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ctmmweb: A Graphical User Interface for Autocorrelation‐Informed Home Range Estimation
Wildlife Society Bulletin ( IF 0.9 ) Pub Date : 2021-02-12 , DOI: 10.1002/wsb.1154
Justin M. Calabrese 1 , Christen H. Fleming 2 , Michael J. Noonan 3 , Xianghui Dong 4
Affiliation  

Estimating animal home ranges is a primary purpose of collecting tracking data. Many widely used home range estimators, including conventional kernel density estimators, assume independently‐sampled data. In stark contrast, modern animal tracking datasets are almost always strongly autocorrelated. The incongruence between estimator assumptions and empirical reality often leads to systematically underestimated home ranges. Autocorrelated kernel density estimation (AKDE) directly models the observed autocorrelation structure of tracking data during home range estimation, and has been shown to perform accurately across a broad range of tracking datasets. However, compared to conventional estimators, AKDE requires additional modeling steps and has heretofore only been accessible via the command‐line ctmm R package. Here, we introduce ctmmweb, which provides a point‐and‐click graphical interface to ctmm and streamlines AKDE, its prerequisite autocorrelation modeling steps, and a number of additional movement analyses. We demonstrate ctmmweb's capabilities, including AKDE home range estimation and subsequent home range overlap analysis, on a dataset of four jaguars from the Brazilian Pantanal tracked between 2013 and 2015. We intend ctmmweb to open AKDE and related autocorrelation‐explicit analyses to a wider audience of wildlife and conservation professionals. © 2021 The Authors. Wildlife Society Bulletin published by Wiley Periodicals LLC on behalf of The Wildlife Society.

中文翻译:

ctmmweb:图形化用户界面,用于自相关通知的范围估计

估计动物的栖息地范围是收集跟踪数据的主要目的。许多广泛使用的家庭范围估计器,包括常规的内核密度估计器,都采用独立采样的数据。与之形成鲜明对比的是,现代动物跟踪数据集几乎总是高度自相关的。估计量假设与经验现实之间的不一致通常会导致系统地低估房屋范围。自相关核密度估计(AKDE)直接在原始范围估计期间对观察到的跟踪数据的自相关结构进行建模,并且已证明在广泛的跟踪数据集中可以准确执行。但是,与常规估计器相比,AKDE需要额外的建模步骤,并且迄今为止只能通过命令行ctmm R程序包进行访问。在这里,我们介绍ctmmweb,它提供了指向ctmm的点击式图形界面,并简化了AKDE,其先决条件自相关建模步骤以及许多其他运动分析。我们在2013年至2015年之间跟踪的来自巴西潘塔纳尔群岛的四只美洲虎的数据集中展示了ctmmweb的功能,包括AKDE主范围估计和后续的主范围重叠分析。我们打算ctmmweb向更多的受众开放AKDE和相关的自相关显式分析。野生动植物和保护专业人士。©2021作者。根据2013年至2015年追踪的来自巴西潘塔纳尔湿地的四只美洲虎的数据集。我们打算ctmmweb将AKDE和相关的自相关-显式分析开放给更多的野生动植物和保护专业人员。©2021作者。根据2013年至2015年追踪的来自巴西潘塔纳尔湿地的四只美洲虎的数据集。我们打算ctmmweb将AKDE和相关的自相关-显式分析开放给更多的野生动植物和保护专业人员。©2021作者。Wiley Periodicals LLC代表“野生动物协会”发布的“野生动物协会公告”。
更新日期:2021-03-31
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