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Directional Variation in Distance Decay

Author

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  • A S Fotheringham

    (Department of Geography, University of Newcastle, Newcastle upon Tyne NE1 7RU, England)

  • T C Pitts

    (Department of Geography, Government and History, Morehead State University, KY, USA)

Abstract

Given that geographers excel at measuring and explaining spatial variations in attributes, it is surprising that they are not more aware that relationships may vary over space. It is still normal practice, for example, to estimate a set of parameters in a model and to assume that the relationships represented by these values apply equally to all locations and in all directions. Recently, however, there have been several applications of Casetti's expansion method that have been focused on measuring anisotropic trends around locations. Here this technique is used to examine possible anisotropy in distance-decay relationships around origins. That is, the authors attempt to answer the question: does the rate of distance decay vary with direction? The conclusions reached in previous research on this topic are only partially supported here. Via US migration data, it is suggested that although there is evidence of directional variation in distance decay around some origins, and this evidence leads to some interesting insights into the mental representation of space by US migrants, it is impossible to identify any overall trend across origins in directional variability.

Suggested Citation

  • A S Fotheringham & T C Pitts, 1995. "Directional Variation in Distance Decay," Environment and Planning A, , vol. 27(5), pages 715-729, May.
    • Handle: RePEc:sae:envira:v:27:y:1995:i:5:p:715-729
    DOI: 10.1068/a270715
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    1. repec:ibn:ijspnl:v:8:y:2019:i:4:p:32 is not listed on IDEAS
    2. Балаш О. С., 2014. "Пространственное Моделирование Темпов Роста Численности Населения Городов России," Izvestiya of Saratov University. New Series. Series: Economics. Management. Law Известия Саратовского университета. Новая серия. Серия Экономика. Управление. Право, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Саратовский национальный исследовательский государственный университет имени Н. Г. Чернышевского», vol. 14(1-1), pages 80-86.
    3. Daniele Mantegazzi & Philip McCann & Viktor Venhorst, 2020. "The impact of language borders on the spatial decay of agglomeration and competition spillovers," Journal of Regional Science, Wiley Blackwell, vol. 60(3), pages 558-577, June.
    4. Sifriyani Sifriyani, 2019. "Simultaneous Hypothesis Testing of Multivariable Nonparametric Spline Regression in the GWR Model," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 8(4), pages 32-46, July.

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