Psychometric approaches to measuring sense-of-place variables have focused primarily on the strength of association between individuals and some researcher-defined spatial object. Environmental psychology also has a long tradition of mapping spatial settings and developing methods in natural resource management for measuring the spatial component of sense of place. Our work describes these methods and integrates them with an atittudinal approach that captures individual-level spatial variation and its meaning. We present and demonstrate a complementary data-analysis approach that uses structural equation modelling to integrate the spatial and physical features of places with attitude and behavioural variables. We identify relationships between variables coded from mapping data and attitudes, and demonstrate that this type of spatial data can be modelled using structural equation techniques.
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