论文标题
使用ICVECTORFIELDS包中数字图像相关的新颖实现来量化人口运动
Quantifying Population Movement Using a Novel Implementation of Digital Image Correlation in the ICvectorfields package
论文作者
论文摘要
图像中的动作吸引了人的眼睛和想象力。他们对研究时空动态的各种科学学科也感兴趣。量化图像运动的流行方法包括粒子图像速度法和数字图像相关性。两种方法都广泛应用于工程和材料科学，但在其他学科中的应用较少。本文介绍了R开源软件中基本的数字图像相关算法的实现，以及旨在量化三个或更多图像序列的持续运动速度的扩展。算法应用于景观生态的新领域，以量化种群运动并产生矢量场，以方便可视化跨空间的复杂运动模式。 Icvectorfields软件包中提供了促进分析的功能。这些方法和功能可能在理论和景观生态学中产生新的见解，因为它们促进了在复杂和异构环境中的理论和观察数据的可视化和比较。
Movements in imagery captivate the human eye and imagination. They are also of interest in variety of scientific disciplines that study spatiotemporal dynamics. Popular methods for quantifying movement in imagery include particle image velocimetry and digital image correlation. Both methods are widely applied in engineering and materials science, but less applied in other disciplines. This paper describes an implementation of a basic digital image correlation algorithm in R open source software as well as an extension designed to quantify persistent movement velocities in sequences of three or more images. Algorithms are applied in the novel arena of landscape ecology to quantify population movement and to produce vector fields for easy visualization of complex movement patterns across space. Functions to facilitate analyses are available in the ICvectorfields software package. These methods and functions are likely to produce novel insights in theoretical and landscape ecology because they facilitate visualization and comparison of theoretical and observed data in complex and heterogeneous environments.
