Heritage is a very complex concept that is characterized by having multiple meanings. Despite this, there is no doubt as to its attraction for carrying out tourist activities. In the specific case of cultural heritage, there is widespread agreement in considering it as a tourist resource given the interest it raises amongst visitors of all origins. This is not, however, always the case and it can be observed that in certain areas, especially rural ones, certain limitations exist. They are caused by multiple factors such as the importance of the resource itself, although the distance to the main centers of tourist attraction is also considered a key point. Due to this, the study puts forward the need for joining forces and attractions in order to create tourist itineraries based on a peculiar kind of resource: Historical Ensembles. In order to achieve this aim, we used the network analysis tools included in a geographical information system and applied it to a rural context, which was that of Extremadura in Spain. To be precise, the closest facility and service area tools were used. The results of the various analyses reflect the real possibility of generating tourist itineraries as a first step in the design of tourist products. In this way, the administration can be provided with a management tool capable of laying the foundations of a coherent and efficient tourist policy.

There are multiple types of regression, the essential task of which is the obtaining of models which, starting from a set of regressive values, are capable of finding explanations for the variability of a dependent. However, in many cases, the territorial criterion is not considered to be a noteworthy factor of analysis, owing to which this deficiency has encouraged the arising of spatial statistics. Nevertheless, given the variety of regressions, it is not clear which can best be adapted to the analysis of tourism. In this sector, when the supply of accommodation is analysed, it is understood that it must be strongly related to the presence of resources, owing to which it has been taken as an example of an application between two differentiated regression techniques: ordinary least squares (OLS) and geographically weighted regression (GWR), with the objective of determining which of the two is best adapted to this type of analysis. The model has been drawn up based on various methods, although it has been shown that it is more efficient to resort to the declared preferences of the rural tourist, with the starting point being a survey made of the tourists. These aspects have been taken as independent variables with the aim of explaining the distribution of accommodation establishments. The results obtained show that the configuration of the spatial relations between the variable included in the model encourages the explanation of the latter, owing to which GWR is much more suitable than OLS, even when a system as complex as the distribution of accommodation establishments is analysed. Likewise, it is noteworthy that the distribution of accommodation does not also follow the guidelines marked by demand; far from it, it appears that in some areas, it is of a random nature.