1. Ecosystem heterogeneity has been widely recognized as a key ecological indicator of several ecological functions, diversity patterns and change, metapopulation dynamics, population connectivity or gene flow.
2. In this paper, we present a new R package—rasterdiv—to calculate heterogeneity indices based on remotely sensed data. We also provide an ecological application at the landscape scale and demonstrate its power in revealing potentially hidden heterogeneity patterns.
3. The rasterdiv package allows calculating multiple indices, robustly rooted in Information Theory, and based on reproducible open-source algorithms.

中文翻译：

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rasterdiv——一个信息理论定制的 R 包，用于从空间测量生态系统异质性：到起源和回归

1. 生态系统异质性已被广泛认为是几种生态功能、多样性模式和变化、复合种群动态、种群连通性或基因流动的关键生态指标。
2. 在本文中，我们提出了一个新的 R包——rasterdiv——来计算基于遥感数据的异质性指数。我们还提供了景观尺度的生态应用，并展示了其在揭示潜在隐藏的异质性模式方面的能力。
3. 所述rasterdiv包允许计算多个指数，鲁棒地扎根在信息理论，并根据再现的开源算法。