Spatial diffusion and spatial statistics: revisting Hägerstrand’s study of innovation diffusion.
Journal article, Peer reviewed

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Date
2015Metadata
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Abstract
Torsten Hägerstrand’s 1953 study of innovation diffusion [1] was pathbreaking in many ways. It was based on an
explicit micro-model of information spread, and on Monte Carlo simulation of the hypothesised spatial process. Using
the original aggregated data and Hope-type tests of the ability of the simulations to capture the observed adoptions,
(author?) [2] and (author?) [3] and others found problems. This study attempts to examine the extent to which we may
be able to "do better" with a range of approaches drawn from spatial statistics, including using a SAR lattice model,
geostatistical modelling, Moran eigenvectors, and other approaches.
Description
-Copyright © 2015 Published by Elsevier B.V.
Publisher
Elsevier B.VJournal
Procedia Environmental Sciences
Except where otherwise noted, this item's license is described as Navngivelse-Ikkekommersiell-IngenBearbeidelse 3.0 Norge
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