Sentence examples for computation of indicators from inspiring English sources

A frequent limitation to the practical use of the findings of landscape ecological studies is that they tend to focus on the identification and computation of indicators rather than on their interpretation and assessment.

This includes extracting data from spectrometers and storing of MIR spectra, standardizing spectra, complex computation of indicators and finally the implementation into routine milk-recording work flow (Soyeurt et al., 2012 b and 2012c; Gengler et al., 2013).

The core issues of the framework are as follows: Open image in new window Fig. 1 Framework for composite indicator computation Selection of indicators Selection of aggregation technique Selection of weighing method Aggregation process.

The third question, the extent to which patients should be followed up for the computation of mortality indicators, will be addressed by computing seven different mortality indicators which differ in the extension of the follow-up and the associated administrative burden.

The model for the computation of sociability indicators is reported in Section 3.

These time intervals should be ignored in the computation of these indicators to make them independent of the file size.

The DSS integrates a dynamic model for scenario simulations, the computation of several indicators for sustainability analysis and an optimization model for optimal resource allocation.

The method is based on the computation of spatial indicators using a Geographical Information System (GIS) to predict and quantify critical impacts, such as ecosystem loss and fragmentation, soil erosion, geomorphologic hazards, interference with flora and fauna, and visibility.

Forest fragmentation is assessed at the pixel level through computation of two indicators, i.e., P f (the ratio of pixels that are forested to the total non-water pixels in the window) and P ff (the proportion of all adjacent (cardinal directions only) pixel pairs that include at least one forest pixel, for which both pixels are forested).

The technique is based on the computation of local indicators of spatial association (LISA), for which the statistical significance for regional clustering can be tested by randomized permutations using a technique developed by Luc Anselin [27].

NCR database and SIMP have not been connected electronically so far and computation of certain indicators is therefore still impossible at present.