scholarly journals Choosing Sampling Interval Durations for Remotely Classifying Rocky Mountain Elk Behavior

2016 ◽  
Vol 7 (1) ◽  
pp. 213-221 ◽  
Author(s):  
Adam J. Gaylord ◽  
Dana M. Sanchez ◽  
John Van Sickle

Abstract Dual-axis accelerometer global positioning system collars can be used to remotely record the activity level and behavior of free-ranging animals, but inter- and intraspecific variations in motion among behaviors necessitate calibration for each species of interest. To date, little work has been done to determine the best duration for sampling intervals when using activity monitors that incorporate dual-axis accelerometers. However, we expected that the duration of behaviors relative to the duration of sampling intervals could affect the accuracy of calibration and behavior classification models. Furthermore, we considered the potential effect of winter diet supplementation (hay) on behavior classification. We used Lotek 4500 global positioning system collars featuring dual-axis accelerometer activity monitors to collect data for calibration and classification trials on Rocky Mountain elk Cervus elaphus nelsoni. We used discriminant function model structures to determine the number of accurately classifiable behaviors that could be derived from data sampled over three sampling interval durations (5 min, 152 s, and 64 s) while also considering the potential effect of hay supplementation on classification. Our results suggest that investigators should ascertain whether their focal elk herd accesses or might access supplemental hay before deployment and analysis of activity sensor data. Similarly, researchers must weigh priorities when choosing a sampling interval, because no optimal solution emerged from our investigation. For example, of our acceptable models, only those constructed using 64-s intervals were able to distinguish short bouts of running. However, only models constructed with 5-min intervals accurately classified browsing while also maximizing the number of behaviors identified.

2014 ◽  
Vol 5 (2) ◽  
pp. 372-379 ◽  
Author(s):  
Adam J. Gaylord ◽  
Dana M. Sanchez

Abstract Direct behavioral observations of multiple free-ranging animals over long periods of time and large geographic areas is prohibitively difficult. However, recent improvements in technology, such as Global Positioning System (GPS) collars equipped with motion-sensitive activity monitors, create the potential to remotely monitor animal behavior. Accelerometer-equipped activity monitors quantify animal motion with different amounts of movement presumably corresponding to different animal activities. Variations in motion among species and differences in collar design necessitate calibration for each collar and species of interest. We paired activity monitor data collected using Lotek GPS_4400 collars worn by captive Rocky Mountain elk Cervus elaphus nelsoni with simultaneously collected behavior observations. During our initial data screening, we observed many sampling intervals of directly observed behavior that did not pair to activity monitor data in a logical fashion. For example, intervals containing behaviors associated with little or no motion sometimes aligned with relatively high activity monitor values. These misalignments, due to errors associated with collar timekeeping mechanisms, would likely result in inaccurate classification models. We corrected timing errors by using defined breaks in animal behavior to shift times given by collar output, improving the average correct classification rate 61.7 percentage points for specific behaviors. Furthermore, timing errors were significantly reduced by increasing the GPS fix rate, by using a sampling interval divisible by 8 seconds, and by accurately timing the initial collar activation. Awareness and management of collar timing error will enable users to obtain the best possible estimates of true behavior when calibrating these collars and interpreting data from free-ranging animals.


2019 ◽  
Vol 5 (1) ◽  
pp. e000613 ◽  
Author(s):  
John J Davis IV ◽  
Allison H Gruber

The very term ‘running-related overuse injury’ implies the importance of ‘use’, or exposure, to running. Risk factors for running-related injury can be better understood when exposure to running is quantified using either external or internal training loads. The advent of objective methods for quantifying exposure to running, such as global positioning system watches, smartphones, commercial activity monitors and research-grade wearable sensors, make it possible for researchers, coaches and clinicians to track exposure to running with unprecedented detail. This viewpoint discusses practical issues surrounding the use and analysis of data from such devices, including how wearable devices can be used to assess both internal and external training loads. We advocate for an integrative approach where data from multiple sources are used in combination to directly measure exposure to running in diverse settings.


2019 ◽  
Vol 13 (2) ◽  
pp. 115-124
Author(s):  
Andri Ruliansyah ◽  
Wawan Ridwan ◽  
Asep Jajang Kusnandar

Abstract The environment is an important factor in transmitting vector-borne diseases where an environment is a place of interaction between hosts, agents, and vectors. The existence of mosquitoes as a vector of various types of diseases is influenced by the existence of mosquito breeding habitats in an area. The results of mapping can be a guide to finding larva habitat when carrying out vector control. In addition, there is no map of larva habitat in Cibalong Subdistrict, Garut Regency so that mapping of breeding sites and behavior of mosquitoes becomes very important. The purpose of this study was to map the mosquito larval habitats in Cibalong District, Garut regency. Data collection was done by plotting habitats using Global Positioning System (GPS) and larva identifications using a compound microscope. Habitat larvae found in Karangparanje, Karyasari Village and Sakambangan, Mekarwangi Village, dominated by rice fields and water streams. While larvae found were Culex sp, Anopheles sp, Aedes sp, and Malaya sp. This finding confirmed that  Cibalong District receptive as a transmitting area of ​​Malaria, DHF, and Filaria, so it is necessary to be aware of the possibility of transmission of vector-borne diseases in those areas. Abstrak Lingkungan merupakan faktor penting dalam penularan penyakit tular vektor di mana lingkungan merupakan tempat berinteraksi antara host , agen dan vektor. Keberadaan nyamuk sebagai vektor berbagai macam penyakit dipengaruhi oleh keberadaan habitat perkembangbiakan nyamuk di suatu wilayah. Hasil suatu pemetaan dapat menjadi panduan untuk menemukan habitat jentik pada saat melakukan pengendalian vektor. Selain itu belum adanya suatu peta habitat jentik di Kecamatan Cibalong Kabupaten Garut sehingga pemetaan tempat perkembangbiakan dan perilaku nyamuk menjadi sangat penting. Tujuan kajian ini untuk memetakan habitat jentik nyamuk di Kecamatan Cibalong  Kabupaten Garut. Pengumpulan data dilakukan dengan membuat titik (plotting)  habitat dengan menggunakan Global Positioning System (GPS) dan identifikasi jentik menggunakan mikroskop binokuler. Habitat jentik yang ditemukan di  Dusun Karangparanje Desa Karyasari dan Dusun Sakambangan Desa Mekarwangi, didominasi oleh sawah dan aliran sungai. Sedangkan jentik yang ditemukan yaitu Culex sp, Anopheles sp, Aedes sp dan Malaya sp. Hal ini menjadikan Kecamatan Cibalong reseptif sebagai daerah penular malaria, DBD, dan filaria, sehingga perlu diwaspadai kemungkinan terjadinya penularan penyakit tular vektor di wilayah tersebut.


2012 ◽  
Vol 125 (4) ◽  
pp. 353 ◽  
Author(s):  
L. David Mech

Global Positioning System (GPS) radio-collars are increasingly used to estimate Gray Wolf (Canis lupus) kill rates. In interpreting results from this technology, researchers make various assumptions about wolf behavior around kills, yet no detailed description of this behavior has been published. This article describes the behavior of six wolves in an area of constant daylight during 30 hours, from when the pack killed a Muskox (Ovibos moschatus) calf and yearling on Ellesmere Island, Nunavut, Canada, to when they abandoned the kill remains. Although this is only a single incident, it demonstrates one possible scenario of pack behavior around a kill. Combined with the literature, this observation supports placing a radio-collar on the breeding male to maximize finding kills via GPS collars and qualifying results depending on whatever other information is available about the collared wolf’s pack.


INTI TALAFA ◽  
2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Yaman Khaeruzzaman

Seiring dengan pesatnya kemajuan teknologi saat ini, kebutuhan manusia menjadi lebih beragam, termasuk kebutuhan akan informasi. Tidak hanya media informasinya yang semakin beragam, jenis informasi yang dibutuhkan juga semakin beragam, salah satunya adalah kebutuhan informasi akan posisi kita terhadap lingkungan sekitar. Untuk memenuhi kebutuhan itu sebuah sistem pemosisi diciptakan. Sistem pemosisi yang banyak digunakan saat ini cenderung berfokus pada lingkup ruang yang besar (global) padahal, dalam lingkup ruang yang lebih kecil (lokal) sebuah sistem pemosisi juga diperlukan, seperti di ruang-ruang terbuka umum (taman atau kebun), ataupun dalam sebuah bangunan. Sistem pemosisi lokal yang ada saat ini sering kali membutuhkan infrastruktur yang mahal dalam pembangunannya. Aplikasi Pemosisi Lokal Berbasis Android dengan Menggunakan GPS ini adalah sebuah aplikasi yang dibangun untuk memenuhi kebutuhan pengguna akan informasi lokasi dan posisi mereka terhadap lingkungan di sekitarnya dalam lingkup ruang yang lebih kecil (lokal) dengan memanfaatkan perangkat GPS (Global Positioning System) yang telah tertanam dalam perangkat smartphone Android agar infrastruktur yang dibutuhkan lebih efisien. Dalam implementasinya, Aplikasi Pemosisi Lokal ini bertindak sebagai klien dengan dukungan sebuah Database Server yang berfungsi sebagai media penyimpanan data serta sumber referensi informasi yang dapat diakses melalui jaringan internet sehingga tercipta sebuah sistem yang terintegrasi secara global. Kata kunci: aplikasi, informasi, pemosisi, GPS.


Author(s):  
Violet Bassey Eneyo

This paper examines the distribution of hospitality services in Uyo Urban, Nigeria. GIS method was the primary tool used for data collection. A global positioning system (GPS) Garmin 60 model was used in tracking the location of 102 hospitality services in the study area. One hypothesis was stated and tested using the nearest neighbour analysis. The finding shows evidence of clustering of the various hospitality services. The tested hypothesis further indicated that hospitality services clustered in areas that guarantee a sustainable level of patronage to maximize profit. Thus, the hospitality services clustered in selected streets in the metropolis while limited numbers were found outside the city’s central area.


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