http://www.selleckchem.com/products/PF-2341066.html 2 to obtain these maps. In order to compare these values with the poaceae pollen concentrations, we considered that an area showing a value between 1.5 and 2.5 corresponds to populations of Vulpia geniculata that are liberating pollen at its maximum (full flowering period), and so we can find out which areas contribute the most to pollen curve.3. Results3.1. Aerobiological SurveyUsing the data obtained in the aerobiological sampling, graphs showing pollen index accumulated per week have been elaborated for each year of study (Figure 2). The highest pollen concentration was recorded during year 2004 (Figure 2(a)), while the lowest was registered during year 2005 (Figure 2(b)). We also noticed that in year 2004 highest pollen concentration was recorded during last week of May, while in 2005 it occurred during last week of April.
Both phenomena could be explained by the precipitations registered in spring for the three years of study, since during year 2004 abundant precipitations were registered in April and May, while in year 2005 rainfall was scarce during those months, being this year one of the driest in the last 4 decades. In year 2006 intermediate pollen counts were obtained related to normal climatic characteristics of this year (Figure 2(c)).Figure 2Poaceae airborne pollen cumulated per week during the study years.3.2. Geostatistical AnalysisResults of descriptive statistical analysis are shown in Tables Tables2,2, ,33 and and4.4. It is observed that Variance is not significant among the different survey seasons. Results also indicated that no outliers were present in any of the datasets.
Table 2Results of Descriptive Analysis. Year 2004.Table 3Results of Descriptive Analysis. Year 2005.Table 4Results of Descriptive Analysis. Year 2006.Regarding to the structural analysis the variograms obtained for each dataset are shown in Figures Figures3,3, ,44 and and5.5. In all the analysed dates, it was possible to adjust a gaussian isotropic model to study spatial variance of phenological variable. Best results were obtained in year 2006 (Figure 5), due to RSS and r2 values were close to 0 and 1, respectively.Figure 3Cross-validation analyses (variograms) obtained for year 2004.Figure 4Cross-validation analyses (variograms) obtained for year 2005.Figure 5Cross-validation analyses (variograms) obtained for year 2006.Results of the cross-validation analysis are shown in Table 5.
The regression coefficient represents a measure of the goodness of fit for the model describing the lineal regression equation. In general we observe that regression coefficients were close to 1, which shows the goodness of the interpolation. In the cases where those coefficients are not that close, it has to be taken into consideration when proceeding Entinostat to evaluate the quality of the interpolation. Table 5Cross-validation summary results.All the maps obtained are shown in Figures Figures6,6, ,77 and and8.8.