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...

Although relationships between fragmentation of urban development and other forms of administrative and land cover fragmentation are important, they are poorly understood. This research aimed to better understand these relationships in order to inform land use planning in the Roaring Fork/Colorado River Corridor of Colorado. Change in fragmentation of urban development between 1985 and 1999 was...

Climate forecasts predict an increase in frequency and intensity of wildfires. Associations between health outcomes and population exposure to smoke from Washington 2012 wildfires were compared using surface monitors, chemical-weather models, and a novel method blending three exposure information sources. The association between smoke particulate matter ≤2.5 μm in diameter (PM2.5) and cardiopul...

Obtaining high-quality precipitation datasets with a fine spatial resolution is of great importance for variety hydrological, meteorological and environmental applications. Satellite-based remote sensing can measure in large areas but suffers from inherent bias relatively coarse resolutions. Based on the high accuracy surface modeling method (HASM), this study proposed new downscaling method, m...

Abstract This paper describes GeoWeightedModel, a R package, which provides graphical user friendly web application to perform techniques from subarea of spatial Statistics known as Geographically Weighted (GW) models, such Regression (GWR) and its extensions: Robust GWR, Generalized Heteroskedastic Mixed "Scalable​ GWR), Principal Component Analysis, Discriminant analysis. It also all...