Fig. 2.

Explanation of the cross-correlation matrices (CCM’s). In cross-correlation matrices, the correlation between the time series of a response variable (mosquito counts from traps in this case) and a time series of the average (or cumulative in the case of precipitation) value for a given period (= lag1 – lag2) at a given lag of an explanatory variable (a weather parameter in this case) is displayed for all possible combinations of periods and lags. Lags are expressed in weeks in line with the used data. When lags are the same, it means only that week is used for calculating a correlation