Spatial diffusion and spatial statistics: revisting Hägerstrand’s study of innovation diffusion.
Journal article, Peer reviewed
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Original versionProcedia Environmental Sciences 2015, 27:106-111 10.1016/j.proenv.2015.07.103
Torsten Hägerstrand’s 1953 study of innovation diffusion  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?)  and (author?)  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.
-Copyright © 2015 Published by Elsevier B.V.
JournalProcedia Environmental Sciences
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