Spatio-Temporal Aspects of Community Well-Being in Multivariate Functional Data Approach

2020 ◽  
pp. 251-273
Author(s):  
Włodzimierz Okrasa ◽  
Mirosław Krzyśko ◽  
Waldemar Wołyński
Keyword(s):  
Functional Data ◽  
Well Being ◽  
Temporal Aspects ◽  
Spatio Temporal ◽  
Multivariate Functional Data

scholarly journals Spatio-Temporal Dynamics of European Innovation—An Exploratory Approach via Multivariate Functional Data Cluster Analysis

2022 ◽  
Vol 8 (1) ◽  
pp. 6
Author(s):  
Imke Rhoden ◽  
Daniel Weller ◽  
Ann-Katrin Voit
Keyword(s):  
Functional Data ◽  
Temporal Dynamics ◽  
Innovation Policy ◽  
Policy Support ◽  
Clustering Methods ◽  
Regional Innovation ◽  
Registration Data ◽  
Spatio Temporal ◽  
Multivariate Functional Data ◽  
Regional Clustering

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe, considering patterns of specialization among innovation types. We combine patent registration data and other innovation and economic data across 225 regions, 13 years, and eight patent classes. The approach allows us to form several regional clusters according to their specific innovation types and captures spatio-temporal dynamics too subtle for most other clustering methods. Consistent with the literature on innovation systems, our analysis supports the value of regionalized clusters that can benefit from flexible policy support to strengthen regions as well as innovation in a systematic context, adding technology specificity as a new criterion to consider. The regional innovation cluster solutions for IPC classes for ‘fixed constructions’ and ‘mechanical engineering’ are highly comparable but relatively less comparable for ‘chemistry and metallurgy’. The clusters for innovations in ‘physics’ and ‘chemistry and metallurgy’ are similar; innovations in ‘electricity’ and ‘physics’ show similar temporal dynamics. For all other innovation types, the regional clustering is different. By taking regional profiles, strengths, and developments into account, options for improved efficiency of location-based regional innovation policy to promote tailored and efficient innovation-promoting programs can be derived.

A Conceptual Framework for Dynamic Location—Allocation Analysis

1974 ◽  
Vol 6 (5) ◽  
pp. 547-564 ◽  
Author(s):  
E S Sheppard
Keyword(s):  
Programming Models ◽  
Theoretical Level ◽  
Fully Integrated ◽  
Location Allocation ◽  
Plant Construction ◽  
Temporal Aspects ◽  
Dynamic Location ◽  
Spatio Temporal ◽  
Construction Model ◽  
Taxonomic Tree

To date, much of the work published on the problems of plant construction has been restricted to either determining the timing of the building, or forming static location—allocation models, with little attempt to combine the spatial and temporal aspects into one solution. By construction of a taxonomic tree, this paper demonstrates that the capacity expansion and the location—allocation solutions are just the simplest instances of a whole class of models. Formulation of these various possibilities is undertaken and it is shown that a fully integrated spatio—temporal plant-construction model can be derived, at least at the theoretical level. Although the derivations are in the form of deterministic programming models, the concluding section of the paper suggests possible ways in which these might be reformulated to allow for the fact that most planning takes place in an uncertain environment.

scholarly journals Spatial and temporal aspects of high streamflow periods within the Danube drainage basin in Bulgaria

2020 ◽  
Vol 11 (1) ◽  
pp. 6-22
Author(s):  
Kalin SEYMENOV ◽  
Keyword(s):  
Drainage Basin ◽  
Threshold Level ◽  
High Flow ◽  
Danube River ◽  
Discharge Data ◽  
Environmental Consequences ◽  
Temporal Aspects ◽  
Daily Discharge ◽  
Spatio Temporal ◽  
Positive Correlations

High flow events are the main prerequisites for floods with negative social and environmental consequences. Their study under uncertain and changing climate gives informative knowledge for further management decisions. This paper seeks to analyze the spatio-temporal parameters of high flow periods within the Danube drainage basin in Bulgaria. Three characteristics of the hazard phenomena: time of occurring, frequency and duration are investigated. The analysis is based on daily discharge data collected from 20 gauging stations for the period 2000–2005. The surplus water quantities are identified by the Threshold level method using fixed values – Q25 and Q5, derived from the flow duration curve. Results show a concentration of the high flow periods during the spring hydrological season, with an average duration up to six weeks. The calculations establish positive correlations between the duration of high flow, the altitude of catchments, and the density of drainage network. The resulting information can serve as a support for the development of preliminary flood risk assessments in the Danube River Basin.

Perfil decisional, género y práctica deportiva en deporte en edad escolar (Decisional profile, gender and sports practice in sports at school age)

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 379-387
Author(s):  
Francisco Javier Vázquez Ramos ◽  
Patricia Irene Sosa-González ◽  
Juan De Pablos Pons
Keyword(s):  
Secondary Education ◽  
School Age ◽  
Decision Making Capacity ◽  
Final Sample ◽  
Gender And Sports ◽  
Temporal Aspects ◽  
Toma De Decisiones ◽  
Spatio Temporal ◽  
Para Determinar ◽  
The One

  El objetivo de este estudio ha sido determinar el perfil decisional de chicos y chicas en edad escolar basado en aspectos espacio-temporales a través del software “Juego Interactivo de Voleibol” (JIVBⓇ), en función de diferentes variables: dificultad espacio-temporal, tipo de práctica deportiva, edad, sexo y tiempo de práctica deportiva. La muestra ha sido conformada por la totalidad de los clubes de categoría infantil de la ciudad de Sevilla de las modalidades de balonmano, voleibol y atletismo, así como de alumnado de Enseñanza Secundaria Obligatoria (ESO) de un Instituto de Enseñanza Secundaria que no practicaba más actividad físico-deportiva que la realizada en sus clases de educación física. Además, para completar la muestra a nivel deportivo se optó por incluir a un club de voleibol y a un club de atletismo de poblaciones limítrofes con Sevilla capital, quedando la muestra final constituida por 109 participantes, de ambos sexos, de 12-14 años. Para determinar el perfil decisional se utilizó el JIVB y se llevaron a cabo análisis descriptivos e inferenciales. Los resultados muestran que no existen diferencias significativas en la capacidad de toma de decisiones, aunque sí se puede hablar de tendencias.  Abstract. The objective of this study was to determine the decisional profile of school-age boys and girls based on spatio-temporal aspects through the software "Interactive Volleyball Game" (JIVBⓇ), based on different variables: spatio-temporal difficulty, type of sports practice, age, sex and time of sports practice. The sample has been made up of all the children's category clubs in the city of Seville in the modalities of handball, volleyball and athletics, as well as students of Compulsory Secondary Education (ESO) of a Secondary Education Institute that did not practice anymore physical-sporting activity than the one carried out in their physical education classes. In addition, to complete the sample at the sporting level, it was decided to include a volleyball club and an athletics club from neighboring towns with Seville, leaving the final sample consisting of 109 participants, of both sexes, aged 12-14 years. To determine the decisional profile, the JIVB was used and descriptive and inferential analyzes were carried out. The results show that there are no significant differences in decision-making capacity, although it is possible to speak of trends.

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