This article aims to add a regional science perspective and a geographical dimension to our understanding of substantive questions regarding self-reported happiness and well-being through the specification and use of multilevel models. Multilevel models are used with data from the British...

In the classic p-median problem, it is assumed that each point of demand will be served by his or her closest located facility. The p-median problem can be thought of as a ‘‘single-level’’ allocation and location problem, as all demand at a specific location is assigned...

This essay assesses the evolution of the way in which spatial data analytical methods have been incorporated into software tools over the past two decades. It is part retrospective and prospective, going beyond a historical review to outline some ideas about important factors that drove the...

The importance of information technologies in regional economic performance is widely accepted but only widely studied in more populous regions in the United States. Local and state development practitioners and policy makers actively court and promote Information Technology...

The literature on whether new roads cause deforestation in developing countries has grown rapidly. However, improvements rather than new construction are increasingly common. Renovations are undertaken when prior maintenance expenditures have not been adequateor when economic or political...

This analysis seeks to better understand the geography of American poverty over time. Cluster analysis is used to group 34,908 minor civil divisions according to their similarity in mean-centered poverty rates from 1980 to 2000. Logistic regression is used to asses the groupings' statistical...

Corridor location for developing new infrastructure such as transmission lines, roadways, and pipelines over terrain must consider numerous factors when determining the set of optimal route candidates. Previous researchers have cast this problem as a multiobjective least cost path problem, where...

This article analyzes geo-referenced data to elucidate the relations between deforestation and access to roads andmarkets, attributes of the physical environment, land tenure, andzoningpolicies in Santa Cruz, Bolivia. It presents separate models for Santa Cruz as a whole and for seven different...

In this application, income and job growth in the eastern United States are explained using a partial adjustment model with regime switching potential and spatial spillover, or “Smooth Transition†spatial process models (STAR). This relatively new class of spatial regression models...

Applications using quasi-experimental comparison group designs in regional science and geography have increased substantially over the last three decades, inspired by the work of Andrew Isserman and colleagues in the 1980s and 1990s, robust literatures on quasi-experimental design in fields like...