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An example using an artificial map to investigate the effectiveness of the proposed model in mountainous terrain is also demonstrated.
Figure 4 demonstrates a typical tour (out of many) for an artificial map: The pickup and dropout points as well as the PoI and the depot are flagged.
Artificial map boundaries overestimate resistance values.
We were interested in characterizing the effects of artificial map boundaries on calculations of landscape resistance to movement, and testing a possible solution for biased resistance values.
The final reference map is an "artificial" map supposed to best represent the "standard" Musa genome.
The number of locations used in each artificial map or patch spread followed the distribution of the number of active regions and labeled patches in our source data.
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"Random100", "Random200", and "Random400" are datasets with 100, 200, and 400 artificial maps, respectively.
New sequencing technologies have facilitated cost-effective high-throughput SNP genotyping for natural and artificial mapping populations.
It is rather different from other artificial maps that have been used in the literature, such as the one designed by Thorndyke and Stasz (1980) with respect of two characteristics: the distinctive visual characteristics of the different landmarks and the irregular not grid-like nature of the map.
We modeled landscape resistance to animal movement using circuit theory [11], [19], and compared the output from maps with artificial boundaries, maps with a randomized buffer, and maps with a buffer of true landscape data.
Similar to the artificial whisking map, the normalized passive map also showed a tendency for coarser textures to map on the barrel perimeters.
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