Characterising the spatial and temporal activities of free-ranging cows from GPS data

2012 ◽  
Vol 34 (2) ◽  
pp. 149 ◽  
Author(s):  
Dean M. Anderson ◽  
Craig Winters ◽  
Rick E. Estell ◽  
Ed L. Fredrickson ◽  
Marek Doniec ◽  
...  
Keyword(s):  
Landscape Management ◽  
Beef Cows ◽  
Gps Data ◽  
Activity Data ◽  
Temporal Behaviour ◽  
Global Positioning ◽  
Spatio Temporal ◽  
Gps Devices ◽  
Electronic Tracking ◽  
Free Ranging

Electronic tracking provides a unique way to document behaviour by cows on a continuous basis. Over 2 years 17 beef cows with calves were fitted with global positioning system (GPS) devices programmed to record uncorrected GPS locations at 1-s intervals in a semi-desert rangeland. Each cow was periodically observed during daylight hours and foraging, walking and stationary (standing/lying) activity times were recorded across days and individual cows to calculate a mean travel rate for each activity. Data without observers present were collected immediately preceding and following the abrupt weaning of calves at between 223 and 234 days of age to evaluate the potential of classifying various travel rates into foraging, walking and stationary activity. The three activities were further characterised within a 24-h period based on the sun’s angle with respect to the horizon. Only data from cows whose equipment acquired ≥ 90% of the potential GPS positional data among consecutive days were analysed. Due to problems with the equipment, data from two cows in 2009 and two cows in 2011 met these criteria. The interval evaluated consisted of four 24-h periods before abrupt weaning and seven 24-h periods following weaning. Results suggested that uncorrected 1-s positional GPS data are satisfactory to classify the behaviour by free-ranging beef cows into foraging, walking and stationary activities. Furthermore, abrupt weaning caused cows to change their spatial and temporal behaviour across and within days. Overall, travel by cows increased post-weaning with subtle within-day behavioural changes. Further research will be required to fully understand the biological importance of spatio-temporal behaviour to optimise cattle and landscape management goals.

scholarly journals Concurrent Measurement of Global Positioning System and Event-Based Physical Activity Data: A Methodological Framework for Integration

2020 ◽  
pp. 1-14
Author(s):  
Anna M.J. Iveson ◽  
Malcolm H. Granat ◽  
Brian M. Ellis ◽  
Philippa M. Dall
Keyword(s):  
Physical Activity ◽  
Outcome Measures ◽  
Global Positioning System ◽  
Gps Data ◽  
Positioning System ◽  
Activity Data ◽  
Data Set ◽  
Physical Activity Data ◽  
Global Positioning ◽  
Event Based

Objective: Global positioning system (GPS) data can add context to physical activity data and have previously been integrated with epoch-based physical activity data. The current study aimed to develop a framework for integrating GPS data and event-based physical activity data (suitable for assessing patterns of behavior). Methods: A convenience data set of concurrent GPS (AMOD) and physical activity (activPAL) data were collected from 69 adults. The GPS data were (semi)regularly sampled every 5 s. The physical activity data output was presented as walking events, which are continuous periods of walking with a time-stamped start time and duration (to nearest 0.1 s). The GPS outcome measures and the potential correspondence of their timing with walking events were identified and a framework was developed describing data integration for each combination of GPS outcome and walking event correspondence. Results: The GPS outcome measures were categorized as those deriving from a single GPS point (e.g., location) or from the difference between successive GPS points (e.g., distance), and could be categorical, scale, or rate outcomes. Walking events were categorized as having zero (13% of walking events, 3% of walking duration), or one or more (52% of walking events, 75% of walking duration) GPS points occurring during the event. Additionally, some walking events did not have GPS points suitably close to allow calculation of outcome measures (31% of walking events, 22% of walking duration). The framework required different integration approaches for each GPS outcome type, and walking events containing zero or more than one GPS points.

scholarly journals Automatic generation of road network data from smartphone GPS trajectories

2021 ◽  
Author(s):  
Zheng Niu
Keyword(s):  
Road Network ◽  
Automatic Generation ◽  
Geographical Information ◽  
Network Data ◽  
Gps Data ◽  
Gis Applications ◽  
Road Map ◽  
Gps Trajectories ◽  
Spatio Temporal ◽  
Gps Devices

Keeping road network databases up-to-date is crucial to Geographical Information System (GIS) applications such as vehicle navigation. The vector road centerlines extracted from satellite images or in-car Global Positioning System (GPS) devices are likely to be inaccurate due to costly and labour intensive or long updating circle. The GPS data crowdsourced through smartphones provides an emerging source for refining road map due to its rich spatio-temporal coverage and reasonable level of accuracy. This thesis introduces an optimized methodology to automatically generate road network data from smartphone GPS data without using any reference maps. The horizontal accuracy of the extracted road centerlines, measured as a root mean square of 1.424 m and 1.252 m for curved and straight road segments respectively, is better than that of some existing road datasets. The outcome of this research will provide a new way of generating a more accurate and up-to-date road network databases.

scholarly journals Automatic generation of road network data from smartphone GPS trajectories

2021 ◽  
Author(s):  
Zheng Niu
Keyword(s):  
Road Network ◽  
Automatic Generation ◽  
Geographical Information ◽  
Network Data ◽  
Gps Data ◽  
Gis Applications ◽  
Road Map ◽  
Gps Trajectories ◽  
Spatio Temporal ◽  
Gps Devices

Keeping road network databases up-to-date is crucial to Geographical Information System (GIS) applications such as vehicle navigation. The vector road centerlines extracted from satellite images or in-car Global Positioning System (GPS) devices are likely to be inaccurate due to costly and labour intensive or long updating circle. The GPS data crowdsourced through smartphones provides an emerging source for refining road map due to its rich spatio-temporal coverage and reasonable level of accuracy. This thesis introduces an optimized methodology to automatically generate road network data from smartphone GPS data without using any reference maps. The horizontal accuracy of the extracted road centerlines, measured as a root mean square of 1.424 m and 1.252 m for curved and straight road segments respectively, is better than that of some existing road datasets. The outcome of this research will provide a new way of generating a more accurate and up-to-date road network databases.

scholarly journals Wandering as a Sociomaterial Practice: Extending the Theorization of GPS Tracking in Cognitive Impairment

2018 ◽  
Vol 29 (3) ◽  
pp. 328-344 ◽  
Author(s):  
Joseph Wherton ◽  
Trisha Greenhalgh ◽  
Rob Procter ◽  
Sara Shaw ◽  
James Shaw
Keyword(s):  
Cognitive Impairment ◽  
Professional Staff ◽  
Ethnographic Study ◽  
Gps Tracking ◽  
Positioning Systems ◽  
Health And Social Care ◽  
Global Positioning ◽  
Gps Devices ◽  
The Individual ◽  
Electronic Tracking

Electronic tracking through global positioning systems (GPSs) is used to monitor people with cognitive impairment who “wander” outside the home. This ethnographic study explored how GPS-monitored wandering was experienced by individuals, lay carers, and professional staff. Seven in-depth case studies revealed that wandering was often an enjoyable and worthwhile activity and helped deal with uncertainty and threats to identity. In what were typically very complex care contexts, GPS devices were useful to the extent that they aligned with a wider sociomaterial care network that included lay carers, call centers, and health and social care professionals. In this context, “safe” wandering was a collaborative accomplishment that depended on the technology’s materiality, affordances, and aesthetic properties; a distributed knowledge of the individual and the places they wandered through, and a collective and dynamic interpretation of risk. Implications for design and delivery of GPS devices and services for cognitive impairment are discussed.

scholarly journals Forensic Engineering Applications Of Gps Data

2012 ◽  
Vol 29 (1) ◽  
Author(s):  
Daniel J. Melcher
Keyword(s):  
Global Positioning System ◽  
Digital Data ◽  
Gps Data ◽  
Positioning System ◽  
Engineering Analysis ◽  
Analysis Framework ◽  
Data Types ◽  
Global Positioning ◽  
Forensic Engineering ◽  
Gps Devices

Digital Sources Of Data Have Become Increasingly Important In The Forensic Engineering Analysis Of Vehicular Collisions. One Such Type Of Data, From Global Positioning System (Gps) Devices, Has Increased In Prevalence Within The Last Decade. As With Other Digital Data Types, It Is Important For Forensic Engineers To Understand The Sources And Types Of Gps Data Before Applying Them Within Their Analysis Framework. Validation Of The Gps Concept And Individual Devices, And Examples Of Gps Accepted Use Within The Engineering Community, Make This Technology An Important And Appropriate Tool For Forensic Engineering Analysis. Gps Data Can Be Acquired From A Variety Of Electronic Data Recorder (Edr) Sources, Both On-Vehicle And Off-Vehicle. Many Gps Data Sources Have Limitations That Can Lead To Misapplications Or Incorrect Conclusions If Not Properly Studied. Appropriate Mathematical Calculations And Analytical Procedures Will Be Addressed, Including The Types Of Collision Events That Can Best Benefit From The Context Of Gps Data. Gps Data Applications In Real-World Forensic Engineering Cases, Including Insurance Claims And Litigation, Reflect The Power Of Robust Analysis And Well As The Potential For Erroneous Conclusions If The Data Are Misused By The Analyst.

scholarly journals 284 Influence of three times weekly alfalfa supplementation on the behavior of beef cows grazing dormant Montana rangeland

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 211-211
Author(s):  
Noah G Davis ◽  
Samuel Wyffels ◽  
Carla Sanford ◽  
Timothy DelCurto
Keyword(s):  
Global Positioning System ◽  
Beef Cows ◽  
Positioning System ◽  
Gps Collar ◽  
Central Location ◽  
Global Positioning ◽  
Resting Time

Abstract The objectives of this research were to determine how daily and hourly distance traveled, grazing time, and resting time of beef cows are influenced relative to the timing of supplementation. Over two winters, a herd of commercial Angus cows grazed in a 645-ha Montana foothill rangeland pasture for 56 days between December and February each year. At 1300 every Monday, Wednesday and Friday, all cows were gathered and taken to a central location in the pasture where 3.18 kg∙hd-1 of alfalfa pellets (17% CP) were immediately delivered. Each year, 18 cows were randomly assigned a global positioning system (GPS) collar. Using the GPS collar data, distance traveled, grazing time, and resting time were estimated for each hour and day for each cow. Activity was grouped into the 24-h period pre-supplementation and 24-h period post-supplementation. Cows traveled 1.7 km further and grazed for 0.7 h less per day post-supplementation (P < 0.01). Daily resting time was similar pre- and post-supplementation (P = 0.07). Post-supplementation, cows traveled further in the afternoon and morning and reduced grazing in the afternoon and at night (P < 0.05). Cows rested less in the morning pre-supplementation and in the afternoon post-supplementation (P < 0.03). Results indicate that three times weekly supplementation alters cow activity, though differences are mostly associated with the time surrounding when supplement is delivered.

scholarly journals Parking Places to Moped-Style Scooter Sharing Services Using GIS Location-Allocation Models and GPS Data

2021 ◽  
Vol 10 (4) ◽  
pp. 230
Author(s):  
Onel Pérez-Fernández ◽  
Juan Carlos García-Palomares
Keyword(s):  
Global Positioning System ◽  
Catchment Area ◽  
Public Spaces ◽  
Gps Data ◽  
Positioning System ◽  
Urban Centers ◽  
Location Allocation ◽  
Global Positioning ◽  
The City

Moped-style scooters are one of the most popular systems of micro-mobility. They are undoubtedly good for the city, as they promote forms of environmentally-friendly mobility, in which flexibility helps prevent traffic build-up in the urban centers where they operate. However, their increasing numbers are also generating conflicts as a result of the bad behavior of users, their unwarranted use in public spaces, and above all their parking. This paper proposes a methodology for finding parking spaces for shared motorcycle services using Geographic information system (GIS) location-allocation models and Global Positioning System (GPS) data. We used the center of Madrid and data from the company Muving (one of the city’s main operators) for our case study. As well as finding the location of parking spaces for motorbikes, our analysis examines how the varying distribution of demand over the course of the day affects the demand allocated to parking spaces. The results demonstrate how reserving a relatively small number of parking spaces for scooters makes it possible to capture over 70% of journeys in the catchment area. The daily variations in the distribution of demand slightly reduce the efficiency of the network of parking spaces in the morning and increase it at night, when demand is strongly focused on the most central areas.

scholarly journals Analyzing the Performance of GPS Data for Earthquake Prediction

2021 ◽  
Vol 13 (9) ◽  
pp. 1842
Author(s):  
Valeri Gitis ◽  
Alexander Derendyaev ◽  
Konstantin Petrov
Keyword(s):  
Earthquake Prediction ◽  
Spatial Density ◽  
Gps Data ◽  
Quality Of Data ◽  
Minimum Area ◽  
Seismological Data ◽  
Successful Prediction ◽  
Spatio Temporal ◽  
Hypocenter Depth

The results of earthquake prediction largely depend on the quality of data and the methods of their joint processing. At present, for a number of regions, it is possible, in addition to data from earthquake catalogs, to use space geodesy data obtained with the help of GPS. The purpose of our study is to evaluate the efficiency of using the time series of displacements of the Earth’s surface according to GPS data for the systematic prediction of earthquakes. The criterion of efficiency is the probability of successful prediction of an earthquake with a limited size of the alarm zone. We use a machine learning method, namely the method of the minimum area of alarm, to predict earthquakes with a magnitude greater than 6.0 and a hypocenter depth of up to 60 km, which occurred from 2016 to 2020 in Japan, and earthquakes with a magnitude greater than 5.5. and a hypocenter depth of up to 60 km, which happened from 2013 to 2020 in California. For each region, we compare the following results: random forecast of earthquakes, forecast obtained with the field of spatial density of earthquake epicenters, forecast obtained with spatio-temporal fields based on GPS data, based on seismological data, and based on combined GPS data and seismological data. The results confirm the effectiveness of using GPS data for the systematic prediction of earthquakes.

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