**5. Results**

As has been mentioned, the final aim of this research is to determine the level of adjustment between tourist supply and demand in the region of Extremadura, describing the distribution pattern of this region and identifying groupings of establishments in a similar situation. In order to do so it uses a sample consisting of a total of 270 tourist establishments, which in July 2015 provided their occupation data to the Extremadura Tourism Observatory. Given the di fferent data provided, it was decided to use two of the most representative variables with the aim of measuring tourist activities: on the one hand, the total number of beds o ffered by the various accommodation establishments during the period analysed, and on the other the average occupation level of each establishment (as an indicator of a satisfactory balance between the beds o ffered and those actually occupied).

Moreover, the study is carried out from a double perspective: on the one hand the existence of a global pattern of distribution of the variables being studied is contrasted and on the other the possible existence of local distribution patterns is examined. For the first objective we used the two most commonly used indexes, Moran's global I test and the Getis–Ord general G (d) statistic.

The results obtained for the first variable analysed, the number of beds available, can be seen in Figure 2.

As can be seen in graph 1, Moran's global I statistic takes a value of 0.0271, with the score *z* being equal to 1.7239, owing to which at a significance level of 10% we can a ffirm that a pattern exists of the concentration of the values of the variable in the space. It is therefore confirmed that there is a slight tendency towards the concentration of the beds available in the space studied.

For its part, the Getis–Ord general G (d) test gives a value of the statistic G of 0.0829, which gives a score *z* of 1.6091, owing to which we cannot reject the null hypothesis of the random distribution of the variable in the space at a confidence level of 95%. In other words, with the results obtained in this test we cannot a ffirm that the beds for tourists are not distributed at random in the space analysed.
