scholarly journals Scale Optimization in Topographic and Hydrographic Feature Mapping Using Fractal Analysis

2020 ◽  
Vol 9 (11) ◽  
pp. 631
Author(s):  
Christos Karydas ◽  
Bin Jiang
Keyword(s):  
Earth Science ◽  
River Basins ◽  
New Method ◽  
Management Decision ◽  
Topological Transformation ◽  
Input Dataset ◽  
Management Decision Making ◽  
Heavy Tailed ◽  
Hydrographic Features ◽  
Elevation Model

A new method for selecting optimal scales when mapping topographic or hydrographic features is introduced. The method employs rank-size partition of heavy-tailed distributions to detect nodes of rescaling invariance in the underlying hierarchy of the dataset. These nodes, known as head/tail breaks, can be used to indicate optimal scales. Then, the Fractal Net Evolution Assessment (FNEA) segmentation algorithm is applied with the topographic or hydrographic surfaces to produce optimally scaled objects. A topological transformation allows linking the two processes (partition and segmentation), while fractal dimension of the rescaling process is employed as an optimality metric. The new method is experimented with the two biggest river basins in Greece, namely Pinios and Acheloos river basins, using a digital elevation model as the only input dataset. The method proved successful in identifying a set of optimal scales for mapping elevation, slope, and flow accumulation. Deviation from the ideal conditions for implementing head/tail breaks are discussed. Implementation of the method requires an object-based analysis program and few common geospatial functions embedded in most GIS programs. The new method will assist in revealing underlying environmental processes in a variety of earth science fields and, thus, assist in land management decision-making and mapping generalization.

scholarly journals Evaluating the sensitivity of the LUCI model to GIS datasets to enable robust farm management decisions in New Zealand

2021 ◽  
Author(s):  
◽  
Alicia I. Taylor
Keyword(s):  
New Zealand ◽  
Nutrient Loading ◽  
Farming Systems ◽  
Alternative Methods ◽  
Management Decision ◽  
Level Data ◽  
Digital Elevation ◽  
Management Decision Making ◽  
Farm Scale ◽  
Elevation Model

<p>Degradation of water quality is a major issue in New Zealand, to which the loss of nitrogen, phosphorus and sediment from agriculture into waterways contributes significantly. To predict and manage diffuse pollution from intensive agriculture it is vital that models are able to spatially map the sources, flows and sinks of nutrients in the landscape and spatially target mitigations. This study investigates the application of one such model, the Land Utilisation Capability Indicator (LUCI). Used in conjunction with OVERSEER, LUCI is a powerful tool to support farm scale land management decision-making.  LUCI includes soil, topography and landcover datasets in its analysis. This thesis examines how the quality and resolution of each dataset affects LUCI’s output. Six different case studies are examined, across a range of New Zealand farming systems. This is the most comprehensive study, to date, of LUCI’s sensitivity to input datasets.  The results suggest that LUCI nutrient loading estimates are primarily sensitive to soil order, and therefore to changes in order classifications. Utilising different soil datasets in the LUCI model resulted in varying nutrient load predictions. This sensitivity is primarily attributed to the differing hydraulic and phosphorus retention capabilities of the respective soil orders. To test the sensitivity of LUCI to digital elevation model (DEM) resolution, multiple DEMs with varying spatial and vertical resolution were tested. These results strongly indicate that particularly fine resolution DEMs are required to accurately model flat landscapes.  It was recognised that LUCI was not using all of the relevant data available in Landcare Research’s S-Map database. LUCI was modified to use more of this information, and alternative methods of incorporating sibling level data in both LUCI and OVERSEER were investigated. Finally, avenues for future development are suggested. Overall, this thesis highlights the potential LUCI has to play a key role in farm scale environmental management.</p>

scholarly journals Universal rapid method of assessment and management decision-making of situational problems in the enterprise

2019 ◽  
Vol 81 (2) ◽  
pp. 359-376
Author(s):  
D. A. Shageev ◽  
T. A. Chuhonceva
Keyword(s):  
Decision Making ◽  
Information Technologies ◽  
New Method ◽  
Management Decision ◽  
Practical Implementation ◽  
Benjamin Franklin ◽  
Management Decision Making ◽  
High Level ◽  
Method Of Evaluation ◽  
Method Of Assessment

Situational approach in management does not lose its relevance for a hundred years. During this time he constantly developed, being a part of various concepts, methodologies, methods, techniques and other forms of theoretical and practical implementation of scientific thought in different areas of human activity. The results of the analysis of scientific sources in the article over the past eight years confirmed the presence of the situational approach unlimited development potential. As one of the ways to develop the situational approach, the authors propose a new method of evaluation and management decision-making problems of a situational nature in the enterprise. In contrast to the existing methods, the proposed method is characterized by a high level of efficiency and versatility. The methodology provides decisions to the problems of situational nature of the three categories of complexity. For each category there are special forms in the form of different hierarchies. To reduce the number of possible errors and improve the efficiency of the methodology implementation, a special algorithm, as well as the necessary instructions for users, have been developed and presented. In addition, various information technologies are provided as tools for the implementation of the methodology. The method of analysis of T. Saati hierarchies was used as the core of the new method. The method of decision-making by Benjamin Franklin was adopted as a complement of the method. The final part of the article presents the results of testing the proposed method. In the majority of users of a technique really noted its universal and express properties. Thus, according to the results of testing at the enterprises, the technique is recognized as effective and viable.

scholarly journals Evaluating the sensitivity of the LUCI model to GIS datasets to enable robust farm management decisions in New Zealand

2021 ◽  
Author(s):  
◽  
Alicia I. Taylor
Keyword(s):  
New Zealand ◽  
Nutrient Loading ◽  
Farming Systems ◽  
Alternative Methods ◽  
Management Decision ◽  
Level Data ◽  
Digital Elevation ◽  
Management Decision Making ◽  
Farm Scale ◽  
Elevation Model

<p>Degradation of water quality is a major issue in New Zealand, to which the loss of nitrogen, phosphorus and sediment from agriculture into waterways contributes significantly. To predict and manage diffuse pollution from intensive agriculture it is vital that models are able to spatially map the sources, flows and sinks of nutrients in the landscape and spatially target mitigations. This study investigates the application of one such model, the Land Utilisation Capability Indicator (LUCI). Used in conjunction with OVERSEER, LUCI is a powerful tool to support farm scale land management decision-making.  LUCI includes soil, topography and landcover datasets in its analysis. This thesis examines how the quality and resolution of each dataset affects LUCI’s output. Six different case studies are examined, across a range of New Zealand farming systems. This is the most comprehensive study, to date, of LUCI’s sensitivity to input datasets.  The results suggest that LUCI nutrient loading estimates are primarily sensitive to soil order, and therefore to changes in order classifications. Utilising different soil datasets in the LUCI model resulted in varying nutrient load predictions. This sensitivity is primarily attributed to the differing hydraulic and phosphorus retention capabilities of the respective soil orders. To test the sensitivity of LUCI to digital elevation model (DEM) resolution, multiple DEMs with varying spatial and vertical resolution were tested. These results strongly indicate that particularly fine resolution DEMs are required to accurately model flat landscapes.  It was recognised that LUCI was not using all of the relevant data available in Landcare Research’s S-Map database. LUCI was modified to use more of this information, and alternative methods of incorporating sibling level data in both LUCI and OVERSEER were investigated. Finally, avenues for future development are suggested. Overall, this thesis highlights the potential LUCI has to play a key role in farm scale environmental management.</p>

Centralization and Effectiveness of Reward Management in Multinational Enterprises

2018 ◽  
Vol 17 (2) ◽  
pp. 55-65 ◽  
Author(s):  
Michael Tekieli ◽  
Marion Festing ◽  
Xavier Baeten
Keyword(s):  
Decision Making ◽  
Social Identity Theory ◽  
Multinational Enterprises ◽  
Role Identity ◽  
Management Decision ◽  
Role Identities ◽  
Management Decision Making ◽  
New Perspective ◽  
Subsidiary Managers ◽  
The Relationship

Abstract. Based on responses from 158 reward managers located at the headquarters or subsidiaries of multinational enterprises, the present study examines the relationship between the centralization of reward management decision making and its perceived effectiveness in multinational enterprises. Our results show that headquarters managers perceive a centralized approach as being more effective, while for subsidiary managers this relationship is moderated by the manager’s role identity. Referring to social identity theory, the present study enriches the standardization versus localization debate through a new perspective focusing on psychological processes, thereby indicating the importance of in-group favoritism in headquarters and the influence of subsidiary managers’ role identities on reward management decision making.

Emergency management decision-making during severe weather

2006 ◽  
Author(s):  
Leigh A. Baumgart ◽  
Ellen J. Bass ◽  
Brenda Philips ◽  
Kevin Kloesel
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Severe Weather ◽  
Management Decision ◽  
Management Decision Making

Providing additional education services for children: Challenges and solutions

2020 ◽  
Vol 18 (4) ◽  
pp. 675-687
Author(s):  
Yu.I. Brodovskaya ◽  
T.A. Smirnova
Keyword(s):  
Consumer Preferences ◽  
Methodological Approach ◽  
Management Decision ◽  
Public Authorities ◽  
Education Services ◽  
Supplementary Education ◽  
Management Decision Making ◽  
Additional Education ◽  
Sociological Studies ◽  
Municipal Level

Subject. This article considers the issues of provision of supplementary education services for children and methodological tools for the formation of educational environment. Objectives. The article aims to assess the level of development of the system of supplementary education of children in Krasnoyarsk and offer a methodological approach to improving the management decision-making procedure in the formation of a portfolio of supplementary education services at the municipal level. Methods. For the study, we used the methods of theoretical, empirical, and logistic analyses, and sociological studies. Results. The article offers concrete solutions to the lack of a methodological approach to providing supplementary education services, considering one of the micro-districts of Krasnoyarsk as a case in point. It also offers tools that can be used by public authorities to organize educational space at the municipal level. Conclusions. A unified methodological approach should be used to provide a system of supplementary education, taking into account financial means, as well as differentiation in the distribution of educational facilities throughout the area. The relevance of the set of supplementary education services and consumer preferences should be taken into account, as well.

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