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Structural Spatial Interaction∗

The Professional Geographer, 1993
This paper identifies a concept of structural spatial interaction. Although it is defined differently from its counterpart of structural unemployment in economics, it attempts to define a similar idea. In economics, the focus is on equilibrium in the supply and demand of labor.
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Spatial covariance structure

2004
For any component in time series analysis (Natke 1983), the concept of covariance between components of a spatially distributed random vector Z(u) leads to: direct covariances, Cov[Zi(u),Zj(u)]; shifted covariances or spatial covariances, Cov [Zi(u), Zj-(u+ h)], also known as cross-covariance functions; and autocovariance functions, Cov[Zi(u),Zi(u + h)]
Vera Pawlowsky-Glahn, Richardo A. Olea
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Spatial Structure and Spatial Interaction: A Simulation Approach

Environment and Planning A: Economy and Space, 1991
In this paper, variations in the impedance parameter of the conventional spatial interaction models are examined in a quasi-empirical manner. In a previous paper, a spatial demand model based on the translog indirect utility function was simulated to provide interaction data.
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Spatial Structure and Spatial-Temporal Processes

1983
There are many ways of describing pattern and testing for structure in spatial data. The best known statistics have been discussed, together with a summary of earlier contributions and important extensions, in two books by Cliff and Ord (1973, 1981). The first of these was concerned largely with various indices for testing for significant structure in ...
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Spatially Structured Communities

2018
Biodiversity is the variety of life. It is fundamental to all aspects of ecology and conservation biology. Biodiversity can be measured at different levels of organization and at different scales. Here, we provide an overview of how space influences biological communities, why space is important for biodiversity conservation, and we illustrate some ...
Robert J. Fletcher, Marie-Josée Fortin
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Modelling Spatial Structures

2015
Data is spatial if it contains references to space. We can easily detect explicit references, for example coordinates, but we cannot detect whether data implicitly contains references to space, and whether it has properties of spatial data, if additional semantic information is missing.
Franz-Benjamin Mocnik, Andrew U. Frank
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Analysing Spatial Structures

2018
In many cases, multivariate data are collected for entities that are geographically located (i.e., georeferenced). This chapter describes several techniques to incorporate the spatial information in multivariate methods using packages sp, spdep and adespatial.
Jean Thioulouse   +5 more
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Spatial Structural Change

SSRN Electronic Journal, 2022
Fabian Eckert, Michael Peters
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Urban Spatial Structure

1979
A great deal of urban economics is not geographical; it is concerned with the production and allocation of urban ‘goods’, such as housing, without being primarily concerned with their location. But some of the most acute problems of cities are concentrated in particular areas or are linked with the location of residences and workplaces.
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