然后根据少数几个标本采集点所在的基本单元，利用这些基本单元与其他单元的物种组成相似程度，可以预测出物种的可能分布范围。

According to localities of the units that few specimen records located, and their similarities to other units, we were able to predict the possible distribution of species.

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系统功能齐全，基本上满足了资源评价的各种需求，实现了预测单元划分的自动化和智能化。

The program system has perfect functions. These methods can satisfy various requirements of resources assessment, and realize automation and intellectualization of the prediction unit partition.

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该方法基本解决了预测单元多，已知条件少的成矿预测问题。

The problem of prognostication of mineral, with which there are many predicted cells but only a few known factors, is solved.

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