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?
Notice bibliographique
Résumé
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, societys 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 governments 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 publics 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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».