scholarly journals A relative‐motion method for parsing spatio‐temporal behaviour of dyads using GPS relocation data

2021 ◽  
Author(s):  
Ludovica Luisa Vissat ◽  
Jason K. Blackburn ◽  
Wayne M. Getz
Keyword(s):  
Relative Motion ◽  
Temporal Behaviour ◽  
Spatio Temporal ◽  
Motion Method

scholarly journals A relative-motion method for parsing spatio-temporal behaviour of dyads using GPS relocation data

2021 ◽  
Author(s):  
Ludovica Luisa Vissat ◽  
Jason K. Blackburn ◽  
Wayne M. Getz
Keyword(s):  
Relative Motion ◽  
Empirical Data ◽  
Behavioral Assessment ◽  
Simulated Data ◽  
Time Of Day ◽  
List Type ◽  
Temporal Behaviour ◽  
Biased Random Walk ◽  
Behavioral Interaction ◽  
Spatio Temporal

AbstractIn this paper, we introduce a novel method for classifying and computing the frequencies of movement modes of intra and interspecific dyads, focusing in particular on distance-mediated approach, retreat, following and side by side movement modes.Besides distance, the method includes factors such as sex, age, time of day, or season that cause frequencies of movement modes to deviate from random.We demonstrate and validate our method using both simulated and empirical data. Our simulated data were obtained from a relative-motion, biased random-walk (RM-BRW) model with attraction and repulsion circumferences. Our empirical data were GPS relocation time series collected from African elephants in Etosha National Park, Namibia. The simulated data were primarily used to validate our method while the empirical data analysis were used to illustrate the types of behavioral assessment that our methodology reveals.Our methodology facilitates automated, observer-bias-free analysis of the locomotive interactions of dyads using GPS relocation data, which is becoming increasingly ubiquitous as telemetry and related technologies improve. Our method should open up a whole new vista of behavioral-interaction type analyses to movement and behavioral ecologists.

Spatio-temporal regimes in Rayleigh–Bénard convection in a small rectangular cell

1989 ◽  
Vol 209 ◽  
pp. 309-334 ◽  
Author(s):  
M. A. Rubio ◽  
P. Bigazzi ◽  
L. Albavetti ◽  
S. Ciliberto
Keyword(s):  
Travelling Waves ◽  
Rectangular Cell ◽  
Complex Behaviour ◽  
Temporal Behaviour ◽  
Bénard Convection ◽  
Benard Convection ◽  
Spatio Temporal ◽  
Roll Axis ◽  
Rayleigh Benard Convection ◽  
Rayleigh Benard

By means of an original optical technique we have studied the spatio-temporal behaviour in a Rayleigh–Bénard convection experiment of small rectangular geometry. The experimental technique allows complete reconstruction of the temperature field integrated along the roll axis. Two main spatiotemporal regimes have been found, corresponding to localized oscillations and travelling waves respectively. Several parameters are proposed for the quantitative characterization of this complex behaviour.

scholarly journals Geospatial Analysis and Mapping Strategies for Fine Grained and Detailed COVID-19 Data With Geographic Information Systems

2021 ◽  
Author(s):  
ÁNGEL MIRAMONTES CARBALLADA ◽  
JOSE BALSA-BARREIRO
Keyword(s):  
Geographic Location ◽  
Social Contact ◽  
Temporal Behaviour ◽  
Fine Grained ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Spatio Temporal ◽  
Media Reports ◽  
Predictive Risk ◽  
The Impact

Abstract The CoVID-19 pandemic is showing a dramatic impact across the world. To the tragedy of the loss of human lives, we must add the great uncertainty that the new coronavirus is causing to our lives. Governments and public health authorities must be able to respond this emergency by taking the appropriate decisions for minimizing the impact of the virus. In the absence of an immediate solution, governments have concentrated their efforts on adopting non-pharmaceutical interventions for restricting the mobility of people and reducing the social contact. Health authorities are publishing most of data for supporting their interventions and policies. The geographic location of the cases is a vital information with exceptional value for analysing the spatio-temporal behaviour of the virus, doing feasible to anticipate potential outbreaks and to elaborate predictive risk mapping. In fact, a great number of media reports, research papers, and web-browsers have presented the COVID-19 disease spreading by using maps. However, processing and visualization of this sort of data presents some aspects that must be carefully reviewed. Based on our experience with fine-grained and detailed data related to COVID-19 in a Spanish region, we present a bunch of mapping strategies and good practices using geospatial tools. The ultimate goal is create appropriate maps at any spatial scale while avoiding conflicts with data such as those related to patients’ privacy.

Periodic and irregular spatio-temporal behaviour of current density filaments in Si p+−n+ −p−n− diodes

1993 ◽  
Vol 180 (1-2) ◽  
pp. 113-118 ◽  
Author(s):  
F.-J Niedernostheide ◽  
M Kreimer ◽  
H.-J Schulze ◽  
H.-G Purwins
Keyword(s):  
Current Density ◽  
Temporal Behaviour ◽  
Spatio Temporal

On the motion of space charge in a dielectric medium

1971 ◽  
Vol 269 (1195) ◽  
pp. 217-232 ◽  
Keyword(s):  
Space Charge ◽  
General Relation ◽  
Dielectric Medium ◽  
External Current ◽  
Parallel Plate Capacitor ◽  
Temporal Behaviour ◽  
Space Charges ◽  
Diffusion Effects ◽  
Spatio Temporal ◽  
Ideal Dielectric

A general relation is derived which describes the spatio-temporal behaviour of space charge in an ideal dielectric medium. (Diffusion effects are neglected.) This result is used to determine the behaviour of a parallel plate capacitor which contains space charges near its electrodes. Expressions are derived for the variation with time of the potential difference between the plates following the removal of an applied voltage and for the external current which flows when the plates are connected together. Symmetrical and asymmetrical charge distributions are considered.

A Computational Approach to Profile Generation of Planar Cam Mechanisms

2004 ◽  
Vol 126 (1) ◽  
pp. 183-188 ◽  
Author(s):  
Yuhua Zhang ◽  
Joong-Ho Shin
Keyword(s):  
Relative Motion ◽  
Design Automation ◽  
Relative Velocity ◽  
Computational Approach ◽  
Radius Of Curvature ◽  
New Approach ◽  
C Language ◽  
Kinematics Simulation ◽  
Single Disk ◽  
Motion Method

A new approach, called a Relative Motion Method (RMM), is proposed for designing the shape of the disk cam, which uses the relative velocity and the relative acceleration of a follower respect to a cam to discover the profile coordinate, the pressure angle and the radius of curvature on the cam. It is characterized by the procedures of automatic derivation and solution with computers and the suitability not only for general disk cams with different kinds of follower, such as sharp edge follower, roller follower, flat-faced follower, and so on, but also for the double-disk conjugate cams, single-disk conjugate cams and roller gear conjugate cams. A program for design automation of shape of the disk cam and the kinematics simulation of this kind of mechanism has been developed using the proposed approach with C++ language. Finally, an example is given.

scholarly journals IcePAC – a probabilistic tool to study sea ice spatio-temporal dynamics: application to the Hudson Bay area

2019 ◽  
Vol 13 (2) ◽  
pp. 451-468 ◽  
Author(s):  
Charles Gignac ◽  
Monique Bernier ◽  
Karem Chokmani
Keyword(s):  
Sea Ice ◽  
Temporal Dynamics ◽  
Numerical Models ◽  
Temporal Distribution ◽  
Grid Cell ◽  
Hudson Bay ◽  
Sea Ice Concentration ◽  
Temporal Behaviour ◽  
Ice Conditions ◽  
Spatio Temporal

Abstract. A reliable knowledge and assessment of the sea ice conditions and their evolution in time is a priority for numerous decision makers in the domains of coastal and offshore management and engineering as well as in commercial navigation. As of today, countless research projects aimed at both modelling and mapping past, actual and future sea ice conditions were completed using sea ice numerical models, statistical models, educated guesses or remote sensing imagery. From this research, reliable information helping to understand sea ice evolution in space and in time is available to stakeholders. However, no research has, until present, assessed the evolution of sea ice cover with a frequency modelling approach, by identifying the underlying theoretical distribution describing the sea ice behaviour at a given point in space and time. This project suggests the development of a probabilistic tool, named IcePAC, based on frequency modelling of historical 1978–2015 passive microwave sea ice concentrations maps from the EUMETSAT OSI-409 product, to study the sea ice spatio-temporal behaviour in the waters of the Hudson Bay system in northeast Canada. Grid-cell-scale models are based on the generalized beta distribution and generated at a weekly temporal resolution. Results showed coherence with the Canadian Ice Service 1981–2010 Sea Ice Climatic Atlas average freeze-up and melt-out dates for numerous coastal communities in the study area and showed that it is possible to evaluate a range of plausible events, such as the shortest and longest probable ice-free season duration, for any given location in the simulation domain. Results obtained in this project pave the way towards various analyses on sea ice concentration spatio-temporal distribution patterns that would gain in terms of information content and value by relying on the kind of probabilistic information and simulation data available from the IcePAC tool.

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