INTRODUCTIONMortality is the data source most frequently used for geographical studies, coming as it does from a document -the death certificate- which is always issued and for which there is a common denominator: a formal set of coding protocols (International Classification of Diseases), applicable to all signatory countries. Furthermore, mortality-based information has proved to be adequately valid for the purposes of studies into cancer (2,3).
Cancer atlases provide graphic representation of the geographical distribution of diseases, and their underlying goal ranges from simple illustration to the generation of etiological hypotheses. Simultaneous examination of maps plotting different pathologies or comparison of these against theme-specific maps depicting other socio-health indicators, helps suggest possible explanations.
The message conveyed by these maps is straightforward: "cancer is more frequent in some areas than in others and, in theoretical terms, it is possible for mortality to be reduced to those levels prevailing in lower-risk areas" which may in turn act as a springboard for research hypotheses.
The precedent for the present project is the " Atlas of Cancer in Spain" Atlas del Cáncer de España.1975-77 (4,5)

The new Atlas seeks to update the previous edition and cover a wider period of time. This would contribute to greater stability in mortality indicators, with dynamic analysis making short-term forecasts feasible. Similarly, endeavours have been made to study all tumour sites and other causes of death, and thus overcome the limitations imposed by the brevity of the ICD lists. A further limitation placed on the previous version was the use of an indicator (SMR) which hindered interprovincial comparison. This has been solved by recourse todirect method adjustment and relative effect estimators (relative risk) which, apart from being comparable, retain the SMR qualities of intuitive interpretation.
Although this is essentially an Atlas of Cancer Mortality, it includes 18 rubrics which do not correspond to this pathology. There are two reasons for this: 1) to take into account the possible influence and distribution of competitive causes of death (6) (e.g., lung cancer versus myocardial infarction); and 2) to ascertain mortality distribution for other causes and large groups of pathologies.