Spatial Variations in School Performance: A Local Analysis Using Geographically Weighted Regression

Spatial Variations in School Performance: a Local Analysis Using Geographically Weighted Regression

In Britain, the performance of all state primary schools is assessed by students’ attainment levels in a set of standardized tests administered to pupils at the ages of 7 and 11 (the so-called Key Stages 1 and 2, respectively). These data are analysed for 3687 schools in northern England. In particular, school performance is linked to the number of students taking the test at each school and to...

Local spatial variations analysis of smear-positive tuberculosis in Xinjiang using Geographically Weighted Regression model

BACKGROUND The spatial interplay between socioeconomic factors and tuberculosis (TB) cases contributes to the understanding of regional tuberculosis burdens. Historically, local Poisson Geographically Weighted Regression (GWR) has allowed for the identification of the geographic disparities of TB cases and their relevant socioeconomic determinants, thereby forecasting local regression coefficie...

A Mixed Geographically and Temporally Weighted Regression: Exploring Spatial-Temporal Variations from Global and Local Perspectives

To capture both global stationarity and spatiotemporal non-stationarity, a novel mixed geographically and temporally weighted regression (MGTWR) model accounting for global and local effects in both space and time is presented. Since the constant and spatial-temporal varying coefficients could not be estimated in one step, a two-stage least squares estimation is introduced to calibrate the mode...

Assessing Local Variations of Deforestation Processes in Mexico Using Geographically Weighted Regression

This study identifies drivers of deforestation in Mexico by applying Geographically Weighted Regression (GWR) models to cartographic and statistical data. A wall-to-wall multitemporal GIS database was constructed incorporating digital land use/land cover maps for 2002 and 2007; along with ancillary data (road network, settlements, topography and socioeconomical parameters). The database analysi...

Using Geographically Weighted Regression to Explore Local Crime Patterns