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4.5 Knowledge gaps
As we mentioned in the introduction, not all the indicators could be described quantitatively. Data gaps indicate to researchers where more investigation should be carried out or where more information should be gathered. The following graphic shows the proportion of missing data considering the weight given to the different indicators by experts. On the 70 indicators selected, 18 were not available. Some indicators do not exist at the moment but will be available in a near future (e.g. calculations on future water availability), some need a more thoughtfully collection (e.g. past actions taken from the tourism sector in this direction, public participation actions in the region, media and communication on snow condition, current water storage capacity), for some this would be necessary but unfeasible (missing statistical data on e.g. guest nights/one day tourists ratio, job seasonality, average financial health of communes). Finally, some are difficult to quantify (possibility of self green energy development, landscape beauty). All of them, however, carry important information in defining vulnerability. Regrettably, data is missing mostly where more importance was given by experts. Considering the weights given to each indicator, 34% of adaptive capacity and 30% of sensitivity information is lacking. The missing data is lower for exposure (15%). In this category, only information on future water availability is not available. This information will however be soon available. Data gaps in the sensitivity category mainly concern the environment, the economy and the infrastructure, whereas in the adaptive capacity, only technological and institutional feasibility seem to be well depicted. Ongoing collection of the missing data, where possible and more needed - will allow us to decrease the data gap from the actual 48% to only 11% of the total.
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