This paper reviews the potential applications of satellite remote sensing to regional science
research in urban settings. Regional science is the study of social problems that have a …

Spatial autocorrelation plays an important role in geographical analysis; however, there is
still room for improvement of this method. The formula for Moran's index is complicated, and …

The number of applications of spatial demography has been growing mostly since the
1990s. Ranging from simple visualization to sophisticated spatial analytical techniques …

A number of spatial statistic measurements such as Moran's I and Geary's C can be used for
spatial autocorrelation analysis. Spatial autocorrelation modeling proceeded from the 1 …

We determine the spatial pattern of Aedes aegypti and the containers in which they develop
in two neighborhoods of the Amazonian city of Iquitos, Peru. Four variables were examined …

The creation of a spatial weights matrix by a procedure called AMOEBA, A Multidirectional
Optimum Ecotope‐Based Algorithm, is dependent on the use of a local spatial …

The rapid urbanization of the developing world has important consequences for human
health. Although several authorities have called for better research on the relationships …

Slums are home to a large fraction of urban residents in cities of developing nations, but little
attempt has been made to go beyond a simple slum/non-slum dichotomy, nor to identify …

Spatial correlation modeling comprises both spatial autocorrelation and spatial cross-
correlation processes. The spatial autocorrelation theory has been well-developed. It is …

Background Early marriage and motherhood have long been prevalent in India, with 44.5%
of women aged 20–24 reporting marriage before 18 in NFHS 3 (2005–2006), dropping to …