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    • Rangeland Ecology & Management, Volume 72 (2019)
    • Rangeland Ecology & Management, Volume 72, Number 4 (July 2019)
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    Technical Note: Method to Streamline Processing of Livestock Global Positioning System Collar Data

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    Author
    Brennan, J.
    Johnson, P.
    Olson, K.
    Issue Date
    2019-07
    
    Metadata
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    Citation
    Jameson Brennan, Patricia Johnson, and Kenneth Olson "Technical Note: Method to Streamline Processing of Livestock Global Positioning System Collar Data," Rangeland Ecology and Management 72(4), 615-618, (2 July 2019). https://doi.org/10.1016/j.rama.2019.03.003
    Publisher
    Elsevier Inc.
    Journal
    Rangeland Ecology & Management
    URI
    http://hdl.handle.net/10150/675947
    DOI
    10.1016/j.rama.2019.03.003
    Additional Links
    https://rangelands.org/
    Abstract
    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 “Lotek_Function,” 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. © 2019 The Society for Range Management
    Type
    Article
    text
    Language
    en
    ISSN
    1550-7424
    EISSN
    1551-5028
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.rama.2019.03.003
    Scopus Count
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    Rangeland Ecology & Management, Volume 72, Number 4 (July 2019)

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