scholarly journals The Spatial Distribution of Young Objects in the Large Magellanic Cloud - A Problem of Pattern Recognition

1984 ◽  
Vol 108 ◽  
pp. 93-94
Author(s):  
J. V. Feitzinger ◽  
E. Braunsfurth
Keyword(s):  
Cluster Analysis ◽  
Pattern Recognition ◽  
Spatial Distribution ◽  
Large Magellanic Cloud ◽  
Magellanic Cloud ◽  
Ob Associations ◽  
And Cluster Analysis

Methods used in pattern recognition and cluster analysis are applied to investigate the spatial distribution of OB associations and emission regions in the LMC. For our analysis we used the catalogue of associations of Lucke and Hodge (1970) and the catalogue of emission regions of Davies et al. (1976).

scholarly journals Spatial distribution and cluster analysis of sexual risk behaviors reported by young men in Kisumu, Kenya

2010 ◽  
Vol 9 (1) ◽  
pp. 24 ◽  
Author(s):  
Nelli Westercamp ◽  
Stephen Moses ◽  
Kawango Agot ◽  
Jeckoniah O Ndinya-Achola ◽  
Corette Parker ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Spatial Distribution ◽  
Sexual Risk ◽  
Risk Behaviors ◽  
Sexual Risk Behaviors ◽  
Young Men ◽  
And Cluster Analysis

scholarly journals Market characteristics and cluster analysis of non-wood forest products

2017 ◽  
Vol 141 (3-4) ◽  
pp. 151-162
Author(s):  
Ljiljana Keča ◽  
Špela Pezdevšek-Malovrh ◽  
Sreten Jelić ◽  
Stjepan Posavec ◽  
Milica Marčeta
Keyword(s):  
Cluster Analysis ◽  
Spatial Distribution ◽  
Research Method ◽  
Forest Products ◽  
Aromatic Plants ◽  
Medicinal And Aromatic Plants ◽  
Main Research ◽  
And Cluster Analysis ◽  
Wild Berries

The share of small and medium-sized enterprises (SMEs) is largely present in forestry, especially in the segment related to non-wood forest products (NWFPs) in Europe. They are also a dominant category in entrepreneurship in Serbia. Therefore, the subjects of this research were the companies operating in the sector of NWFPs, within specific statistical regions of Serbia. The database of SMEs was obtained from 119 SMEs and the share of surveyed SMEs was 81.5%. The main research method was two-step cluster analysis. Questionnaire was used for the purpose of the research. The aim of the research was to identify clusters in order to establish similarities within the defined clusters and the differences among them. Spatial distribution of specific categories of NWFPs in nature (mushrooms, medicinal and aromatic plants, honey and wild berries), contributed to the portfolio of the companies. This largely influenced clusters that are created by categories of products that are typical for certain statistical regions in Serbia.

scholarly journals Spatial distribution and cluster analysis of dengue using self organizing maps in Andhra Pradesh, India, 2011–2013

2018 ◽  
Vol 3 (1) ◽  
pp. 52-61 ◽  
Author(s):  
Srinivasa Rao Mutheneni ◽  
Rajasekhar Mopuri ◽  
Suchithra Naish ◽  
Deepak Gunti ◽  
Suryanarayana Murty Upadhyayula
Keyword(s):  
Cluster Analysis ◽  
Spatial Distribution ◽  
Andhra Pradesh ◽  
Self Organizing Maps ◽  
And Cluster Analysis ◽  
Self Organizing

scholarly journals Stages of spatial dispersion of the COVID-19 epidemic in Poland in the first six months (4 March-20 September, 2020).

2021 ◽  
Vol 94 (3) ◽  
pp. 305-324
Author(s):  
Przemysław Śleszyński
Keyword(s):  
Time Series ◽  
Cluster Analysis ◽  
Spatial Distribution ◽  
Population Density ◽  
Spatial Patterns ◽  
Concentration Index ◽  
Spatial Dispersion ◽  
First Case ◽  
And Cluster Analysis ◽  
Day By Day

The article is a continuation of research published by the author elsewhere (Śleszyński, 2020). The elaboration presents the regularity of spatial distribution of infections during the first six months after the detection of SARS-CoV-2 coronovirus in Poland under strong lockdown conditions. The main aim is to try to determine the basic temporal-spatial patterns and to answer the questions: to what extent the phenomenon was ordered and to what extent it was chaotic, whether there are any particular features of spread, whether the infection is concentrated or dispersed and whether the spreading factors in Poland are similar to those observed in other countries. Day by day data were used according to the counties collected in Rogalski’s team (2020). The data were aggregated to weekly periods (7 days) and then the regularity of spatial distribution was searched for using the cartogram method, time series shifts, rope correlation between the intensity of infections in different periods, Herfindahl-Hirschman concentration index (HHI) and cluster analysis. A spatial typology of infection development in the population was also performed. Among other things, it was shown that during the first period (about 100 days after the first case), the infections became more and more spatially concentrated and then dispersed. Differences were also shown in relation to the spread of the infection compared to observations from other countries, i.e. no relation to population density and level of urbanization.

scholarly journals Ultraviolet and Optical Observations of OB Associations and Field Stars in the Southwest Region of the Large Magellanic Cloud

2001 ◽  
Vol 121 (2) ◽  
pp. 891-904 ◽  
Author(s):  
Joel Wm. Parker ◽  
Dennis Zaritsky ◽  
Theodore P. Stecher ◽  
Jason Harris ◽  
Philip Massey
Keyword(s):  
Large Magellanic Cloud ◽  
Magellanic Cloud ◽  
Optical Observations ◽  
Southwest Region ◽  
Ob Associations
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