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Technical Note: Method to Streamline Processing of Livestock Global Positioning System Collar Data

机译:技术说明:用于简化牲畜全球定位系统项圈数据处理的方法

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The use of global positioning system (GPS) technology to study livestock movement has been widely adopted in range and animal sciences; however, the methods for processing GPS collar data are varied among researchers and often involve repetitive, time-consuming steps to get data into a format available to view in geographic information system (GIS) software. The objective of this technical note is to present a method for quickly processing uniform datasets using a commonly available commercial GPS collar and Program R. Data generated by a Lotek 3300LR GPS collar were processed in seconds using "LoteLfunction," which was developed using R coding. Traditional hand-processing of the same data generally requires 30 or more minutes and is prone to error due to the tedious, repetitive nature of the task. Due to the open-source nature of Program R, base codes can be modified to fit specific researchers' needs when incorporating GIS data layers or models to assess behavior based on motion sensor data output from collars. (C) 2019 The Society for Range Management. Published by Elsevier Inc. All rights reserved.
机译:使用全球定位系统(GPS)技术研究畜牧业运动已广泛采用范围和动物科学;然而,在研究人员之间处理GPS环形数据的方法,并且通常涉及重复,耗时的步骤将数据变为可用于在地理信息系统(GIS)软件中的格式。本技术说明的目的是提供一种使用普通可用的商业GPS项圈快速处理均匀数据集的方法,并且通过使用R编码开发的“LotelFunction”以秒为单位处理由LoteK 3300LR GPS套环产生的数据。相同数据的传统手动处理通常需要30分钟或更长时间,并且由于任务的繁琐,重复性的性质而易于错误。由于程序R的开源性质,可以修改基本代码以适应特定的研究人员在结合GIS数据层或模型时基于从套环输出的运动传感器数据评估行为。 (c)2019年系列管理协会。由elsevier Inc.保留所有权利发布。

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