The paper proposes a new approach of anisotropy analysis of spatial distribution pattern of plant populations based on the data resampling technique combining Ripleys L index.
该文提出基于数据重采样技术并结合R ip ley s L指数进行种群格局各向异性分析的新思路,并在ArcV iew G IS技术平台上,对广东省黑石顶自然保护区针阔叶混交林中的马尾松Pinus massoniana种群分布格局的各向异性特征进行实例研究。
参考来源 - 种群分布格局的各向异性分析·2,447,543篇论文数据，部分数据来源于NoteExpress
种群格局信息维数能够刻划格局强度的尺度变化程度，揭示出种群个体分布的非均匀性状况。
The information dimension of population patterns quantifies the scale variation degree of pattern intensity, and discloses the unevenness of individual distribution.
种群格局关联维数是种群个体空间关联尺度变化规律的反映，表明了种群个体的空间相关程度。
Correlation dimension of population pattern could reflect not only the scaling variation properties of spatial correlation of individuals, but also the spatial occupation degree of population.
表明根据研究对象和研究目的选择合理的分布型指数，能够提供种群空间分布格局的多侧面信息。
Thus, according to research object and goal, choosing a reasonable distribution index can provide multi-factor information about the spatial pattern of the population.
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