Cumulative curves for exploration of demographic data: a case study of Northwest England

2004 ◽  
Vol 19 (1) ◽  
pp. 9-28 ◽  
Author(s):  
Natalia Andrienko ◽  
Gennady Andrienko
Keyword(s):  
Demographic Data ◽  
Cumulative Curves

Empirical Strategies for Intersectional Research

2021 ◽  
pp. 29-46
Author(s):  
Christian Dyogi Phillips
Keyword(s):  
Los Angeles ◽  
Data Collection ◽  
Asian American ◽  
Demographic Data ◽  
Asian American Women ◽  
Candidate Emergence ◽  
Political Processes ◽  
Intersectionality Theory ◽  
Data Collection And Analysis

Chapter 2 specifies how the book’s research design operationalizes intersectionality theory through its multi-method and multilevel data collection and analysis. This includes an expanded discussion of how using this framework to analyze Asian American women and men, and Latina and Latino candidates, facilitates new understandings of the relationship between race-gendered political processes and electoral opportunity within those communities, and more generally across other groups. The chapter then details the data collection processes for the book’s original datasets. The first is the Gender Race and Communities in Elections dataset, encompassing candidate and district demographic data for every state legislative general election from 1996 to 2015 in 49 states. Next, the American Leadership Survey of state legislators fielded in 2015 is described. And finally, the design for a multi-method case study of Asian American and Latina/o candidate emergence in Los Angeles County is presented.

scholarly journals Identification of Shrinkage and Growth Patterns of a Shrinking City in China Based on Nighttime Light Data: A Case Study of Yichun

2019 ◽  
Vol 11 (24) ◽  
pp. 6906 ◽  
Author(s):  
Ying Zhou ◽  
Chenggu Li ◽  
Zuopeng Ma ◽  
Shuju Hu ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Satellite Images ◽  
Infrared Imaging ◽  
Demographic Data ◽  
Growth Patterns ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Urban Science ◽  
New Perspective ◽  
Shrinking City

Urban shrinkage has become a topic of major concern to scholars of geography and urban science. However, the methods of identifying urban shrinkage and growth have mostly focused on traditional statistical methods, and studies based on nighttime light (NTL) data are rare. Here, we use the NTL data for 56 months from 2012 to 2019 obtained by the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar Orbiting Partnership (NPP) to identify the shrinkage and growth patterns of Yichun in China, by calculating the slope of the NTL radiance value after denoising. At the same time, by combining high-resolution Google satellite images and traditional demographic data, we analyzed the shrinkage characteristics of Yichun. The results of the study confirmed the characteristics of partial shrinkage in China’s shrinking cities. In addition, the use of NPP-VIIRS NTL data was able to more accurately identify the urban shrinkage and growth patterns, and may also be seen to present a more objective picture of reality, thus providing a new perspective for studies of urban shrinkage.

scholarly journals Language policy and planning for Latinos in Indiana: A case study

2013 ◽  
Vol 2 ◽  
pp. 119-135
Author(s):  
Colleen E. Chesnut
Keyword(s):  
Language Policy ◽  
Demographic Data ◽  
Community Organizations ◽  
Historical Narrative ◽  
Language Policy And Planning ◽  
Current Availability ◽  
State And Local ◽  
Policy And Planning ◽  
Epistemological Framework

In Indiana and many other areas of the Midwest, Latino populations have recently experienced quite rapid growth. This study will focus on how Indiana’s state and local institutions, including government agencies, schools, and community organizations have responded to expansion of Latino communities, examining evidence of language policy and planning in these responses. An epistemological framework outlining the parameters of language policy and planning will be provided, as well as a brief historical narrative to set the context for Latinos settling in Indiana. Demographic data and document analysis reveal both the salience of this research for a growing Latino population and the current availability of resources and information aboutpolicy around language planning for this group. Findings illustrate that English remains the primary lingua franca for Indiana, though some evidence indicates scattered efforts to reach out to Latino citizens in Spanish through a variety of means. This research contributes to a growing body of literature on experiences of Latinos in the Midwest and policymakers’ efforts to better serve the needs of these growing communities.

Discussing Anomalous Situations using Decision Trees: A Head Injury Case Study

2001 ◽  
Vol 40 (05) ◽  
pp. 373-379 ◽  
Author(s):  
A. McQuatt ◽  
P. J. D. Andrews ◽  
V. Corruble ◽  
P. A. Jones ◽  
D. Sleeman
Keyword(s):  
Head Injury ◽  
Decision Trees ◽  
Demographic Data ◽  
Patient Data ◽  
Physiological Data ◽  
Royal Infirmary ◽  
Domain Experts ◽  
Seriously Ill Patients ◽  
Seriously Ill

Summary Objectives: Predicting the outcome of seriously ill patients is a challenging problem for clinicians. Methods: One alternative to clinical trials is to analyse existing patient data in an attempt to predict the several outcomes, and to suggest therapies. In this paper we use decision tree techniques to predict the outcome of head injury patients. The work is based on patient data from the Edinburgh Royal Infirmary which contains both background (demographic) data and temporal (physiological) data. Results: The focus of this paper is the discussion of the anomalous cases in the decision trees with the domain experts (the clinicians). Conclusions: These analyses led to the detection of several situations where both the data analysis and patient data collection should be enhanced, which in turn should lead to improved patient care.

Efficient use of demographic data: integrated population models

2021 ◽  
pp. 245-256
Author(s):  
Marlène Gamelon ◽  
Stefan J. G. Vriend ◽  
Marcel E. Visser ◽  
Caspar A. Hallmann ◽  
Suzanne T. E. Lommen ◽  
...  
Keyword(s):  
Invasive Plant ◽  
Demographic Data ◽  
Bird Species ◽  
Integrated Approach ◽  
Population Models ◽  
Data Sources ◽  
Vital Rates ◽  
First Case ◽  
Comprehensive Picture

Various types of demographic data can be collected in the field: population censuses, capture–mark–recapture data, and so on. These data sources share common demographic information about the studied population. Bayesian integrated population models (IPM) make efficient use of these different types of demographic data by jointly analysing them. This chapter discusses the advantages and the possibilities offered by this integrated approach. It describes the different steps required to build an IPM and illustrates the usefulness of this approach using two case studies. The first case study is a short-lived bird species, the blue tit, taking advantage of different data sources collected in a Dutch population to highlight how an integrated analysis might help to obtain a comprehensive picture of its dynamics. This IPM also assesses whether and how beech crop size might influence vital rates. The second case study is an invasive plant species, the common ragweed. The chapter illustrates how seedling data, plant data, and seed bank data could be analysed simultaneously to estimate key vital rates such as the probability that a seedling survives up to flowering.

scholarly journals Employee Engagement and Organizational Performance

2021 ◽  
pp. 93-100
Author(s):  
Emmanuel Akanpaadgi ◽  
Felicia Binpimbu
Keyword(s):  
Organizational Performance ◽  
Employee Engagement ◽  
Demographic Data ◽  
Survey Method ◽  
Relative Importance ◽  
Regional Health ◽  
The Public ◽  
Importance Index ◽  
Health Directorate

This study sought to find out the extent of employee engagement in the public sector in Ghana using the Upper East Regional Health Directorate as a case study. The survey method was employed in the study. Close-ended and Likert-Scaled questionnaires were administered to participants to generate the data. Descriptive statistics were used to analyze the demographic data while the Relative Importance Index (RII) was used to analyze the scaled responses using the equation: RII= Σ???? / (???? × ????). The figures obtained confirmed the positive relationship between employee engagement and organizational performance. The good performance of the Upper East Regional Health Directorate was found to be influenced by the effective engagement of the staff.

scholarly journals Cemetery Mapping and Digital Data Analysis: A Case Study in Minnesota, USA

2020 ◽  
Vol 12 (2) ◽  
pp. 40
Author(s):  
Maureen L. Schmidt ◽  
Fei Yuan ◽  
Woo Jang
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Spatial Data ◽  
Local Level ◽  
Demographic Data ◽  
Digital Data ◽  
Hard Copy ◽  
Gps Data ◽  
Greatest Generation

This study examines how geospatial technologies can be used in the aid of local-level cemetery management with limited resources using a case study in Woodland Hills Memorial Park Cemetery, Minnesota, USA. The hard-copy records in a handwritten ledger were manually transferred into an Excel table. The spatial data of the gravesites were collected using a Trimble Geo 7X unit with a Zephyr antenna and a Laser Rangefinder sensor over the summer of 2017. A geodatabase was constructed by joining the Excel table with the GPS data in GIS. A procedure was also developed to map the spatial distributions of plots and analyze the demographic data. It was demonstrated that a very high locational accuracy could be achieved based on carefully designed GPS data collection strategies. In addition, the data analysis results revealed that there were 12,190 plots in total, approximately half of which were still available for purchase. Among the 5,906 inhabitants buried at the Woodland Hills, many were ethnically German and Scandinavian, of whom 9.7% were veterans and nearly half were from the Greatest Generation (born between 1901 and 1927). The birth, death, and age distributions are significantly different between the nonveteran and veteran groups. Clustered patterns were identified for the filled plots and all the Generation categories. Such results will be beneficial to local cemetery managers to plan for further development as well as to future historians or individuals interested in the local culture and history. The proposed methods can greatly facilitate local-level cemetery data collection, mapping, query, and analysis.

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