The software for spatial econometrics available in the R system for statistical computing is
reviewed. The methods are illustrated in a historical perspective, highlighting the main lines …

In many instances in empirical spatial analysis, the method of choice is a regression
analysis, whereby a variable of interest (the dependent variable) is related in a linear way to …

Social distancing is the core policy response to coronavirus disease 2019 (COVID-19). But,
as federal, state and local governments begin opening businesses and relaxing shelter-in …

O objetivo da disciplina é apresentar a teoria da econometria espacial, que representa o
subcampo da econometria que leva em conta na estratégia empírica a influência da …

Regional scientists frequently work with regression relationships involving sample data that
is spatial in nature. For example, hedonic house-price regressions relate selling prices of …

Although interest in spatial regression models has surged in recent years, a comprehensive,
up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial …

Many disciplines have influenced the representation of spatial data, both in analogue and
digital forms. Surveyors, navigators, and military and civil engineers refined the fundamental …

Recent advances in the implementation of spatial econometrics model estimation
techniques have made it desirable to compare results, which should correspond between …

In this paper, I give a personal view on the development of the field of spatial econometrics
during the past 30 years. I argue that it has moved from the margins to the mainstream of …

Spatial econometrics has been criticized by some economists because some model
specifications have been driven by data‐analytic considerations rather than having a firm …