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Geografiska Annaler: Series B, Human Geography, 1970
Industries are complex because many factors are involved in their operation. It is not possible to get information on all of these variables so that a study of industry is necessarily incomplete. Some of the factors may be distributed at random such as business acumen or personal caprice. If all the factors are randomly distributed or if those that are
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Industries are complex because many factors are involved in their operation. It is not possible to get information on all of these variables so that a study of industry is necessarily incomplete. Some of the factors may be distributed at random such as business acumen or personal caprice. If all the factors are randomly distributed or if those that are
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Neural Spatial Interaction Models
2001One of the major intellectual achievements and, at the same time, perhaps the most useful contribution of spatial analysis to social science literature has been the development of spatial interaction models. Spatial interaction can be broadly defined as movement of people, commodities, capital and/or information over geographical space (see Batten and ...
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Structural Spatial Interaction∗
The Professional Geographer, 1993This 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 Interaction and the Statistical Analysis of Lattice Systems
, 1974J. Besag
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Spatial Autocorrelation in Spatial Interaction
2009Carey (1858) and Ravenstein (1885) first proposed, through analogy, the gravity model of Newtonian physics as a description for economic and social spatial interaction, with Sen and Smith (1995) furnishing a comprehensive treatment of this model more than a century later.
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Annals of the Association of American Geographers, 1974
ABSTRACT The lack of good flow data is a handicap to spatial interaction researth, yet many published works provide little evaluation of such data. Good quality flow data should provide spatial coverage at a large scale with small sampling and other error components.
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ABSTRACT The lack of good flow data is a handicap to spatial interaction researth, yet many published works provide little evaluation of such data. Good quality flow data should provide spatial coverage at a large scale with small sampling and other error components.
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Visualizing spatial interaction characteristics with direction-based pattern maps
Journal of Vision, 2019Xin Yao +4 more
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