Sentence examples for using the randomized buffer from inspiring English sources

We found that resistance estimated using the randomized buffer did not differ from estimates using the real data, even when the composition of the real data was varied.

When we used the randomized buffer however, resistance estimates were not different than estimates using a buffer of real data for sites in either the inner (d = 0.13) or outer (d = 0.002) cores, as indicated by small effect sizes (Table 2).

Conversely, when we used the randomized buffer, effect sizes were small; resistance did not differ from the buffer with low-biased data for sites in the inner (d = 0.28) or outer (d = 0.37) cores (Table 2).

The dashed lines represent the result obtained using the randomized data (i.e., the timing of news arrival is randomized).

We repeat this exercise using the randomized data to confirm the statistical significance of the results.

Analysis of variance (ANOVA) was carried out using the randomized block design method.

As such, the randomized buffer that we used was more appropriate than a buffer based on satellite imagery because we could not infer habitat suitability for martens otherwise.

We tested the sensitivity of the randomized buffer to the possibility that the composition of the real but unknown buffer is biased toward high or low quality.

We addressed the sensitivity of the randomized buffer by biasing the real buffer data toward both high and low habitat quality.

We generated the randomized buffer by randomly assigning a habitat quality value between 1 and 3 to each grid cell in the buffer.

Even if the true habitat composition in the buffer was different than the core (i.e., biased toward low or high quality), using a randomized buffer that was proportional to the composition of the core introduced less bias than not using a buffer.