Sentence examples for low data availability from inspiring English sources

It was also demonstrated that there are several possible options to provide necessary inputs to the model so that even low data availability can produce useful results.

Conservation challenges are intensified in insular systems due to higher ecosystem vulnerability, limited spatial options, low data availability, rapid land-use change and, globally, short-term vision planning.

The approach has been developed for river basins with low data availability and differs from other approaches (Terrado et al. 2013) in the way that it allows a qualitative estimation of the EP.

However, also the authors of the UN REDD [7] study express their discomfort about the low data availability and state that their estimates "should be considered only as indications".

While ideally situations of low data availability would be addressed by increased sampling, this is not always possible due to economic, temporal or other constraints, and the shortage of high-quality species occurrence data requires the development of improved modelling frameworks, with targeted modifications to deal with specific problems (Lomba et al. 2010; Vicente et al. 2011).

This results from low data availability, dispersion or a lack of data.

The framework should lead to deeper insights, even in a low-data availability perspective, between what is regarded as good practices and a quantification of their potential; thus becoming a useful tool in the design and analysis of policies.

It builds, consequently, a very powerful tool for nature conservation assessment and for the ecological evaluation and the decision process in situations of low ecological data availability.

The collection of more samples to increase the accuracy of the estimation and application to areas of low statistical data availability are future steps.

To solve the issue of low RTK-Fix-GPS data availability, we used both RTK-Float-GPS, which has the accuracy of the order of a decimeter, and RTK-Fix-GPS data, which have accuracies to the order of a centimeter [30].

As shown in the above analysis, DB consistently achieves the best F1-score and recall performance, but has slightly worse mean breakpoint mismatch performance than that of CREST, even when the data availability is low (i.e., lower coverage levels).