The aim of this paper is to present the progress that has been made in the study of the hillfort of V illasviej as del Tamuj a (Botij a, in the province of Cá ceres), based on a combination of non-destructive techniq ues. The possibility of cross-referencing the results obtained w ith different geophysical methods (magnetometry, georadar and electric tomography) raises the opportunity to formulate a reliable diagnosis on the spatial organiz ation of this site. The most relevant results are described, and their contribution to a general interpretation of the urban structure and morphology of domestic spaces is analyz ed. This information is contrasted w ith previously available ex cavation data and its framing is analysed w ithin the ex isting k now ledge on this type of settlements. In addition, elements of interest about the diachronic evolution of the site are added, w hich are relevant in relation to the hypotheses formulated about the impact of the R oman conq uest. U ltimately, the potential of this type of research strategy for the study and revaluation of large and complex archaeological z ones is considered.

Different geophysical methods applied at the settlement of Villasviejas del Tamuja (Botija, Spain) have identified robust anomalies located at the same position, but some anomalies are reflected by only one method. Furthermore, analysing the spatial correlation of these anomalies is of fundamental importance for obtaining a correct archaeological interpretation. In this work, we analysed the main results of electrical resistivity tomography (ERT), ground-penetrating radar (GPR) and magnetic gradiometry methods in a particular area of the archaeological site. In this analysis, we performed graphical and numerical spatial correlation analyses of the anomalies and observed strong agreement among the results provided by each method. Certain anomalies were reflected only in the magnetic and ERT studies. The results highlight the importance of applying several geophysical methods and performing spatial correlational analyses. Furthermore, the methodology that we have applied to evaluate the spatial correlation offers interesting results.

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