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About landscape perception and the ability to communicate. Can landscape perception research provide a tool for starting a dialogue between different users of the countryside?

2009· article· en· W7017440493 sur OpenAlexaboutno aff

Notice bibliographique

RevueLirias · 2009
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueUrban Green Space and Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPerceptionMatching (statistics)IncentiveAgricultureLandscape assessmentLandscape designLandscape archaeology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

About landscape perception and the ability to communicate. Can landscape perception research provide a tool for starting a dialogue between diff erent users of the countryside? More and more, society’s expectations of rural landscapes are rising and farmers are increasingly stimulated to incorporate ‘green services’ int o their operational management. This assumes matching perceptions of the landscape between farmers, landscape experts and the general public. A psychophysical method based on a picture enquiry was used to measure landscape perception in the ‘Pajottenland’, a central Belgian, r ural area. Additional questions assessed the importance of meanings and functions of the landscape and revealed differences in perception among three target groups (farmers, landscape experts and country-dwellers). T he results confirmed that the three groups look at landscapes in a diffe rent way, attaching importance to different landscape features and findi ng different functions appropriate for the considered landscapes. As a c onsequence, policies concerning landscape servicing by the farming commu nity should incorporate appropriate incentives of communication and gene rate modes of understanding between different stakeholders. Rogge, E. Nevens, F. and Gulinck H. 2007. Perception of rural landscapes in Flanders: Looking beyond aesthetics. Landscape and Urban Planning, Volume 82 (4) pp. 159-174 The intensification of greenhouse horticulture is a commonly occurring t rend in many regions around the world, including the Netherlands, Austra lia, Canada, Spain, the U.S., and the U.K. One typical characteristic of this intensification is that high-technology and large-scale greenhouse s are being built. An additional phenomenon is the clustering of several of these large greenhouses on a single site, into so-called ‘greenhouse parks’. The main incentive for this clustering is the reduction of prod uction costs by sharing infrastructure such as energy, water and gas fac ilities. In Flanders the development of greenhouse clusters is being enc ouraged and promoted by the Flemish government’s Agricultural Department . One of the major problems all developments of this size face is their impact on the aesthetics of the surrounding landscape, and this may even prevent their realisation. In recent years there has been an increasing resistance against the construction of large greenhouses in Flanders. T he visual impact of these clusters seems to be one of the major obstacle s to their public acceptance. The wider public’s perception of large gre enhouses should therefore not be neglected by policy makers and planners if they want to succeed in developing large-scale projects. This percep tion is, however, hard to objectify, let alone to measure. In this paper , we demonstrate the value of a GIS-based method to objectively quantify the visual impact of large-scale greenhouse developments. We also asses s the potential of a GIS-based planning instrument to evaluate the effec tiveness of ‘landscape design plans’. Rogge, E., F. Nevens and H. Gulinck (2008) Reducing the visual impact of ‘greenhouse parks’ in rural landscapes. Landscape and urban planning 87 (1) pp. 76-83 The intensification of greenhouse horticulture is a notable trend in man y regions around the world. This intensification causes the grouping of large-scale greenhouses on a single site, into so-called ‘greenhouse clu sters’. The main incentive for clustering is the reduction of production costs by sharing infrastructure such as energy, water and gas facilitie s. Despite these advantages, the public remains sceptic towards greenhou se clusters and resistance in Flanders is frequent and often fierce. The objective of this research is to obtain insight into the reasons, under lying motives and processes that steer this resistance. A grounded theor y approach resulted in a comprehensive theoretical scheme that visualize s the key factors that underlie and make up the process of public resist ance. In addition to the expected NIMBY-syndrome and the fear for the lo ss of landscape quality, societal values, market related factors and str uctural problems also play a part in the formation of the public attitud e towards greenhouse clusters. Rogge, E., Dessein, J. and Gulinck H. 2008. Public attitude towards majo r landscape changes: The case of greenhouse clusters in Flanders. Submit ted to Sociologia Ruralis

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,020
Score d'incertitude au seuil0,575

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,318
Écart entre enseignants0,272 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2009
Routes d'admission1
Résumé présentoui

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