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1. Transferability of decision-support tools

Author:
Street, Roger B.; Pringle, Patrick; Lourenço, Tiago Capela; Nicolletti, Mariana
Source:
Climatic change 2019 v.153 no.4 pp. 523-538
ISSN:
0165-0009
Subject:
decision support systems,   etc   ; climate change; Brazil; Portugal;     Show all 4 Subjects
Abstract:
... The potential for transferring and translating existing adaptation to climate change decision-support tools for use in different settings provides both opportunities and challenges to those wanting to support such decisions in or for the targeted community/organisation. The opportunities are related to being able to build on an existing credible and tested tool and its supportive resources and for ...
DOI:
10.1007/s10584-018-2263-6

2. Towards a decision support framework for technologies used in cold supply chain traceability

Author:
Óskarsdóttir, Kristín; Oddsson, Guðmundur Valur
Source:
Journal of food engineering 2019 v.240 pp. 153-159
ISSN:
0260-8774
Subject:
decision support systems,   etc   ; supply chain; traceability;     Show all 3 Subjects
Abstract:
... In recent years, a need for product traceability in the cold supply chain has emerged. The purpose of this study was to identify and map out different kinds of identification technologies and techniques used for cold supply chain traceability. This was done by looking into what traceability solutions are available right now through literature review. The results from this review were then further ...
DOI:
10.1016/j.jfoodeng.2018.07.013

3. How to measure and report within-field variability: a review of common indicators and their sensitivity

Author:
Leroux, Corentin; Tisseyre, Bruno
Source:
Precision agriculture 2019 v.20 no.3 pp. 562-590
ISSN:
1385-2256
Subject:
decision support systems,   etc   ; agricultural land; autocorrelation; case studies;     Show all 4 Subjects
Abstract:
... In agricultural fields, observations near in space share more similarities than observations far apart. This phenomenon of closely related points, the so-called spatial autocorrelation or in that case, the within-field spatial variability, is well-recognized and needs to be characterized to consider site-specific management. Quantifying spatial dependency is fundamental for understanding the under ...
DOI:
10.1007/s11119-018-9598-x

4. Improved disaggregation of conventional soil maps

Author:
Møller, Anders Bjørn; Malone, Brendan; Odgers, Nathan P.; Beucher, Amélie; Iversen, Bo Vangsø; Greve, Mogens Humlekrog; Minasny, Budiman
Source:
Geoderma 2019 v.341 pp. 148-160
ISSN:
0016-7061
Subject:
decision support systems,   etc   ; algorithms; soil texture; soil types; wetlands; Denmark;     Show all 6 Subjects
Abstract:
... The disaggregation of conventional soil maps is an alternative for producing high-quality soil maps when point observations are not available. Previous studies developed the DSMART algorithm (“Disaggregation and Harmonisation of Soil Map Units Through Resampled Classification Trees”) for this purpose. In this study, we tested the sensitivity of DSMART towards the input data by using two different ...
DOI:
10.1016/j.geoderma.2019.01.038

5. Beyond the tools: supporting adaptation when organisational resources and capacities are in short supply

Author:
Fünfgeld, Hartmut; Lonsdale, Kate; Bosomworth, Karyn
Source:
Climatic change 2019 v.153 no.4 pp. 625-641
ISSN:
0165-0009
Subject:
decision support systems,   etc   ; climate change; ownership; research projects; Victoria (Australia);     Show all 5 Subjects
Abstract:
... Climate change adaptation is increasingly concerned with how organisations develop capacity to adapt to uncertain futures. A participatory action research project conducted in Victoria, Australia, examined how health and social service organisations developed their organisational adaptive capacity through the use of adaptation decision-support tools. It can be challenging for any organisation to s ...
DOI:
10.1007/s10584-018-2238-7

6. Co-designing adaptation decision support: meeting common and differentiated needs

Author:
Webb, Robert; Rissik, David; Petheram, Lisa; Beh, Jie-Lian; Stafford Smith, Mark
Source:
Climatic change 2019 v.153 no.4 pp. 569-585
ISSN:
0165-0009
Subject:
decision support systems,   etc   ; climate change; learning; product development; Australia;     Show all 5 Subjects
Abstract:
... As exposure to climate change increases, there is a growing need for effective adaptation decision support products across public, private and community sectors and at all scales (local, regional, national, international). Numerous guidance products have been developed, but it is not clear to what extent they meet end-user needs, especially as development has been fragmented and many products lack ...
DOI:
10.1007/s10584-018-2165-7

7. Managing trade-offs in complex scenarios: A decision-making tool for sustainability projects

Author:
de Magalhães, Ruane Fernandes; Danilevicz, Ângela de Moura Ferreira; Palazzo, Joseph
Source:
Journal of cleaner production 2019 v.212 pp. 447-460
ISSN:
0959-6526
Subject:
decision support systems,   etc   ; decision making; guidelines; planning; technicians; traceability;     Show all 6 Subjects
Abstract:
... The inclusion of sustainability factors in projects is considered a challenge for technicians, managers and decision makers. Sustainability projects deal with a large number of criteria from different areas, making the decision-making process more complex and uncertain. Multicriteria methods can guide project choices to reach their objectives; however, they are not able to manage the overlap and c ...
DOI:
10.1016/j.jclepro.2018.12.023

8. Knowledge integration in Marine Spatial Planning: A practitioners' view on decision support tools with special focus on Marxan

Author:
Janßen, Holger; Göke, Cordula; Luttmann, Anne
Source:
Ocean & coastal management 2019 v.168 pp. 130-138
ISSN:
0964-5691
Subject:
decision support systems,   etc   ; coastal zone management; planning; stakeholders;     Show all 4 Subjects
Abstract:
... Modern ecosystem-based forms of marine management such as Marine Spatial Planning (MSP) deal with various complex systems and often with huge amounts of data. Software-based simulative and analytical tools are therefore frequently mentioned in the scientific literature on marine management approaches. But in addition to the evolution of management approaches, the requirements for more integrated t ...
DOI:
10.1016/j.ocecoaman.2018.11.006

9. How ecological networks could benefit from landscape graphs: A response to the paper by Spartaco Gippoliti and Corrado Battisti

Author:
Foltête, Jean-Christophe
Source:
Land use policy 2019 v.80 pp. 391-394
ISSN:
0264-8377
Subject:
decision support systems,   etc   ; graphs; habitats; landscapes; models; planning;     Show all 6 Subjects
Abstract:
... Ecological networks are tools for conservation planning that rely on the concept of connectivity. Criticisms leveled at them are that they are widely used in a dogmatic way regardless of how they compare against other tools and that their efficiency is rarely assessed. I propose to include landscape graphs in the debate because they are designed to be operational models of ecological networks. I o ...
DOI:
10.1016/j.landusepol.2018.04.020

10. Testing an environmental flow-based decision support tool: Evaluating the fish model in the Murray Flow Assessment Tool

Author:
Lester, Rebecca E.; Pollino, Carmel A.; Cummings, Courtney R.
Source:
Environmental modelling & software 2019 v.111 pp. 72-93
ISSN:
1364-8152
Subject:
decision support systems,   etc   ; data collection; fish; habitats; hydrology; moieties; monitoring;     Show all 7 Subjects
Abstract:
... Robust environmental decision support tools are critical to maximise the ecological benefit of management decisions. However the models that underpin these rarely undergo rigorous evaluation. Here, we evaluated components of a scenario-based habitat suitability model, the Murray Flow Assessment Tool, by correlating model outputs against fish monitoring data collected since its development. Overall ...
DOI:
10.1016/j.envsoft.2018.09.012

11. A rigorous fastener inspection approach for high-speed railway from structured light sensors

Author:
Mao, Qingzhou; Cui, Hao; Hu, Qingwu; Ren, Xiaochun
Source:
ISPRS journal of photogrammetry and remote sensing 2018 v.143 pp. 249-267
ISSN:
0924-2716
Subject:
decision support systems,   etc   ; fasteners; railroads;     Show all 3 Subjects
Abstract:
... Rail fasteners are critical components in high-speed railway. Therefore, they are inspected periodically to ensure the safety of high-speed trains. Manual inspection and two-dimensional visual inspection are the commonly used methods. However, both of them have drawbacks. In this paper, a rigorous high-speed railway fastener inspection approach from structured light sensors is proposed to detect d ...
DOI:
10.1016/j.isprsjprs.2017.11.007

12. Visual characteristics for sequencing of overlapping bloodstain patterns

Author:
van Steijn, L.J.; Limborgh, J.C.M.; Edelman, G.J.
Source:
Forensic science international 2018 v.286 pp. 166-176
ISSN:
0379-0738
Subject:
decision support systems,   etc   ; crime; surveys;     Show all 3 Subjects
Abstract:
... The deposition sequence of overlapping bloodstain patterns can be valuable reconstructive information. A formal method for sequencing overlapping bloodstain patterns has yet to be published. We present a method for sequencing overlapping transfer and drip stains using visual characteristics. A survey was held amongst educated bloodstain pattern analysts to determine whether the newly acquired meth ...
DOI:
10.1016/j.forsciint.2018.02.023

13. Addressing the issue of digital mapping of soil classes with imbalanced class observations

Author:
Sharififar, Amin; Sarmadian, Fereydoon; Malone, Brendan P.; Minasny, Budiman
Source:
Geoderma 2019 v.350 pp. 84-92
ISSN:
0016-7061
Subject:
decision support systems,   etc   ; USDA; computer-aided mapping; frequency distribution; models; regression analysis; soil profiles; uncertainty; Iran;     Show all 9 Subjects
Abstract:
... Considering the nature of soils distribution, an important modeling issue in soil class mapping is imbalanced class observations. Imbalanced number of data in observed soil classes in an area can result in the underestimation or loss of minority classes and an overestimation of the majority classes in predictive modeling. The effect of this phenomenon is that an area of land with comparatively few ...
DOI:
10.1016/j.geoderma.2019.05.016

14. An intelligence evaluation method of the environmental impact for the cutting process

Author:
Yu-gang, Wang; Shi-chao, Xiu
Source:
Journal of cleaner production 2019 v.227 pp. 229-236
ISSN:
0959-6526
Subject:
decision support systems,   etc   ; algorithms; artificial intelligence; automobiles; cutting; decision making; environmental impact; neural networks; utilities; wastes;     Show all 10 Subjects
Abstract:
... Environmental impact evaluations in manufacturing fields is a complicated decision-making problem, which involves wastes emission, resource consumption and energy utility, etc. This paper presents an intelligence method for environmental impact evaluation using kernel fuzzy clustering and a back-propagation neural network. The objective of this article is to apply artificial intelligence technolog ...
DOI:
10.1016/j.jclepro.2019.03.336

15. European decision support modelling of long-term external doses received in inhabited areas contaminated by a nuclear power plant accident – 1: Initial relative dose rate contributions from different contaminated outdoor surfaces

Author:
Hinrichsen, Yvonne; Andersson, Kasper G.
Source:
Journal of environmental radioactivity 2019 v.204 pp. 143-153
ISSN:
0265-931X
Subject:
decision support systems,   etc   ; accidents; models; nuclear power; power plants; prediction; radioactivity;     Show all 7 Subjects
Abstract:
... Dose prediction tools making use of existing knowledge on the environmental behaviour of radiocontaminants are essential for justification and optimisation of recovery countermeasure strategies for contaminated inhabited areas. In this context, one necessary requirement is to estimate the relative initial contaminant distribution on different types of surfaces in the environment and the resultant ...
DOI:
10.1016/j.jenvrad.2019.04.008

16. Planning regional sustainability: An index-based framework to assess spatial plans. Application to the region of Cantabria (Spain)

Author:
Nogués, Soledad; González-González, Esther; Cordera, Rubén
Source:
Journal of cleaner production 2019 v.225 pp. 510-523
ISSN:
0959-6526
Subject:
decision support systems,   etc   ; case studies; issues and policy; monitoring; planning; principal component analysis; sustainable development; Spain;     Show all 8 Subjects
Abstract:
... Sustainable development and territorial cohesion are key objectives of spatial plans and policies. In order to assess the efficiency of planning measures to achieve sustainability, spatial plans are introducing evaluation and monitoring tools based on the use of indicators. This paper defines an assessment framework which permits quantifying the sustainability degree at both local and regional lev ...
DOI:
10.1016/j.jclepro.2019.03.328

17. High throughput bar adsorptive microextraction: A novel cost-effective tool for monitoring benzodiazepines in large number of biological samples

Author:
Ahmad, S.M.; Nogueira, J.M.F.
Source:
Talanta 2019 v.199 pp. 195-202
ISSN:
0039-9140
Subject:
decision support systems,   etc   ; blood serum; cost effectiveness; desorption; diazepam; high performance liquid chromatography; microextraction; monitoring; urine;     Show all 9 Subjects
Abstract:
... In this work, we propose an innovative high throughput (HT) apparatus using the bar adsorptive microextraction (BAμE) technique, which enables the simultaneous enrichment of up to 100 samples. This novel configuration was combined with microliquid desorption and high-performance liquid chromatography-diode array detection to monitor trace levels of eight benzodiazepines (diazepam, prazepam, bromaz ...
DOI:
10.1016/j.talanta.2019.02.004

18. A classification point-of-view about conditional Kendall’s tau

Author:
Derumigny, Alexis; Fermanian, Jean-David
Source:
Computational statistics & data analysis 2019 v.135 pp. 70-94
ISSN:
0167-9473
Subject:
decision support systems,   etc   ; algorithms; artificial intelligence; data collection; neural networks; statistical analysis;     Show all 6 Subjects
Abstract:
... It is shown how the problem of estimating conditional Kendall’s tau can be rewritten as a classification task. Conditional Kendall’s tau is a conditional dependence parameter that is a characteristic of a given pair of random variables. The goal is to predict whether the pair is concordant (value of 1) or discordant (value of −1) conditionally on some covariates. The consistency and the asymptotic ...
DOI:
10.1016/j.csda.2019.01.013

19. Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution

Author:
Shirzadi, Ataollah; Solaimani, Karim; Roshan, Mahmood Habibnejad; Kavian, Ataollah; Chapi, Kamran; Shahabi, Himan; Keesstra, Saskia; Ahmad, Baharin Bin; Bui, Dieu Tien
Source:
Catena 2019 v.178 pp. 172-188
ISSN:
0341-8162
Subject:
decision support systems,   etc   ; case studies; guidelines; landslides; models; prediction; uncertainty; Iran;     Show all 8 Subjects
Abstract:
... Understanding landslide characteristics such as their locations, dimensions, and spatial distribution is of highly importance in landslide modeling and prediction. The main objective of this study was to assess the effect of different sample sizes and raster resolutions in landslide susceptibility modeling and prediction accuracy of shallow landslides. In this regard, the Bijar region of the Kurdi ...
DOI:
10.1016/j.catena.2019.03.017

20. Object-based image analysis of suburban landscapes using Landsat-8 imagery

Author:
Shang, Ming; Wang, Shixin; Zhou, Yi; Du, Cong; Liu, Wenliang
Source:
International journal of digital earth 2019 v.12 no.6 pp. 720-736
ISSN:
1753-8955
Subject:
decision support systems,   etc   ; Landsat; image analysis; landscapes; remote sensing; suburban areas; support vector machines; trees;     Show all 8 Subjects
Abstract:
... Many experiments of object-based image analysis have been conducted in remote sensing classification. However, they commonly used high-resolution imagery and rarely focused on suburban area. In this research, with the Landsat-8 imagery, classification of a suburban area via the object-based approach is achieved using four classifiers, including decision tree (DT), support vector machine (SVM), ran ...
DOI:
10.1080/17538947.2018.1474959