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...

Landslide Susceptibility Assessment (LSA) is a fundamental component of landslide risk management and substantial area geospatial research. Previous researchers have considered the spatial non-stationarity relationship between occurrences Conditioning Factors (LCFs) as fixed effects. The effects consider scale different LCFs an average value, which represented by single bandwidth in Geographica...

the rapid change of land use and land cover in the metropolitan area of tehran has influenced the distribution pattern of land surface temperature (lst). in this study, a spatial autocorrelation analysis is adopted to process the spatial-temporal changes of lst and normalized difference vegetation index (ndvi) in tehran during the period of 1987 to 2010. global spatial autocorrelation analysis ...