The literature on the measurement of regional convergence at different spatial scales and over different time periods is extensive. This study explores the potential role of variations in European regional technical efficiency as a contributing factor in providing explanation for convergence or divergence. To control for spatial dependence among regions, the paper uses a spatial stochastic fron...

Spatial boundaries are a defining feature of a city’s social and spatial organization. Rivers, highways, and train tracks create excess distance between nearby locations and often mark social separation – they become dividing lines that are well known to residents. Qualitative studies are rich with insight about the local significance of boundaries, but they have been largely ignored in the qua...

The present study examined year-to-year variations in areas affected by drought during a period of 39 water yearsin Iran. Ninety-five meteorological stations were chosen to provide near-continuous long-term records, althoughsome data was missing (less than 10%). The missing data points were estimated using a linear correlation methodbetween the reference station with the missing data points and...

Extended Abstract. Inferences for spatial data are affected substantially by the spatial configuration of the network of sites where measurements are taken. Consider the following standard data-model framework for spatial data. Suppose a continuous, spatially-varying quantity, Z, is to be observed at a predetermined number, n, of points ....[ To Countinue Click here]

Innovations are inherently connected to knowledge transfers. The need of face-to-face contacts to transfer tacit knowledge is commonly argued to cause a regional dimension of innovative activities. The paper presents an alternative explanation based on a model of boundedly rational actors who search for knowledge. It is shown that a regional dimension exists in these processes that results from...

This paper is concerned with the estimation of the autoregressive parameter in a widely considered spatial autocorrelation model. The typical estimator for this parameter considered in the literature is the (quasi) maximum likelihood estimator corresponding to a normal density. However, as discussed in the paper, the (quasi) maximum likelihood estimator may not be computationally feasible in ma...

The concept of endemism is useful in changes, scaling of endemism also changes, producing a different picture of endemism for each spatial scale. quantifying the biological uniqueness of an area, and has been used by many authors as a meaningful Moreover, the areal definition assumes equal levels of heterogeneity in different landscapes (clearly a alternative to simple species richness. The tra...