A spatially autocorrelated effect exists in precipitation of a mountainous basin. This study examines the relationship between maximum annual rainfall and elevation in the Kaoping River Basin of southern Taiwan using spatial regression models (i.e. geographically weighted regression (GWR), simultaneous autoregression (SAR), and conditional autoregression (CAR)). Results show that the GWR, SAR, ...

Geographically Weighted Regression (GWR) is a method of spatial statistical analysis used to explore geographical differences in the effect of one or more predictor variables upon a response variable. However, as a form of local analysis, it does not scale well to (especially) large data sets because of the repeated processes of fitting and then comparing multiple regression surfaces. A solutio...

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...

Geographically weighted regression (GWR) is a way of exploring spatial nonstationarity by calibrating a multiple regression model which allows different relationships to exist at different points in space. Nevertheless, formal testing procedures for spatial nonstationarity have not been developed since the inception of the model. In this paper the authors focus mainly on the development of stat...

GWR, in nature, is a local modelling approach in that it models spatial heterogeneity by sequentially fitting a series of weighted and localised regression models, centred upon each fit location. The weights are inversely proportional to the geographic distance between the fit points and the observations. SVC, on the other hand, is a global modelling approach in that it regards the spatial hete...

Hedonic house price models typically impose a constant price structure on housing characteristics throughout an entire market area. However, there is increasing evidence that the marginal prices of many important attributes vary over space, especially within large markets. In this paper, we compare two approaches to examine spatial heterogeneity in housing attribute prices within the Tucson, Ar...

BACKGROUND Over the past two decades, major epidemics of hand, foot, and mouth disease (HFMD) have occurred throughout most of the West-Pacific Region countries, causing thousands of deaths among children. However, few studies have examined potential determinants of the incidence of HFMD. METHODS Reported HFMD cases from 2912 counties in China were obtained for May 2008. The monthly HFMD cumu...

Soil organic carbon stock plays a key role in the global carbon cycle and the precision agriculture. Visible and near-infrared reflectance spectroscopy (VNIRS) can directly reflect the internal physical construction and chemical substances of soil. The partial least squares regression (PLSR) is a classical and highly commonly used model in constructing soil spectral models and predicting soil p...

A 0 A0, so that Dov = Aov + μ obeys the GWR (for μ in some allowed interval). The standard Neuberger fermion uses the Wilson operator D0 = DW [4]. The guide-line for our concept to improve overlap fermions [5] is the following observation: ifD0 is already a GW fermion (with respect to a fixed kernel R), then Dov = D0. We can explicitly construct an approximate solution to the GWR, use it as D0,...