Standard epidemiological models for COVID-19 employ variants of compartment (SIR or
susceptible–infectious–recovered) models at local scales, implicitly assuming spatially …

BACKGROUND Demography is an inherently spatial science, yet the application of spatial
data and methods to demographic research has tended to lag that of other disciplines. In …

As noted by theorists such as Blau, Durkheim, Mayhew, and others, interaction opportunity is
a fundamental determinant of social structure. One of the most empirically well established …

Objectives Previous criminological scholarship has posited that network ties among
neighborhood residents may impact crime rates, but has done little to consider the specific …

This study assessed the spatial distribution of population growth of Marinduque, an island
province in the heart of the Philippines. Based on the results, population of the province …

BACKGROUND In broad terms, and apart from ethnic discriminatory rules enforced in some
places and at some times, residential segregation may be ascribed both to economic …

Ethnic residential segregation has become a compelling issue in Europe, following from a
debate that links segregation with the failure of integrating immigrants into host societies …

Social scientists characterize social life as a hierarchy of environments, from the microlevel
of an individual's knowledge and perceptions to the macrolevel of large‐scale social …

To address the effects of increasing homeless populations, planners must understand the
size and distribution of their homeless populations, as well as how information and …

Stochastic models for finite binary vectors are widely used in sociology, with examples
ranging from social influence models on dichotomous behaviors or attitudes to models for …