scholarly journals Adoption the basis of spatial analysis and geographic information systems (GIS) techniques to development oil industry projects

2014 ◽  
Vol 5 (1) ◽  
pp. 92-109
Author(s):  
Fanir Farooq O. Naji
Keyword(s):  
Decision Making ◽  
Spatial Analysis ◽  
Spatial Data ◽  
Information Age ◽  
Oil Industry ◽  
Project Planning ◽  
Digital Maps ◽  
The People ◽  
Calculation Processing ◽  
Analyze Data

It is recognized today that human lives the information age, which ischaracterized by the multiplicity of its data and the complexity of its aspects andthe most important thing is characterized by "information" that will determine theprogress of the people, the more able countries to devise ways to protect theinformation and how to make the best use of them whenever it is an indication ofits progress and its ability to face obstacles to development and the informationsources are diverse and interrelated up to the level of complexity that they can beanalyzed and dealt with the existence of developed computer systems, that storedand processed the information .And because maps are also considered sources ofinformation which use in management and project planning, and being animportant means of connecting ideas and planning them so it necessitated the needfor the emergence of advanced systems have the ability to draw and designschemes and production of digital maps. With possibility of linking information(metadata) with the real location on the Earth's surface, called the (spatial data).The emergence of these systems are scientific leap on the in geographic scienceespecially spatial data that has accumulated over the centuries and resulted in ahuge amount of data and information. These systems added a lot in the field ofbuilding spatial database which can updating and help in treating maps accuratelyand effectively combines the advantages of the two systems (information systemsand systems of digital maps), which was named "GIS" systems which electronic NO.10digital competent to enter, store and retrieve, analyze data . And connect themwith large areas of maps that can not be saved on security on the paper. The data issaved with maps in a coherent manner so as to facilitate the user to display the datawith maps and several methods as well as a calculation processing to extract theresults and reports in a few time and effort and use them in decision-making whichhelps to speed the study and analysis the information and support decision-makersin a number of important decisions concerning projects which requires accuracyand speed.

scholarly journals A Spatial Analysis Approach to Understanding Caddoan Mounds in the Arkansas River Drainage

2004 ◽  
Author(s):  
Gregory Vogel
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Large Scale ◽  
Theoretical Background ◽  
Gis Analysis ◽  
Arkansas River ◽  
Gis Modeling ◽  
River Drainage ◽  
The People ◽  
Computationally Intensive

In this article I present a theoretical framework for understanding Caddoan mounds in the central Arkansas River drainage and the implications they may hold for the social structure and environmental adaptations of the people who made them. The power and efficiency of Geographic Information Systems (GIS) modeling now allows for large-scale, computationally intensive spatial analysis simply not possible before. Questions of landscape organization or spatial relationships that previously would have taken months or even years to answer can now be solved in a matter of minutes with GIS and related technologies, given the appropriate datasets. Quite importantly, though, such analyses must first be placed in context and theory if they are to be meaningful additions to our understanding of the past. While it is conventional to refer to “GIS analysis” (and I use the term in this article), it is important to keep in mind that data manipulations alone are not analysis. GIS, along with statistical software and related computer technologies, are tools of spatial analysis just as shovels and trowels are tools of excavation. Such tools can organize and reveal information if they are employed carefully, but the tools themselves have no agency and cannot interpret anything on their own. The terms “GIS analysis” or “GIS interpretation” are therefore somewhat misnomers, just as “trowel analysis” or “trowel interpretation” would be. It is not the GIS, or any component of it, that does the analysis or interpretation; it simply manipulates spatial data. We interpret these manipulations based upon theoretical background, previous research, and the questions we wish to answer.

To Investigate the Critical Influencing Factors for Decision Making Process of Students Who Want to Study Abroad

2019 ◽  
Vol 118 (11) ◽  
pp. 619-624
Author(s):  
JueJueMyint Toe ◽  
Ali Abdulbaqi Ameen ◽  
Sui Reng Liana ◽  
Amiya Bhaumik
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Study Abroad ◽  
Education Level ◽  
Decision Making Process ◽  
International Level ◽  
Continuing Higher Education ◽  
Clear Trend ◽  
The People ◽  
Study Overseas

Myanmar is the developing country and its education system is not yet to international level. Hence, most of the young adults, who like to upgrade their knowledge global wide and to gain international recognized higher educational certificates, choose to study overseas rather than continuing higher education after their high education nowadays, that becomes the trend of young people to study overseas since the competency among the people is getting intense based on the education level in every industry. The purpose of this research is to understand that students’ decision making process of selecting university. The study will be conducted to see clear trend of Myanmar students’ decision making of studying in abroad. This research will cover the context of what is Myanmar students’ perception of abroad, how they consider among other countries and explaining those factors which determine Myanmar students’ choice and how they decide to study abroad.

scholarly journals The Use of Crop Yield Autocorrelation Data as a Sustainable Approach to Adjust Agronomic Inputs

2021 ◽  
Vol 13 (4) ◽  
pp. 2362
Author(s):  
Thomas M. Koutsos ◽  
Georgios C. Menexes ◽  
Andreas P. Mamolos
Keyword(s):  
Decision Making ◽  
Spatial Analysis ◽  
Crop Yield ◽  
Spatial Autocorrelation Analysis ◽  
Autocorrelation Analysis ◽  
Yield Data ◽  
Site Specific ◽  
Production Areas ◽  
Short Time ◽  
Monitor Data

Agricultural fields have natural within-field soil variations that can be extensive, are usually contiguous, and are not always traceable. As a result, in many cases, site-specific attention is required to adjust inputs and optimize crop performance. Researchers, such as agronomists, agricultural engineers, or economists and other scientists, have shown increased interest in performing yield monitor data analysis to improve farmers’ decision-making concerning the better management of the agronomic inputs in the fields, while following a much more sustainable approach. In this case, spatial analysis of crop yield data with the form of spatial autocorrelation analysis can be used as a practical sustainable approach to locate statistically significant low-production areas. The resulted insights can be used as prescription maps on the tractors to reduce overall inputs and farming costs. This aim of this work is to present the benefits of conducting spatial analysis of yield crop data as a sustainable approach. Current work proves that the implementation of this process is costless, easy to perform and provides a better understanding of the current agronomic needs for better decision-making within a short time, adopting a sustainable approach.

Application of PCA with georeferenced data in the tourism industry: A case study in the province of Córdoba, Argentina

2021 ◽  
pp. 135481662098768
Author(s):  
Laura I Luna
Keyword(s):  
Decision Making ◽  
Principal Components ◽  
Spatial Data ◽  
Local Development ◽  
Value Added ◽  
Tourism Industry ◽  
Methodological Innovation ◽  
Spatial Principal Components ◽  
Components Analysis

The spatial analysis of tourism industries provides information about their structure, which is necessary for decision-making. In this work, tourism industries in the departments of Córdoba province, Argentina, for the 2001–2014 period were mapped. Multivariate methods with and without spatial restrictions (spatial principal components (sPCs) analysis, MULTISPATI-PCA, and principal components analysis (PCA), respectively) were applied and their performance was compared. MULTISPATI-PCA yielded a higher degree of spatial structuring of the components that summarize tourism activities than PCA. The methodological innovation lies in the generation of statistics for multidimensional spatial data. The departments were classified according to the participation of tourism activities in the value added of tourism using the sPCs obtained as input of the cluster fuzzy k-means analysis. This information provides elements necessary for appropriately defining local development strategies and, therefore, is useful to improve decision-making.

scholarly journals Elite Decision-making and International Law: Promises and Perils of the Behavioral Revolution

AJIL Unbound ◽  
2021 ◽  
Vol 115 ◽  
pp. 242-247
Author(s):  
Emilie M. Hafner-Burton
Keyword(s):  
Decision Making ◽  
International Law ◽  
Real World ◽  
General Public ◽  
Decision Makers ◽  
Direct Study ◽  
The People ◽  
Growing Body ◽  
Actual Decision

A growing body of research applies behavioral approaches to the study of international law, mainly by studying convenience samples of students or other segments of the general public. Alongside the promises of this agenda are concerns about applying findings from non-elite populations to the people, and groups of people, charged with most real-world decision-making in the domain of law and governance. This concern is compounded by the fact that it is extremely difficult to recruit these actual decision-makers in a way that allows for direct study.

scholarly journals Shared decision-making in the People’s Republic of China: current status and future directions

2015 ◽  
pp. 1129 ◽  
Author(s):  
Rongchong Huang ◽  
Michael R. Gionfriddo ◽  
Aaron Leppin ◽  
Henry H. Ting ◽  
Lizhi Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Current Status ◽  
Shared Decision ◽  
Future Directions ◽  
Republic Of China ◽  
The People

Shareholder-driven Corporate Governance

2019 ◽  
Author(s):  
Anita Indira Anand
Keyword(s):  
Decision Making ◽  
Corporate Governance ◽  
Moral Hazard ◽  
Capital Markets ◽  
Regulated Markets ◽  
The People ◽  
Important Trend ◽  
Technical Capacity ◽  
Regulatory Challenges

This is a book about the ways in which capital markets have come to be shaped by the ubiquity of sophisticated investors. In particular, many of today’s investors have the economic might and technical capacity to play a role in the decision-making of the corporations in which they invest. This phenomenon brings with it a host of benefits, such as mechanisms to ameliorate the moral hazard that can exist when the people who bear the risk of corporate activity are different from those who make decisions. A key element of this book is an examination of the ways in which thinking about corporations and capital markets must change to reflect the prevalence of sophisticated shareholders. The book develops a concept—shareholder-driven corporate governance—to explain the role of powerful shareholders and to propose a regulatory scheme that furthers their participation in corporate decision-making. In doing so, the book considers a number of regulatory challenges that confront securities regulators. Ultimately, the book identifies an important trend in capital markets, highlights reasons for fostering this trend, and discusses the path that regulation can and should take in order to protect investors and foster well-regulated markets.

scholarly journals A Multi-Criteria Decision-Making (MCDM) Approach Using Hybrid SCOR Metrics, AHP, and TOPSIS for Supplier Evaluation and Selection in the Gas and Oil Industry

Processes ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 252 ◽  
Author(s):  
Chia-Nan Wang ◽  
Ying-Fang Huang ◽  
I-Fang Cheng ◽  
Van Nguyen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Raw Materials ◽  
Oil Industry ◽  
Supplier Evaluation ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Decision Making Unit ◽  
Stability And Accuracy

Suppliers are extremely important in business operations. The supplier ensures the supply of materials, raw materials, commodities, etc. in sufficient quantity, quality, stability, and accuracy to meet the requirements of production and business with low costs and on-time deliveries. Therefore, selecting and managing good suppliers is a prerequisite for organizing the production of quality products as desired, according to the schedule, and with reasonable prices and competitiveness in the market. It is also important to gain the support of suppliers in order to continue to improve and achieve more as a business. The evaluation and selection of a supplier is a Multi-Criteria Decision-Making (MCDM) issue, in which the decision-maker is faced with both qualitative and quantitative factors. In this research, the authors propose an MCDM model using a hybrid of Supply Chain Operations Reference metrics (SCOR metrics), the Analytic Hierarchy Process (AHP) model, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach for supplier evaluation and selection in the gas and oil industry. Using literature reviews on SCOR metrics, all criteria that impact supplier selection are defined in the first stage, the AHP model is applied to determine the weight of each factor in the second stage, and the optimal supplier is presented in final stage using the TOPSIS model. As a result, Decision-Making Unit 5 (DMU-05) is found to be the best supplier for the gas and oil industry in this research. The contribution of this work is to propose a new hybrid MCDM model for supplier selection in the gas and oil industry. This research also introduces a useful tool for supplier selection in other industries.

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