BACKGROUND Numerous studies have found adverse health effects of acute and chronic exposure to fine particulate matter (PM2.5). Air pollution epidemiological studies relying on ground measurements provided by monitoring networks are often limited by sparse and unbalanced spatial distribution of the monitors. Studies have found correlations between satellite aerosol optical depth (AOD) and PM2.5...

OBJECTIVE Evaluate disparities in a Brazilian state by conducting an analysis to determine whether socioeconomic status was associated with the reported intimate partner sexual violence (IPSV) rates against women. DESIGN A retrospective, ecological study. SETTINGS Data retrieved from the Notifiable Diseases Information System database of the Ministry of Health of Brazil. PARTICIPANTS All ...

Bike-sharing holds promise for available and healthy mobility services during COVID-19 where bike sharing users can make trips with lower health concerns due to social distancing compared the restricted transportation modes such as public transit ridesharing services. Leveraging trip data of Divvy bike-sharing system in Chicago, this study exploresspatially heterogeneous effects built environme...

Habitat suitability index (HSI) models provide spatially explicit information on the capacity of a given habitat to support a species of interest, and their prevalence has increased dramatically in recent years. Despite caution that the reliability of HSIs must be validated using independent, quantitative data, most HSIs intended to inform terrestrial and marine species management remain unvali...

It is well established that health is related to Socio-Economic Etatus (SES) or deprivation status (Adler (1994)). Socio-Economic models or multiple deprivation models of health and inequalities are widely used by Public Health practitioners. Since 2000, the Department of Health has developed a pathway, which approach to determine the important influences on health within a population. A lot of...

In recent years, geographically weighted regression (GWR) has become popular for modeling spatial heterogeneity in a regression context. However, the current weighting function used in GWR only considers the geographical distances of trees in a stand, while the attributes (e.g., tree diameter) of the neighboring trees are totally ignored. In this study, we proposed a new weighting function that...

Soil erosion is one of the most common types land degradation. To provide useful information for proper management, quantitative soil evaluation and identifying influential factors are needed. However, rare studies have been reported on spatial modeling in connection with affective to prioritize locality type control measures. Hence, aim this study was (1) assess erosion-prone areas Talar water...

BACKGROUND The present research evaluates the possibility of spatial heterogeneity in the effects on neighborhood crime rates of both traditional demographic indicators—immigrant concentration, racial composition, socioeconomic disadvantage, and residential instability—and a contemporary aspect of housing transition—foreclosure—that has garnered significant attention in recent scholarship. OBJE...

In recent years, geographically weighted regression (GWR) models have been widely used to address the spatial heterogeneity and autocorrelation of PM2.5, but these studies not fully considered effects all potential variables on PM2.5 variation rarely optimized for residuals. Therefore, we first propose a modified GWR model based principal component analysis (PCA-GWR), then introduce five differ...