Reviews of books

Historical Archaeology -     

Anticipating the Next Half‐Century of Geographical Analysis

Prompted by a series of panel sessions at a recent American Association of Geographers annual meeting entitled “A Globe‐Shaped Crystal Ball: The Next Fifty Years of Geographical Analysis,” participants were asked to speculate on the future of the journal, which of course has broader implications for spatial and geographic analytics. In what follows, I provide my thoughts on the journal as a reader, contributor, referee, and former editor of Geographical Analysis. The major points touched upon include the following. First, application to address substantive concerns will come to dominate the field. Second, the spatial data deluge will continue unabated, but will lead to important advances because of better detail and less abstraction of reality. Third, analytical methods will evolve specifically for big data. Fourth, the point‐and‐click revolution will result in ever more use of spatial analytics, but also will lend itself to greater and more widespread abuse of these methods. Fifth, addressing assumptions and theoretical foundations of long utilized approaches will revolutionize a new generation of spatial analytics. Sixth, geographic uncertainty and bias will be more than an afterthought, and methods will emerge to support meaningful analysis. Finally, spatial optimization will have increased prominence in fundamental analysis, particularly associated with establishing and evaluating significance.     

Using television: Programme content and need gratification

It is shown that audience members actively select amongst available programmes on television. This selection is based upon the social role and situational characteristics of the viewer and it is also directly related to the reasons given by viewers for watching television.

Patterns of programme selection are related to three clusters of needs and reasons. The two most important of these are composed of needs relating to information and diversion. The least important cluster is concerned with the self and social contact.

Escape and diversion needs are satisfied by almost any programme; selection is minimal by those viewers expressing these needs. Information needs are best satisfied by news and other informational programmes, while social and self needs are best satisfied by quiz and variety programmes, popular drama and movies.     

Evolving Location Analytics for Service Coverage Modeling

Among the wide range of geographic analysis methods are service coverage models. These location analytic approaches have been invaluable for better understanding existing (and past) conditions, deriving creative plans, and developing policy for addressing associated societal problems. Increasingly sophisticated spatial information and better knowledge about interrelated mechanisms of process and behavior have made it possible to enhance coverage models, enabling more nuanced formalizations to be devised. This has proven both important and essential in many ways. Mathematical details associated with service coverage models are derived to highlight evolving capabilities. Empirical results are presented in order to illustrate the significance and substantive importance of advanced location analytics capabilities.