scholarly journals Spatio-Temporal Evaluation and Quantification of Pollutant Source Contribution in Little Akaki River, Ethiopia: Conjunctive Application of Factor Analysis and Multivariate Receptor Model

2020 ◽  
Vol 30 (1) ◽  
pp. 23-34
Author(s):  
Zelalem Angello ◽  
Jens Tränckner ◽  
Beshah Behailu
Keyword(s):  
Factor Analysis ◽  
Receptor Model ◽  
Source Contribution ◽  
Pollutant Source ◽  
Spatio Temporal ◽  
Akaki River

Estimation of Contribution by Pollutant Source of VOCs in Industrial Complexes of Gwangju Using Receptor Model (PMF)

2021 ◽  
Vol 30 (3) ◽  
pp. 219-234
Author(s):  
Jin-Hwan Park ◽  
Byoung-Hoon Park ◽  
Seung-Ho Kim ◽  
Yoon-Cheol Yang ◽  
Ki-Won Lee ◽  
...  
Keyword(s):  
Receptor Model ◽  
Industrial Complexes ◽  
Pollutant Source

Source contribution of atmospheric aerosols in Bangkok metropolitan area by CMB8 receptor model

2004 ◽  
Vol 21 (1) ◽  
pp. 80 ◽  
Author(s):  
A. Wangkiat ◽  
N.W. Harvey ◽  
H. Garivait ◽  
S. Okamoto
Keyword(s):  
Metropolitan Area ◽  
Atmospheric Aerosols ◽  
Receptor Model ◽  
Source Contribution

scholarly journals Analyzing the spatio-temporal relationship between dengue vector larval density and land-use using factor analysis and spatial ring mapping

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Muhammad Shahzad Sarfraz ◽  
Nitin K Tripathi ◽  
Taravudh Tipdecho ◽  
Thawisak Thongbu ◽  
Pornsuk Kerdthong ◽  
...  
Keyword(s):  
Land Use ◽  
Factor Analysis ◽  
Temporal Relationship ◽  
Larval Density ◽  
Dengue Vector ◽  
Spatio Temporal

Critical review of the receptor model based on target transformation factor analysis

Chemosphere ◽  
1997 ◽  
Vol 35 (8) ◽  
pp. 1847-1865 ◽  
Author(s):  
Giorgio Moro ◽  
Marina Lasagni ◽  
Nicola Rigamonti ◽  
Ugo Cosentino ◽  
Demetrio Pitea
Keyword(s):  
Factor Analysis ◽  
Critical Review ◽  
Receptor Model ◽  
Model Based ◽  
Transformation Factor

scholarly journals Identifying temporal and spatial patterns of variation from multi-modal data using MEFISTO

2020 ◽  
Author(s):  
Britta Velten ◽  
Jana M. Braunger ◽  
Damien Arnol ◽  
Ricard Argelaguet ◽  
Oliver Stegle
Keyword(s):  
Factor Analysis ◽  
Dimensionality Reduction ◽  
Data Driven ◽  
High Dimensional ◽  
Modal Data ◽  
Temporal And Spatial Patterns ◽  
Spatially Resolved ◽  
Temporal And Spatial ◽  
Spatio Temporal ◽  
Personalized Health

AbstractFactor analysis is among the most-widely used methods for dimensionality reduction in genome biology, with applications from personalized health to single-cell studies. Existing implementations of factor analysis assume independence of the observed samples, an assumption that fails in emerging spatio-temporal profiling studies. Here, we present MEFISTO, a flexible and versatile toolbox for modelling high-dimensional data when spatial or temporal dependencies between the samples are known. MEFISTO maintains the established benefits of factor analysis for multi-modal data, but enables performing spatio-temporally informed dimensionality reduction, interpolation and separation of smooth from non-smooth patterns of variation. Moreover, MEFISTO can integrate multiple related datasets by simultaneously identifying and aligning the underlying patterns of variation in a data-driven manner. We demonstrate MEFISTO through applications to an evolutionary atlas of mammalian organ development, where the model reveals conserved and evolutionary diverged developmental programs. In applications to a longitudinal microbiome study in infants, birth mode and diet were highlighted as major causes for heterogeneity in the temporally-resolved microbiome over the first years of life. Finally, we demonstrate that the proposed framework can also be applied to spatially resolved transcriptomics.

Spatio‐temporal clustering and risk factor analysis of bovine theileriosis ( Theileria parva ) in Zimbabwe from 1995 to 2018

2021 ◽  
Author(s):  
Musaemura Manyenyeka ◽  
Whatmore Munetsi Tagwireyi ◽  
Munyaradzi Christopher Marufu ◽  
Reverend Moregood Spargo ◽  
Eric Etter
Keyword(s):  
Factor Analysis ◽  
Risk Factor ◽  
Risk Factor Analysis ◽  
Theileria Parva ◽  
Temporal Clustering ◽  
Spatio Temporal ◽  
Bovine Theileriosis
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