Spatial data contain locational information as well as attribute information. It is increasingly
recognized that most data sets are spatial in that the attribute being measured is typically …

We review various recent approaches to making digital soil maps based on geographic
information systems (GIS) data layers, note some commonalities and propose a generic …

Spatial structures of ecological communities may originate either from the dependence of
community structure on environmental variables or/and from community-based processes. In …

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …

This paper presents a theoretical growth model which explicitly takes into account
technological interdependence among economies and examines the impact of spillover …

James LeSage 1. obseRVation-leVel data dependence spatial econometrics is a subset of
the broader econometrics discipline that deals with modeling situations involving spatially …

Using 70,822 observations on housing prices from 1969 to 1991 from Fairfax County
Virginia, this article demonstrates the substantial benefits obtained by modeling the spatial …

Real estate has historically employed statistical tools designed for independent
observations while simultaneously noting the violation of these assumptions in the form of …

This paper compares alternative methods of controlling for the spatial dependence of house
prices in a mass appraisal context. Explicit modeling of the error structure is characterized as …

Spatial econometrics is concerned with models for dependent observations indexed by
points in a metric space or nodes in a graph. The key idea is that a set of locations can …