GWR-PM - Spatial variation relationship analysis with Geographically Weighted Regression (GWR) - An application at Peninsular Malaysia

Spatial Modeling of Residential Crowding in Alexandria Governorate, Egypt: A Geographically Weighted Regression (GWR) Technique

Despite growing research for residential crowding effects on housing market and public health perspectives, relatively little attention has been paid to explore and model spatial patterns of residential crowding over space. This paper focuses upon analyzing the spatial relationships between residential crowding and socio-demographic variables in Alexandria neighborhoods, Egypt. Global and local...

Semiparametric geographically weighted generalised linear modelling in GWR 4.0

Smooth Coefficient Variation in Spatial Econometric Models: A Performance Comparison of Spatial STAR and GWR

Using Geographically Weighted Regression (GWR) to Explore Spatial Varying Relationships of Immature Mosquitoes and Human Densities with the Incidence of Dengue

The only way for dengue to spread in the human population is through the human-mosquito-human cycle. Most research in this field discusses the dengue-mosquito or dengue-human relationships over a particular study area, but few have explored the local spatial variations of dengue-mosquito and dengue-human relationships within a study area. This study examined whether spatial heterogeneity exists...

X - Ray and Gwr Sources

3 RESUMEN ABSTRACT We discuss the model for the Galactic sample of the AM CVn systems with P orb ≤ 1500 s that can be detected in the optical and/or X-ray bands and may be resolved by the gravitational waves detector LISA. At 3 ∼ < P ∼ < 10 min all detectable systems are X-ray sources. At P ∼ > 10 min most systems are only detectable in the V-band. About 30% of the X-ray sources is also detecta...