Is the rapid development of visualization techniques enhancing the quality of public participation in natural resource policy and management? A systematic review

Nasr-Azadani, Ellie; Wardrop, Denice H.; Brooks, Robert

doi:10.1016/j.landurbplan.2022.104586

Cited by 21 publications

(3 citation statements)

References 69 publications

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“…This methodological process addresses the gap observed in the literature about applications that mainly involve intangible heritage elements in rural areas. Indeed, most applications focus on urban space using 3D representations, and are limited to the present and to issues relating to participatory planning and decision making [56][57][58][59][60]. The methodology addresses this gap by aggregating resources and creating information nodes with potential interconnections.…”

Section: Discussionmentioning

confidence: 99%

Navigating the Past through an Interactive Geovisualisation-Driven Methodology: Locating a 15th–19th Century Paddy Field as a Source of Agroecological Knowledge

Goussios,

Faraslis

2024

Preprint

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The interconnection between the objectives of territorial development and the agro-ecological transition highlights the value of past knowledge in the sustainable management of resources and agro-ecological systems. However, retrospection in rural areas presents difficulties due to a lack of data. This paper contributes to the search for such knowledge from the past by developing an interactive methodology capable of combining heterogeneous sources of information and the activation of local collective memory. Its effectiveness is based on ensuring the interoperability of information and communication in an environment simultaneously shaped by geoinformatics and 3D geo-visualizations. This virtual environment fosters participation and interactivity, supported by representations of the paleo-landscape. Furthermore, synergies were achieved between information sources and their integration into local spatial systems. The application example involved identifying a rice field that existed from the 15th to the 19th century in Thessaly, Greece. It is an interesting case because the location and organization of cultivation in combination with its spatio-temporal coordination ensures the sustainable use of natural resources. It appears that the interplay between information and communication facilitates community participation and the activation of its collective memory as a source of information that enriches the search and local intelligence.

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Section: Discussionmentioning

confidence: 99%

Navigating the Past through an Interactive Geovisualisation-Driven Methodology: Locating a 15th–19th Century Paddy Field as a Source of Agroecological Knowledge

Goussios,

Faraslis

2024

Preprint

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“…In recent decades, research on visual aesthetic quality has undergone significant development, resulting in the establishment of a relatively mature system. Previous studies primarily relied on questionnaires to collect expert or public evaluations [19][20][21]. These evaluations often involved a series of procedures such as visual perception and conscious judgment [22].…”

Section: Introductionmentioning

confidence: 99%

How Vegetation Colorization Design Affects Urban Forest Aesthetic Preference and Visual Attention: An Eye-Tracking Study

Chen

Huang

Yuan-ping

et al. 2023

Forests

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The enhancement of the urban forest landscape through vegetation colorization has emerged as a continuous concern for urban managers in southern Chinese cities. However, the understanding of how designers can effectively select the appropriate form and intensity of colorization design to align with users’ aesthetic preferences remains limited. The process of visual perception is closely intertwined with eye movements. Employing visualization techniques, this research aims to investigate the impact of colorization design on aesthetic benefits and eye movements in urban forests, considering four intensities (slight, low, medium, and high) and three forms (aggregate, homogeneous, and random). A total of 183 participants (with an average age of 23.5 ± 2.5 years) were randomly assigned to three groups to assess the aesthetics score, while eye-tracking devices were utilized to record eye movement behaviors. The outcomes indicate that a homogeneous design form and a moderate intensity of landscaping yield higher scenic benefits for urban forests. In the case of canopy landscape, both the form and intensity of landscaping have a significant influence on urban forest aesthetics. The HCI with aggregate form showed the best marginal effect (1.313). In contrast, MCI showed the best marginal effect when the design form was random and homogeneous (1.438, 1.308). Furthermore, although the form and intensity of the colorization design significantly affect eye exploration, the perception of landscape aesthetics does not correlate with eye movements. These findings provide valuable insights for design policies aimed at promoting the urban forest landscape, while also contributing to the enrichment of research in landscape perception studies employing eye-tracking technology.

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“…While this approach is valuable, it is essential to integrate the local knowledge of stakeholders to ensure the robustness of model outcomes. The incorporation of stakeholders, their knowledge, and needs into models has been posited to result in better outcomes for stakeholders [23]. Involving stakeholders and incorporating their local knowledge in decision-making processes are necessary, as models alone can be ineffective tools [24,25].…”

Section: Introductionmentioning

confidence: 99%

The Application of Artificial Intelligence Models for Food Security: A Review

Sarku,

Clemen,

Clemen

2023

Agriculture

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Emerging technologies associated with Artificial Intelligence (AI) have enabled improvements in global food security situations. However, there is a limited understanding regarding the extent to which stakeholders are involved in AI modelling research for food security purposes. This study systematically reviews the existing literature to bridge the knowledge gap in AI and food security, focusing on software modelling perspectives. The study found the application of AI models to examine various indicators of food security across six continents, with most studies conducted in sub-Saharan Africa. While research organisations conducting AI modelling were predominantly based in Europe or the Americas, their study communities were in the Global South. External funders also supported AI modelling research on food security through international universities and research institutes, although some collaborations with local organisations and external partners were identified. The analysis revealed three patterns in the application of AI models for food security research: (1) the exclusive utilisation of AI models to assess food security situations, (2) stakeholder involvement in some aspects of the AI modelling process, and (3) stakeholder involvement in AI modelling for food security through an iterative process. Overall, studies on AI models for food security were primarily experimental and lacked real-life implementation of the results with stakeholders. Consequently, this study concluded that research on AI, which incorporates feedback and/or the implementation of research outcomes for stakeholders, can contribute to learning and enhance the validity of the models in addressing food security challenges.

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Is the rapid development of visualization techniques enhancing the quality of public participation in natural resource policy and management? A systematic review

Cited by 21 publications

References 69 publications

Navigating the Past through an Interactive Geovisualisation-Driven Methodology: Locating a 15th–19th Century Paddy Field as a Source of Agroecological Knowledge

Navigating the Past through an Interactive Geovisualisation-Driven Methodology: Locating a 15th–19th Century Paddy Field as a Source of Agroecological Knowledge

How Vegetation Colorization Design Affects Urban Forest Aesthetic Preference and Visual Attention: An Eye-Tracking Study

The Application of Artificial Intelligence Models for Food Security: A Review

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