Chapter 3 Measurement of Landscape Quality

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Chapter 3 Measurement of Landscape Quality Mt Lofty Ranges Landscape Quality Project CHAPTER 3 MEASUREMENT OF LANDSCAPE QUALITY 3.1 COGNITIVE AND AFFECTIVE The basis of measuring landscape quality PARADIGMS lies in the science of psychophysics which was developed by Gustav Fechner (1801 – The challenge in measuring landscape 1887), an early German psychologist. quality is to appreciate its subjective nature Psychophysics measures the effect on the and to ensure that this is what is brain of stimuli from the senses – sight, measured. Many early attempts measured sound, taste, touch and smell. A vast everything in the landscape that was literature has developed in psychophysics. measurable – the height and steepness of landforms, the extent and nature of In the 1980s and 1990s, psychologists vegetative cover, water bodies, the land mainly in the US, turned their attention to uses, colours and a host of other attributes applying its methods to understanding how anticipating that through doing so, a humans comprehend landscape quality. measure of landscape quality would Researchers including Terry Daniel, emerge. It never did. Stephen and Rachel Kaplan, T.R. Herzog, Bruce Hull, Herbert Schroeder, Greg The reason is that as a subjective quality, Buhyoff, Paul Gobster, Philip Dearden, landscape quality can only be assessed Roger Urlich, and, in Australia, Allan via our affective capacity, our likes and Purcell, Richard Lamb and Ian Bishop dislikes, our aesthetic preferences, not via carried out numerous studies which our cognitive abilities which analyse and established a methodological framework logically comprehend the environment. and greatly enhanced understanding of The error was in confusing paradigms, human-landscape interaction. using the cognitive analytical approach to measure a subjective quality. The paranoia of analysts not to be subjective missed the 3.3 USE OF PHOTOGRAPHS point, it is possible to objectively measure subjective qualities. An issue which was investigated by many researchers was whether photographs Dictionaries reinforce the distinction could serve as an adequate surrogate for between the cognitive and the affective in in-field assessments of landscape quality. their definition of aesthetics as “things Research by Daniel and Boster, 1976; perceptible by the senses (i.e. affective) as Dunn, 1976; Shuttleworth, 1980; Trent, opposed to things thinkable or immaterial Neumann & Kvashny, 1987 and Stamps, (i.e. cognitive) (Shorter Oxford, 1973). 1990 established that the results of photographs could be comparable with Using an analogy from music, an field assessments. Applying meta-analysis individual’s liking for music does not derive to existing studies, Stamps (1990) found a from an analysis of the use of instruments, high correlation of 0.86 in the ratings of the number and range of notes, the photographs and on-site assessments. scoring for the orchestra, or a detailed analysis of the score. Rather it is Photographs provide significant advantage immediate and without analysis. The same in not having to transport large groups of can be said of our preferences for coffee, participants through the countryside. They chocolate, holiday destinations, even also enabled areas remote from each love… other to be assessed on a comparative basis which would not be possible through field assessment, and for the effects of 3.2 PSYCHOPHYSICS temporal landscape changes such as seasonal colour to be assessed. Finally, photographs enable the visual effects of Dr Andrew Lothian, Scenic Solutions Page 17 Mt Lofty Ranges Landscape Quality Project changes in the landscape such as new scene can otherwise appear as developments or changes in land use to be though it was taken from an aircraft; assessed using scenes with and without the change. The researchers identified a range of criteria that photographs should meet, and 3.4 COMMUNITY PREFERENCES I have extended these in my studies. The METHOD aim is that the photographs be standardised as far as possible so that the The method that the researchers differences are in the landscape quality, established has the following components: not the quality of the photograph. • Rating scale Use of a rating scale The photographs should meet the such as 1 (low) – 10 (high) by which following criteria: the landscape quality can be judged. The scale is a surrogate for landscape • Use 50 mm focal length (equivalent to quality and forces the participant to 35 mm in digital camera) in horizontal condense their assessment of the (landscape) format; use colour scene into a number. Experience of photographs - black & white may be thousands of participants in surveys more dramatic but loses the indicates that this is not difficult and dimension of colour; the results reflect closely their perception of landscape quality. • Not include people or animals as their Ratings on a 1 – 10 scale provide an inclusion enhances ratings; absolute measure of landscape quality at the interval scale which can be • Avoid photographic composition of a analysed statistically. Rankings (i.e. scene to frame a view or to lead the scene 1 is better than scene 2) only viewer into a scene; such composition compare one scene with another and enhances its appearance; are an ordinal measure which cannot be analysed statistically. • Aim for good lateral and foreground context to scenes and of typical • Survey instrument Use of a survey representative scenes, not unusual instrument – a form provided to (i.e. rare) scenes. However significant participants, or an on-line survey that features such as cliffs, waterfalls and they are invited to enter. water bodies may be included; • Participants Access to a large number • Avoid transitory effects of special of participants in the survey to achieve atmospheric lighting such as sunsets statistical validity. Based on a 5% or particularly vivid side lighting. Aim (0.05) margin of error and a for sunny cloud-free conditions to confidence interval of 95%, a sample standardise scenes against a blue of around 380 is required. sky. However this ideal may be sometimes difficult to achieve in some The technology that is now available localities; facilitates landscape surveys and was not available to the early researchers: • Extend scene to horizon and provide lateral and foreground context of • Digital cameras that allow large single landscape unit, avoid close-up numbers of photographs to be taken of confined views; the study area; typically 2 – 3,000 in a survey, thus providing a large data • Scenes from mountain tops of valleys base from which a sample may be and vistas below should include some drawn for the survey; foreground to provide context as the Dr Andrew Lothian, Scenic Solutions Page 18 Mt Lofty Ranges Landscape Quality Project • Digital manipulation of photographs through use of Photoshop® and similar • Placement of the survey on a website programs which enable features to be such as Survey Monkey® either on a removed from scenes, or proposed developments inserted for assessment; Independent variables Landscapes sampled Survey Analysis Applications and characteristics Statistical analysis of Applications of described Prepare & implement survey results and identifying knowledge involving relationships between gained including preferences and mapping of participants Dependent variable landscape components landscape quality Human preferences derived for landscapes Figure 3.1 Framework of landscape quality assessment restricted or open basis; invitations to 2. Classify the region’s landscape into participate are sent by email with the link landscape units of similar character. to the survey included, thus making it very convenient. The surveys can be entered 3. Select a set of 100 – 150 photographs to at the participant’s own work place or sample the landscape units. A survey of home and at their timing, thus not 150 scenes can be processed by most requiring attendance at say a university or participants very quickly, say 15 - 20 community centre to be shown the minutes. The brain is able to rapidly scenes. The on-line survey enables the discriminate the appropriate rating for a participant to complete it at their own scene (Herzog, 1984, 1985) and rapid pace. The survey instrument evaluation minimizes the likelihood of automatically re-randomises the scenes analysis and revision. The aim is to draw for each survey respondent. on the person’s affective judgement, not on their cognitive processes which • Statistical packages including Excel® involve analysing each scene. Around and SPSS® readily enable analysis of 20% of the survey comprises the results. benchmark scenes from outside the study area to provide a wider range of Figure 3.1 illustrates the framework for likely ratings; the range within the study measuring landscape quality through the area may extend only over 2 – 3 units of survey instrument, the dependent variable the 1 – 10 scale. (i.e. the rating of landscape quality) and the independent variables (significance of land 4. Prepare an Internet survey containing forms, land cover, water etc.), and analysing the scenes and instructions. The survey and applying the results. The method is includes randomisation of the scenes called the Community Preferences Method and automatically entering the ratings as it relies on members of the community into the data base. The survey includes expressing their landscape preferences basic demographic data (age, gender, rather than having these determined by education, birthplace) and also gauges some ‘expert’. their familiarity with the region and whether they reside
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