Jag. Cooper et S. Mclaughlin, CONTEMPORARY MULTIDISCIPLINARY APPROACHES TO COASTAL CLASSIFICATION AND ENVIRONMENTAL RISK ANALYSIS, Journal of coastal research, 14(2), 1998, pp. 512-524
Coastal classification or typology based on multidisciplinary data and
multivariate analysis has recently emerged as a tool in coastal manag
ement. In this paper, eighteen published accounts of coastal classific
ation procedures are reviewed in order to determine the reasons for su
ch an increase, the variability between different approaches and the u
tility of each approach. The increase in use of such approaches to coa
stal classification may be linked to technological advances and widesp
read use of Geographic Information Systems (GIS). The main differences
identified between the indices are in terms of scale of application,
variables included, mode of analysis, mode of presentation and the nat
ure of the risks being assessed. While many authors drew attention to
limitations imposed by lack of availability of data, in general it was
concluded that few indices adequately considered the physical basis f
or interaction between variables used in the classification procedure.
In particular, while most indices recognise the need for socio-econom
ic data, few were able to adequately incorporate such information. Tho
se indices with the highest utility in risk assessment are considered
to be those in which (a) the nature of potential perturbation and (b)
the issues of management concern were clearly defined. Those in which
neither is adequately defined are likely to be of use mainly as databa
ses. A potential stepwise approach to development of specific coastal
classification indices is outlined in which user needs and interrelati
onships between variables are examined in the planning stage. We recom
mend development of a GIS-based hierarchy of coastal classifications o
n varying spatial scales in which resolution may be adapted and variab
les combined differently according to specific aspects of management c
oncern at different spatial management levels.