Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR028013 |
Exploration and Visualization of Patterns underlying Multi‐Stakeholder Preferences in Watershed Conservation Decisions Generated by an Interactive Genetic Algorithm | |
Adriana Debora Piemonti; Mariam Guizani; Meghna Babbar‐; Sebens; Eugene Zhang; Snehasis Mukhopadhyay | |
2021-04-07 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | In multiple watershed planning and design problems, such as conservation planning, quantitative estimates of costs and environmental benefits of proposed conservation decisions may not be the only criteria that influence stakeholders’ preferences for those decisions. Their preferences may also be influenced by the conservation decision itself – specifically, the type of practice, where it is being proposed, existing biases, and previous experiences with the practice. While human‐in‐the‐loop type search techniques, such as Interactive Genetic Algorithms (IGA), provide opportunities for stakeholders to incorporate their preferences in the design of alternatives, examination of user‐preferred conservation design alternatives for patterns in Decision Space can provide insights into which local decisions have higher or lower agreement among stakeholders. In this paper, we explore and compare spatial patterns in conservation decisions (specifically involving cover crops and filter strips) within design alternatives generated by IGA and non‐interactive GA. Methods for comparing patterns include non‐visual as well as visualization approaches, including a novel visual analytics technique. Results for the study site show that user‐preferred designs generated by all participants had strong bias for cover crops in a majority (50% ‐ 83%) of the sub‐basins. Further, exploration with heat maps visualization indicate that IGA‐based search yielded very different spatial patterns of user‐preferred decisions in sub‐basins in comparison to decisions within design alternatives that were generated without the human‐in‐the‐loop. Finally, the proposed coincident‐nodes, multi‐edge graph visualization was helpful in visualizing disagreement among participants in local sub‐basin scale decisions, and for visualizing spatial patterns in local sub‐basin scale costs and benefits. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/321987 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Adriana Debora Piemonti,Mariam Guizani,Meghna Babbar‐,等. Exploration and Visualization of Patterns underlying Multi‐Stakeholder Preferences in Watershed Conservation Decisions Generated by an Interactive Genetic Algorithm[J]. Water Resources Research,2021. |
APA | Adriana Debora Piemonti,Mariam Guizani,Meghna Babbar‐,Sebens,Eugene Zhang,&Snehasis Mukhopadhyay.(2021).Exploration and Visualization of Patterns underlying Multi‐Stakeholder Preferences in Watershed Conservation Decisions Generated by an Interactive Genetic Algorithm.Water Resources Research. |
MLA | Adriana Debora Piemonti,et al."Exploration and Visualization of Patterns underlying Multi‐Stakeholder Preferences in Watershed Conservation Decisions Generated by an Interactive Genetic Algorithm".Water Resources Research (2021). |
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