the development of the field. For example, the digital manipulation of photographs to evaluate landscape changes has become commonplace in landscape preference studies (Bishop, 1992, 2019a).

  • Visualization for planning and management of oceans and coasts

    2014, Ocean and Coastal Management
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    These evolved into before and after replications based in real-world views. Analog photomontage and then digital photomontage became the next generation (Lange and Bishop 2001). Now virtual environments have the potential to become cutting-edge tools for simulating land and seascapes.

  • Identification of landscapes for drafting Natura 2000 network Management Plans: A case study in Sicily

    2011, Landscape and Urban Planning
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    Identification can be carried out using various approaches which have been systematically developed since 1960 and have appeared in many scientific publications. Our bibliography only reports the most significant (Claval, 2005; Dramstad et al., 2006; Lange and Bishop, 2001; Nohl, 2001; Ode et al., 2010; Scazzosi, 2002; Tilt et al., 2007; Tveit et al., 2006; Vroom, 1986). The most commonly used methods are based on visual surveys (Sevenant and Antrop, 2007), directly carried out in the field or with photos (Canas et al., 2009).

  • 99 volumes later: We can visualise. Now what?

    2011, Landscape and Urban Planning
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    Cellular automata act based on rules affecting neighbouring cells of a grid, while autonomous agents are able to pursue programmed goals (such as finding a route on a mountain top, Cavens et al., 2003), which can also include learning or communicating with other agents. The third and most recent Special Issue dedicated to this topic was from the 1999 Ascona conference, “Our Visual Landscape: Analysis, Modelling, Visualization and Protection” (Lange and Bishop, 2001). It addressed landscape assessment, GIS-modelling, visual representation, and perceptual issues in digital landscape representation.

  • NED-2: A decision support system for integrated forest ecosystem management

    2005, Computers and Electronics in Agriculture
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    While tabular or chart formats are well suited for illustrating basic stand attributes, they cannot convey important visual characteristics of stands, for example, form, color, and spatial dimensions. Visualization can be especially critical in the context of ecosystem management, because principles from numerous resource specialties must be presented (Bergen et al., 1995; Bajuk, 1998; McGaughey, 1998; McQuillan, 1998; Domik, 2000; Bell, 2001; Lange and Bishop, 2001). As NED DSS users develop goals for their properties, visualizations that illustrate changes that are expected to occur over time will provide them with a more complete understanding of how their goals may be realized or that within a particular management scenario, certain goals cannot not be met in the same place at the same time.

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