"Spatial Regression" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Methods used to take into account and incorporate spatial autocorrelation and regional variation into regression analysis models of data that has spatial dependency, and also to provide information on the spatial relationships among the variables.
| Descriptor ID |
D000068916
|
| MeSH Number(s) |
E05.318.740.750.862 E05.318.740.933.375 N05.715.360.750.695.825 N05.715.360.750.746.375 N06.850.520.830.750.862 N06.850.520.830.933.375
|
| Concept/Terms |
Spatial Regression- Spatial Regression
- Regression, Spatial
- Regressions, Spatial
- Spatial Regressions
Geographically Weighted Regression- Geographically Weighted Regression
- Geographically Weighted Regressions
- Regression, Geographically Weighted
- Regressions, Geographically Weighted
- Weighted Regression, Geographically
- Weighted Regressions, Geographically
|
Below are MeSH descriptors whose meaning is more general than "Spatial Regression".
Below are MeSH descriptors whose meaning is more specific than "Spatial Regression".
This graph shows the total number of publications written about "Spatial Regression" by people in this website by year, and whether "Spatial Regression" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2017 | 1 | 2 | 3 |
| 2018 | 0 | 3 | 3 |
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Below are the most recent publications written about "Spatial Regression" by people in Profiles.
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Space-Time Cluster's Detection and Geographical Weighted Regression Analysis of COVID-19 Mortality on Texas Counties. Int J Environ Res Public Health. 2021 May 22; 18(11).
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Association of Neighborhood-Level Factors and COVID-19 Infection Patterns in Philadelphia Using Spatial Regression. AMIA Jt Summits Transl Sci Proc. 2021; 2021:545-554.
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The effect of sociodemographic factors on COVID-19 incidence of 342 cities in China: a geographically weighted regression model analysis. BMC Infect Dis. 2021 May 07; 21(1):428.
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Geographically varying relationships of COVID-19 mortality with different factors in India. Sci Rep. 2021 04 12; 11(1):7890.
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Exploration of spatial-temporal varying impacts on COVID-19 cumulative case in Texas using geographically weighted regression (GWR). Environ Sci Pollut Res Int. 2021 Aug; 28(32):43732-43746.
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Spatial analysis of COVID-19 incidence and the sociodemographic context in Brazil. PLoS One. 2021; 16(3):e0247794.
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COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China. Int J Environ Res Public Health. 2021 02 22; 18(4).
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Structural Inequalities Established the Architecture for COVID-19 Pandemic Among Native Americans in Arizona: a Geographically Weighted Regression Perspective. J Racial Ethn Health Disparities. 2022 Feb; 9(1):165-175.
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Spatial distribution characteristics of the COVID-19 pandemic in Beijing and its relationship with environmental factors. Sci Total Environ. 2021 Mar 20; 761:144257.
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COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data. BMJ Open. 2020 11 03; 10(11):e043560.