Purpose Overview of geographically explicit momentary assessment research, applied to
the study of mental health and well-being, which allows for cross-validation, extension, and …

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 …

Spatial econometric theory and practice have been dominated by a focus on object data. In
economic analysis these objects correspond to economic agents with discrete locations in …

Given the importance of tourism as a catalyst for local economic growth, the identification of
tourist flows determinants is also important. This paper reports results from an econometric …

There has been much recent controversy concerning the interpretation of distance-decay
parameters estimated from gravity models. A relationship between spatial structure and …

Using 2016 data from the National Migrant Population Dynamic Monitoring, this article
establishes a relationship network to describe migrant workers' interprovincial hukou …

When people commute to work longer or farther than the actual spatial arrangement of
homes and workplaces suggest they could be commuting, people are engaging in excess …

Gaining a better understanding of spatial data and a deeper meaning of spatial statistical
results gleaned from geo‐referenced data requires a more complete knowledge of …

Spatial interaction models of the gravity type are widely used to model origin–destination
flows. They draw attention to three types of variables to explain variation in spatial …

To date a clear, simple, and concise definition of spatial autocorrelation has eluded the
literature, although an increasing number of publications concerned with this concept have …