Spatial modelling and landscape-level approaches for visualizing intra-specific variation.
Spatial modelling and landscape-level approaches for visualizing intra-specific variation.
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用于可视化特定内部变化的空间建模和景观水平方法。
DOI：
10.1111/j.1365-294x.2010.04737.x
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发表时间：
2010
影响因子：
4.9
通讯作者：
Smith,ThomasB
中科院分区：
文献类型：
--
作者：
Thomassen,HenriA;Cheviron,ZacharyA;Freedman,AdamH;Harrigan,RyanJ;Wayne,RobertK;Smith,ThomasB
空间分析方法已经被生物学家使用了几十年，但随着新的建模方法和数据可用性的出现，它们的应用正在加速。虽然早期的方法纯粹是空间性质的，但现在有可能利用大量的环境数据，特别是卫星遥感数据，探索生物变异的空间异质性的根本原因。最近的方法不仅可以对空间关系和空间异质性的原因进行推断，而且还可以在不断变化的环境条件下创建生物变异模式的预测图。在这里，我们回顾了使用空间和环境预测变量从生物变异中进行连续空间预测的方法，提供了它们的使用示例，并严格评估了其优点和局限性。在最后一节中，我们讨论了未来工作的一些关键挑战和机遇。
Spatial analytical methods have been used by biologists for decades, but with new modelling approaches and data availability their application is accelerating. While early approaches were purely spatial in nature, it is now possible to explore the underlying causes of spatial heterogeneity of biological variation using a wealth of environmental data, especially from satellite remote sensing. Recent methods can not only make inferences regarding spatial relationships and the causes of spatial heterogeneity, but also create predictive maps of patterns of biological variation under changing environmental conditions. Here, we review the methods involved in making continuous spatial predictions from biological variation using spatial and environmental predictor variables, provide examples of their use and critically evaluate the advantages and limitations. In the final section, we discuss some of the key challenges and opportunities for future work.