期刊： SPATIAL STATISTICS, 2021; 43 ()
Detailed spatial representation of socioeconomic data has the potential to improve the reliability and quality of spatial assessment. In this paper, w......
期刊： SPATIAL STATISTICS, 2021; 42 ()
Identifying poverty determinants in a region is crucial for taking effective poverty reduction measures. This paper utilizes two variable importance a......
期刊： SPATIAL STATISTICS, 2021; 41 ()
Intensity estimation is a common problem in statistical analysis of spatial point pattern data. This paper proposes a nonparametric Bayesian method fo......
期刊： SPATIAL STATISTICS, 2020; 38 ()
The joint influence of different facilities plays an important role in understanding situational profiles of crime incidents. While spatial conjunctiv......
期刊： SPATIAL STATISTICS, 2019; 31 ()
We propose a new spatio-temporal autologistic centered model for binary data on a lattice. Centering allows the self-regression coefficients to be int......
期刊： SPATIAL STATISTICS, 2019; 31 ()
This paper studies the generalized method of moment (GMM) estimation of partially linear single-index spatial autoregressive model (PLSISARM). The asy......
期刊： SPATIAL STATISTICS, 2018; 23 ()
In spatial statistics in general, and in geostatistics in particular, the choice between a spatial model with drift and a model with constant global m......
期刊： SPATIAL STATISTICS, 2018; 28 ()
The point spread function (PSF) effect exists ubiquitously in real remotely sensed data and such that the observed pixel signal is not only determined......
期刊： SPATIAL STATISTICS, 2018; 25 ()
This paper investigates variable selection in the spatial autoregressive model with independent and identical distributed errors. A penalized quasi-ma......
期刊： SPATIAL STATISTICS, 2018; 25 ()
In this paper, a class of partially linear additive spatial autoregressive models (PLASARM) is studied. With the nonparametric functions approximated ......
期刊： SPATIAL STATISTICS, 2018; 26 ()
Geographical weighted quantile regression (GWQR) is an important tool for exploring the spatial non-stationarity of the regression relationship and pr......
期刊： SPATIAL STATISTICS, 2018; 26 ()
Spatial-temporal modeling is commonly used to explain the dependence of environmental and socio-economic variables over space and time. Early publishe......
期刊： SPATIAL STATISTICS, 2017; 20 ( )
Geographically weighted regression kriging (GWRK) is a popular interpolation method, considering not only spatial parametric nonstationarity and relat......
期刊： SPATIAL STATISTICS, 2017; 21 ( )
While Chinese governments used UAs (urban agglomerations) as a policy tool to gain an advantageous position in global and regional competition and mad......
期刊： SPATIAL STATISTICS, 2017; 21 ( )
China has achieved significant achievements in poverty reduction since the launch of its reform and opening policy in 1978. The rural poor population ......
