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Published in 2018 at "Agroforestry Systems"
DOI: 10.1007/s10457-018-0334-3
Abstract: Although there is greater awareness of spatial variability of factors affecting plant growth, regression methods with residuals independently and identically distributed, are still used. Thus, we compared spatial and non-spatial regression models in evaluating the…
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Keywords:
spatial regression;
non spatial;
soil;
growth ... See more keywords
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Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.03.012
Abstract: Abstract Geostatistical modelling is widely used to describe data with spatial dependence structure. Such modelling often assumes a Gaussian distribution, an assumption which is frequently violated due to the asymmetric nature of variables in diverse…
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Keywords:
spatial regression;
chemical data;
saunders spatial;
birnbaum saunders ... See more keywords
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Published in 2019 at "International Journal of Disaster Risk Reduction"
DOI: 10.1016/j.ijdrr.2019.101224
Abstract: Abstract This paper presents a new social vulnerability index construction approach that utilizes geographically weighted local regression modeling and spatial clustering to determine location-specific weights of vulnerability indicators. Sub-regions within the study region with homogeneous…
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Keywords:
regression;
spatial regression;
social media;
vulnerability ... See more keywords
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Published in 2019 at "Political Analysis"
DOI: 10.1017/pan.2019.35
Abstract: While the spatial weights matrix $\boldsymbol{W}$ is at the core of spatial regression models, there is a scarcity of techniques for validating a given specification of $\boldsymbol{W}$. I approach this problem from a measurement error…
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Keywords:
spatial regression;
regression;
weights matrix;
regression models ... See more keywords
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Published in 2023 at "International journal of injury control and safety promotion"
DOI: 10.1080/17457300.2023.2188469
Abstract: The article aims to investigate the influence of risk exposure factors on the frequency of road crashes from January to August 2020 in Ciudad Juarez, Mexico. It is a longitudinal study with four data sets:…
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Keywords:
road;
road crashes;
frequency road;
spatial regression ... See more keywords
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Published in 2023 at "International Regional Science Review"
DOI: 10.1177/01600176231173438
Abstract: Macro econometrics has been recently affected by the so-called ‘Google Econometrics’. Comparatively less attention has been paid to the subject by the regional and spatial sciences where the Big Data revolution is challenging the conventional…
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Keywords:
estimate spatial;
regression;
data estimate;
web data ... See more keywords
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Published in 2021 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1008256
Abstract: Modern spatial transcriptomics methods can target thousands of different types of RNA transcripts in a single slice of tissue. Many biological applications demand a high spatial density of transcripts relative to the imaging resolution, leading…
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Keywords:
demixing non;
spatial regression;
barcode demixing;
regression bardensr ... See more keywords
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Published in 2021 at "Symmetry"
DOI: 10.3390/sym13112030
Abstract: Influential observations (IOs), which are outliers in the x direction, y direction or both, remain a problem in the classical regression model fitting. Spatial regression models have a peculiar kind of outliers because they are…
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Keywords:
spatial regression;
influential observations;
bad leverage;
regression model ... See more keywords