نتایج جستجو برای: geographically weighted regression
تعداد نتایج: 422966 فیلتر نتایج به سال:
OBJECTIVES Numerous studies have revealed the adverse health effects of acute and chronic exposure to particulate matter less than 10 μm in aerodynamic diameter (PM10). The aim of the present study was to examine the spatial distribution of PM10 concentrations and cardiovascular mortality and to investigate the spatial correlation between PM10 and cardiovascular mortality using spatial scan sta...
Background and Objectives: Infection of birds to Highly Pathogenic Avian Influenza (HPAI) and their extinction impose heavily losses on the livestock and poultry industry along with public health. Nowadays, due to the volume and variety of data, the need of using location-based technologies and data mining sciences has become inevitable. This study aims to model the prevalence of avian influenz...
Previous studies consistently indicate measurable local associations between alcohol and drug usage and the incidence of violence, which reveal the importance of spatial analysis in the study of alcohol, drugs, and violence. While studies increasingly incorporate spatial correlation among model residuals to improve model performance, many analyses assume associations that are constant across a ...
A Spatial Disaster Assessment Model of Social Resilience Based on Geographically Weighted Regression
Since avoiding the occurrence of natural disasters is difficult, building ‘resilient cities’ is gaining more attention as a common objective within urban communities. By enhancing community resilience, it is possible to minimize the direct and indirect losses from disasters. However, current studies have focused more on physical aspects, despite the fact that social aspects may have a closer re...
Local health status and health care use may be negatively influenced by low local socio-economic profile, population decline and population ageing. To support the need for targeted local health care, we explored spatial patterns of type 2 diabetes mellitus (T2DM) drug use at local level and determined its association with local demographic, socio-economic and access to care variables. We assess...
BACKGROUND Socioeconomic factors play a complex role in determining the risk of campylobacteriosis. Understanding the spatial interplay between these factors and disease risk can guide disease control programs. Historically, Poisson and negative binomial models have been used to investigate determinants of geographic disparities in risk. Spatial regression models, which allow modeling of spatia...
A Spatial Disaster Assessment Model of Social Resilience Based on Geographically Weighted Regression
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