scholarly journals Statistical Quantification for Supporting Geographical Research in Natural Resource Inventory and Evaluation

2004 ◽  
Vol 13 (2) ◽  
Author(s):  
Sukendra Martha
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Natural Resources ◽  
Natural Resource ◽  
Research System ◽  
Data Collection Process ◽  
Resource Inventory ◽  
Quantitative Statistics ◽  
Natural Resources Inventory

In supporting geographical researches, statistical quantifications are required to assist natural resources inventory and evaluation. Statistical analysis for any research either in  sciences will represent the result quality of the research. To do this, all research system implementations. Started from data collection, process to their presentation need to apply quantitative statistics data and numbers. This paper is meant as introducing all geography researchers in conducting researh tasks, particularly in the field natural resources inventory and evaluation.

WHERE RESPONSE MEETS NATURAL RESOURCE DAMAGE ASSESSMENT (NRDA)

2008 ◽  
Vol 2008 (1) ◽  
pp. 1153-1155 ◽  
Author(s):  
Jason Lehto
Keyword(s):  
Data Collection ◽  
Natural Resources ◽  
Natural Resource ◽  
Damage Assessment ◽  
Oil Pollution ◽  
Liaison Officer ◽  
Incident Command System ◽  
Incident Command ◽  
Natural Resource Damage Assessment ◽  
The Impact

ABSTRACT During oil spill incidents, NRDA and response activities may co-occur. This paper discusses those occurrences, focusing on ephemeral data collection and emergency restoration. Current laws provide some guidance for how these activities may be coordinated. The Field Operations Guide (FOG) and the National Contingency Plan (NCP) state that it is the responsibility of the Incident Commander (IC) to notify natural resource trustees of the incident and to coordinate NRDA representative's activities through the Liaison Officer. The FOG and NCP also state that it is the responsibility of the trustees to conduct their NRDA preassessment activities without hindering the response. The overlap between NRDA and response may be further complicated because many trustees may work within the environmental unit or the wildlife recovery unit for the response and also have the responsibility to work on NRDA. They may work in the Incident Command System advising the IC on response issues while also trying to initiate a damage assessment. Data collection during a response is critical for managing the incident as well as performing a thorough damage assessment. Although the types of data collected to aid the response may be similar to those used in damage assessment, often the scale and level of detail may be quite different. Even with these differences, synergies in ephemeral data collection may exist. Emergency restoration activities do sometimes occur before the response has concluded. The Oil Pollution Act regulations state that emergency restoration may occur if the action is needed to avoid the loss of natural resources, or to prevent any continuing danger to natural resources. If the trustees determine that emergency restoration is needed, they are required to consult with the IC prior to taking any such action. As an example, this paper will discuss emergency restoration actions undertaken during the Whatcom creek, WA gasoline spill to reduce the impact to migrating salmon.

scholarly journals A Study on Change Management and Employees Performance in IMS

2021 ◽  
pp. 40-48
Author(s):  
Yu Hai Yun
Keyword(s):  
Data Collection ◽  
Change Management ◽  
Analytical Data ◽  
Secondary Data ◽  
Research Results ◽  
Data Collection Process ◽  
Research Findings ◽  
Secondary Information ◽  
The Impact

The result or outcome of an entity for its deliberate operational success is the outcome or outcome of an institution with regard to the desired objectives and targets. Operational output the study utilizes the analytical data collection process. For analysis, though, it will use both primary and secondary information. The main statistics is information that the author gathers through surveys or questionnaires and the secondary data is the data collected from prior studies and research. The study examined the effect of change management on the quality of workers, taking into account many factors such as ethics, productivity, morale and interaction among others. The research findings have shown that the greater the integrity of workers and the better the interaction, the higher the productivity and the lower the attrition. The study analyzed the impact of change management on employees’ performance, taking into account many factors such as organizational ethics, recruitment, morale and interaction. The research results demonstrate that the higher the moral and communication standards of employees are at work, the greater the retention and the lower the turnover.

NATURAL RESOURCES AND QUALITY OF LIFE: INTERNATIONAL EVIDENCE

2020 ◽  
pp. 1-14
Author(s):  
ANTON VASKOVSKYI
Keyword(s):  
Quality Of Life ◽  
Economic Development ◽  
Natural Resources ◽  
Natural Resource ◽  
Capital Accumulation ◽  
Resource Dependence ◽  
Social Progress ◽  
Resource Rents ◽  
Natural Resource Dependence

There has been a growing scholarly interest in the links between natural resources and socio-economic development. While numerous studies offer robust evidence on the detrimental effects of natural resource dependence on economic outcomes, no study has robustly investigated the link between natural resource dependence and quality of life across countries. The aim of this study is to address this gap in the literature by investigating the relationship between natural resource dependency and social progress. Using the cross-country data from 143 countries for the period of 2012 to 2019, we find that resource rents are significantly and negatively linked to the Social Progress Index. Moreover, this effect remains robust even after controlling the potential transmission channels such as governance, economic development and human capital accumulation.

Facing the Nonresponse Challenge

2012 ◽  
Vol 645 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Frauke Kreuter
Keyword(s):  
Data Collection ◽  
Survey Research ◽  
Survey Data ◽  
Quality Measures ◽  
Data Sources ◽  
Collection Process ◽  
Data Collection Process ◽  
Survey Estimates ◽  
Survey Designs

This article provides a brief overview of key trends in the survey research to address the nonresponse challenge. Noteworthy are efforts to develop new quality measures and to combine several data sources to enhance either the data collection process or the quality of resulting survey estimates. Mixtures of survey data collection modes and less burdensome survey designs are additional steps taken by survey researchers to address nonresponse.

scholarly journals A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2271 ◽  
Author(s):  
Markel Rico-González ◽  
Asier Los Arcos ◽  
Daniel Rojas-Valverde ◽  
Filipe M. Clemente ◽  
José Pino-Ortega
Keyword(s):  
Data Collection ◽  
Radio Frequency ◽  
Collective Behavior ◽  
Microelectromechanical Systems ◽  
Team Sports ◽  
Positioning Systems ◽  
Collection Process ◽  
Data Collection Process ◽  
Global Positioning

Electronic performance and tracking systems (EPTS) and microelectromechanical systems (MEMS) allow the measurement of training load (TL) and collective behavior in team sports so that match performance can be optimized. Despite the frequent use of radio-frequency (RF) technology (i.e., global positioning navigation systems (GNSS/global positioning systems (GPS)) and, local position systems (LPS)) and MEMS in sports research, there is no protocol that must be followed, nor are there any set guidelines for evaluating the quality of the data collection process in studies. Thus, this study aims to suggest a survey based on previously used protocols to evaluate the quality of data recorded by RF technology and MEMS in team sports. A quality check sheet was proposed considering 13 general criteria items. Four additional items for GNSS/GPS, eight additional items for LPS, and five items for MEMS were suggested. This information for evaluating the quality of the data collection process should be reported in the methods sections of future studies.

Mapping in Epistemological Translation, Revising the Critique of GIS (Geographical Information Systems) as an Instrument of Cultural Assimilation

2012 ◽  
Vol 5 (3) ◽  
pp. 32-49
Author(s):  
Oscar Forero
Keyword(s):  
Natural Resources ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Knowledge Generation ◽  
Map Reading ◽  
Resource Managers ◽  
Natural Resource Managers

This paper examines some of the features that have made maps into an essential and traditional tool used by all those involved in the management of natural resources. A main competency of natural resource managers and geographers is map making, along with map reading and map usage, as it allows a vision to be constructed, aiding the understanding of bio-cultural ocean, riverine and landscapes and helping to put them into perspective. I argue that the prominence of mapping in natural resource management comes from a topokinetic quality of knowledge generation and a visual character of knowledge reproduction. I also argue that mapping is a pedagogical device not exclusive to western ontological tradition, and that these features have made mapping a favorite episte-mological translation tool.

scholarly journals Validation of Four-dimensional Components for Measuring Quality of the Public Health Data Collection Process: Expert Elicitation (Preprint)

2019 ◽  
Author(s):  
Hong Chen ◽  
Ping Yu ◽  
David Hailey ◽  
Tingru Cui
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Expert Elicitation ◽  
The Public ◽  
Component Framework ◽  
Collection Process ◽  
Data Collection Process ◽  
Public Health Information ◽  
Aids Information

BACKGROUND Identification of the essential components of quality of data collection is the starting point for the design of effective data quality management strategies in public health information systems. An inductive analysis of global public health informatics literature on the data collection process derived a four-dimensional (4D) component framework that focuses on four dimensions of the process: management, personnel, data collection system, and environment. It is necessary to empirically validate the framework for further research and practice. OBJECTIVE This study aimed to obtain empirical evidence to confirm the components of the 4D framework, and if needed, to further develop this preliminary framework. METHODS Expert elicitation was used to evaluate the preliminary framework in the context of Chinese national AIDS information management system. The research processes included the development of an interview guide and data collection form, data collection, and data analysis. Twenty-eight experts, including three public health administrators, fifteen public health work-ers, and ten healthcare practitioners participated in the elicitation session. A framework quali-tative data analysis approach was followed to elicit themes from interview transcripts and to compare with the elements of the 4D framework. RESULTS A total of 302 codes were extracted from the interview transcripts, which verified 116 (78%) original indicators and generated 47 new indicators. The final 4D component framework consists of 116 indicators including 82 facilitators and 34 barriers. The first component, data collection management, includes data collection protocol and quality assurance, which is measured by 41 (35% of the 116) indicators. It was followed by data collection environment measured by 37 (32%) indicators, which comprises leadership, training, and funding, as well as three newly added subcomponents, i.e., organisational policy, high-level management support, collaboration among parallel organisations. The third component, data collection personnel, is described by a perception of data collection, skill/competence, communication, and staffing pattern, which is measured by 22 (19%) indicators. The fourth, data collection system, contain-ing functions, integration of different data collection systems, technical support, and device for data collection, is measured by 16 (14%) indicators. CONCLUSIONS This expert elicitation study situated in national AIDS information management systems validated and made improvements to the 4D component framework measuring the quality of the data collection process for public health information systems. The validated 4D component framework can be applied by researchers and practitioners in designing and managing the public health data collection process.

scholarly journals Revisiting Mobile Crowdsensing: An Open Challenge

2021 ◽  
Author(s):  
Vittalis Ayu
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Context Awareness ◽  
Data Exchange ◽  
Data Availability ◽  
Mobility Patterns ◽  
Mobile Crowdsensing ◽  
Collection Process ◽  
Data Collection Process

Mobile crowdsensing has become a new paradigm that enables citizens to participate in the sensing process by voluntarily gathering data from their smartphones to accomplish some given task. However, performing the sensing task generate lots of data resulting in various quality of the sensed data and high sensing cost in term of resource consumption. This matter became a significant concern in mobile crowdsensing as the mobile nodes which act as crowd sensors have limited resources. Moreover, an opportunistic mobile crowdsensing mechanism does not require user involvement, so the data collection process must be autonomous and intelligent to sense the data in the proper context. That is why context-awareness is also essential in opportunistic crowdsensing to maintain the sensed data quality. In this mini-review, we revisit the possibility of enhancing the mobile crowdsensing mechanism. We argue that improving the data collection process, including context-awareness, can optimize in-node data availability and sensed data quality. Besides, we also argue that finding optimization on inter-node data exchange mechanisms will increase the quality of the in-node data. Furthermore, smartphones that are related to humans as their owners reflect humans' physical and social behavior. We believe that considering contexts such as human social relationships and human mobility patterns can benefit the optimization strategies.

scholarly journals KUALITAS PELAYANAN PUBLIK PADA DINAS KEPENDUDUKAN DAN PENCACATAN SIPIL KOTA DENPASAR DI TENGAH SITUASI PANDEMI COVID-19

2021 ◽  
pp. 61-71
Author(s):  
Ni Nyoman Ariani ◽  
Anak Agung Putu Sugiantiningsih ◽  
Moch. Noor
Keyword(s):  
Data Collection ◽  
Public Service ◽  
Public Services ◽  
Service Providers ◽  
Government Policies ◽  
The Public ◽  
Direct Observations ◽  
Data Collection Process ◽  
Service Standards

Many people have adapted to the situation of covid-19 outbreak including public service providers. Government policies to prevent the spread of COVID-19 have an impact on public service standards implemented by the service providers. Regarding this matter, this study was conducted to analyze the quality of the service provided by Civil Registry Office of Denpasar during covid-19 pandemic. Interviews and direct observations were carried out to collect data. In this data collection process, five questions were given to six informants at this Office. The results of this study show that any declines in terms of the quality of the public services provided by this Office are not identified.

scholarly journals Natural Resource Rent and Financial Development Nexuses in Bangladesh: The Role of Institutional Quality

2020 ◽  
Vol 4 (2) ◽  
pp. 108-114
Author(s):  
Muhammad Atif Khan ◽  
Kishwar Ali
Keyword(s):  
Natural Resources ◽  
Financial Development ◽  
Natural Resource ◽  
Institutional Quality ◽  
Financial Sector ◽  
Resource Rent ◽  
Natural Resource Rent ◽  
The Relationship

This paper examines the relationship between the development of the financial sector of the economy and natural rents. The financial sector of the economy is currently an important driver of economic growth. The study was conducted through the prism of addressing two key issues: determining the nature of the impact of natural rents on the financial development of Bangladesh; study of the role of the quality of institutional mechanisms in the relationship between natural rent and financial development of Bangladesh. The study period includes 35 years, from 1984 to 2019. The calculations were performed using an autoregressive model with a distributed lag, based on the order of integration and stationary properties of the variables of this study. The article presents the results of an empirical analysis, which showed a significant negative impact of the lease of natural resources on the financial development of Bangladesh. It is empirically confirmed that the quality of institutional mechanisms for the functioning of economic entities has a positive effect on the relationship between natural rents and the financial development of Bangladesh. The results of the study empirically confirm the hypothesis of insufficient natural resources in Bangladesh. The article emphasizes that the positive moderating role of the quality of the institutional base indicates that due to the strengthening of the institutional base, insufficient resources can become a benefit for the financial sector. The results of the study can be useful for representatives of the Government of Bangladesh from the standpoint of improving the quality of institutional infrastructure in order to ensure financial development, in which there will be positive effects from the implementation of natural resource lease processes. In the future, a study is planned to expand potential sources for the proper use of natural resource leases in Bangladesh. Keywords: natural resource rent, financial development, institutional quality, Pakistan.

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