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地理差异r包:用于计算梯度表面指标的工具。

The geodiv r package: Tools for calculating gradient surface metrics.

作者信息

Smith Annie C, Dahlin Kyla M, Record Sydne, Costanza Jennifer K, Wilson Adam M, Zarnetske Phoebe L

机构信息

Department of Integrative Biology Michigan State University East Lansing MI USA.

Ecology, Evolution, and Behavior Program Michigan State University East Lansing MI USA.

出版信息

Methods Ecol Evol. 2021 Nov;12(11):2094-2100. doi: 10.1111/2041-210X.13677. Epub 2021 Aug 2.

DOI:10.1111/2041-210X.13677
PMID:35874973
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9292368/
Abstract

The geodiv r package calculates gradient surface metrics from imagery and other gridded datasets to provide continuous measures of landscape heterogeneity for landscape pattern analysis. geodiv is the first open-source, command line toolbox for calculating many gradient surface metrics and easily integrates parallel computing for applications with large images or rasters (e.g. remotely sensed data). All functions may be applied either globally to derive a single metric for an entire image or locally to create a texture image over moving windows of a user-defined extent.We present a comprehensive description of the functions available through geodiv. A supplemental vignette provides an example application of geodiv to the fields of landscape ecology and biogeography. geodiv allows users to easily retrieve estimates of spatial heterogeneity for a variety of purposes, enhancing our understanding of how environmental structure influences ecosystem processes. The package works with any continuous imagery and may be widely applied in many fields where estimates of surface complexity are useful.

摘要

geodiv R包可从图像和其他网格化数据集中计算梯度表面度量,以提供用于景观格局分析的景观异质性连续度量。geodiv是第一个用于计算多种梯度表面度量的开源命令行工具箱,并且能轻松集成并行计算,以用于处理大型图像或栅格数据(如遥感数据)的应用程序。所有函数既可以全局应用,为整个图像得出单个度量,也可以局部应用,在用户定义范围的移动窗口上创建纹理图像。我们全面描述了通过geodiv可用的函数。一个补充 vignette 提供了geodiv在景观生态学和生物地理学领域的示例应用。geodiv允许用户轻松检索用于各种目的的空间异质性估计值,增进我们对环境结构如何影响生态系统过程的理解。该软件包适用于任何连续图像,可广泛应用于许多需要表面复杂性估计值的领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f80/9292368/38ecfb759fdf/MEE3-12-2094-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f80/9292368/38ecfb759fdf/MEE3-12-2094-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f80/9292368/38ecfb759fdf/MEE3-12-2094-g001.jpg

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本文引用的文献

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Scale-dependent complementarity of climatic velocity and environmental diversity for identifying priority areas for conservation under climate change.气候变化下,基于气候速度和环境多样性的尺度互补性,确定优先保护区域。
Glob Chang Biol. 2017 Nov;23(11):4508-4520. doi: 10.1111/gcb.13679. Epub 2017 Mar 31.
2
Spectral diversity area relationships for assessing biodiversity in a wildland-agriculture matrix.用于评估野生-农业矩阵中生物多样性的光谱多样性区域关系。
Ecol Appl. 2016 Dec;26(8):2756-2766. doi: 10.1002/eap.1390. Epub 2016 Sep 30.
3
Spatial heterogeneity influences native and nonnative plant species richness.
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Ecology. 2006 Dec;87(12):3186-99. doi: 10.1890/0012-9658(2006)87[3186:shinan]2.0.co;2.