Fitting the size of no-take zones to species movement patterns: a case study on a Mediterranean seabream

2014 ◽  
Vol 502 ◽  
pp. 245-255 ◽  
Author(s):  
M Di Lorenzo ◽  
G D’Anna ◽  
F Badalamenti ◽  
VM Giacalone ◽  
RM Starr ◽  
...  
Keyword(s):  
Movement Patterns ◽  
Species Movement

scholarly journals Ensemble model for estimating continental-scale patterns of human movement: a case study of Australia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Karen McCulloch ◽  
Nick Golding ◽  
Jodie McVernon ◽  
Sarah Goodwin ◽  
Martin Tomko
Keyword(s):  
Spatial Scales ◽  
Predictive Ability ◽  
Movement Patterns ◽  
Human Movement ◽  
Continental Scale ◽  
Movement Characteristics ◽  
Human Movements ◽  
Movement Models ◽  
Epidemiology Data

AbstractUnderstanding human movement patterns at local, national and international scales is critical in a range of fields, including transportation, logistics and epidemiology. Data on human movement is increasingly available, and when combined with statistical models, enables predictions of movement patterns across broad regions. Movement characteristics, however, strongly depend on the scale and type of movement captured for a given study. The models that have so far been proposed for human movement are best suited to specific spatial scales and types of movement. Selecting both the scale of data collection, and the appropriate model for the data remains a key challenge in predicting human movements. We used two different data sources on human movement in Australia, at different spatial scales, to train a range of statistical movement models and evaluate their ability to predict movement patterns for each data type and scale. Whilst the five commonly-used movement models we evaluated varied markedly between datasets in their predictive ability, we show that an ensemble modelling approach that combines the predictions of these models consistently outperformed all individual models against hold-out data.

scholarly journals Total Rhythm in Three Dimensions: Towards a Motional Theory of Melodic Dance Rhythm in Swedish Polska Music

2014 ◽  
Vol 32 (1) ◽  
pp. 43-64
Author(s):  
David Kaminsky
Keyword(s):  
Vertical Motion ◽  
Movement Patterns ◽  
Three Dimensions ◽  
Ethnographic Research ◽  
Research Techniques ◽  
Pulsation Rate ◽  
Air Resistance ◽  
Dance Movements ◽  
The Relationship

In this article I present an ethnotheory of the music/dance relationship in Swedish polska, based on dance fieldwork and interviews I have conducted with polska dance musicians. I discuss three mechanisms that these musicians use to communicate movement patterns to dancers: iteration (entrainment via repetition), metaphor (timbral weight conveying motional weight), and sympathy (musicians' movements mapping dance movements). I then discuss how musicians use these mechanisms to control four motional parameters: pulsation (rate and consistency of tempo), lean (degree and direction of tilt over the dance axis) viscosity (level of perceived air resistance), and libration (degree and timing of vertical motion). The work is intended in part as a case study of how theories of both music and dance can benefit from a focused analysis of the relationship between those two domains, as well as how studies of music/dance relations can benefit from the application of ethnographic research techniques.

The effect of roads on edge permeability and movement patterns for small mammals: a case study with Montane Akodont

2017 ◽  
Vol 32 (4) ◽  
pp. 781-790 ◽  
Author(s):  
Fernando Ascensão ◽  
Priscila Silva Lucas ◽  
Aline Costa ◽  
Alex Bager
Keyword(s):  
Small Mammals ◽  
Movement Patterns

scholarly journals Prenatal Beginnings of Temperament Formation–Myth or Reality? Case Study of a Twin Pregnancy

2012 ◽  
Vol 6 (2) ◽  
pp. 148-153 ◽  
Author(s):  
Ulrich Honemeyer
Keyword(s):  
Twin Pregnancy ◽  
Obstet Gynecol ◽  
Experimental Studies ◽  
Movement Patterns ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Reproducible Method ◽  
New Scoring

ABSTRACT Observation of the fetus in vivo by four-dimensional ultrasound provided abundant material for experimental studies of early neurobehavioral development. Consequently, a new scoring system for fetal neurobehavior, KANET, was created as a standardized, practical and reproducible method for qualitative and quantitative analysis of characteristics of fetal movement patterns. The eight parameters of KANET not only allow a differentiated comparison of fetal behavioral states but also enable prenatal diagnosis of abnormal neurological development. The knowledge that individual temperament is expressed by movement patterns is not new. To find answers to the question when temperament formation might begin, we applied KANET simultaneously at different gestational ages to both fetuses of a dichorionic twin pregnancy, and compared the results with temperament evaluation of both neonates 8 weeks postpartum. How to cite this article Honemeyer U, Kurjak A. Prenatal Beginnings of Temperament Formation–Myth or Reality? Case Study of a Twin Pregnancy. Donald School J Ultrasound Obstet Gynecol 2012;6(2):148-153.

scholarly journals Playground Social Interaction Analysis using Bespoke Wearable Sensors for Tracking and Motion Capture

2018 ◽  
Author(s):  
Behzad Heravi ◽  
Jenny Louise Gibson ◽  
Stephen Hailes ◽  
David Skuse
Keyword(s):  
Social Behaviour ◽  
Interaction Analysis ◽  
System Development ◽  
Wearable Sensors ◽  
Movement Patterns ◽  
Observational Research ◽  
Sensor Technology ◽  
Collective Movement ◽  
Unstructured Play

Unstructured play is considered important for the social, physical and cognitive development of children. Traditional observational research examining play behaviour at playtime (recess) has been hampered by challenges in obtaining reliable data and in processing sufficient quantities of that data to permit credible inferences to be drawn. The emergence of wearable wireless sensor technology makes it possible to study individual differences in childhood social behaviour based on collective movement patterns during playtime. In this work, we introduce a new method to enable simultaneous collection of GNSS/IMU data from a group of children interacting on a playground. We present a detailed description of system development and implementation before going on to explore methods of characterising social groups based on collective movement recording and analysis. A case study was carried out for a class of 7-8 year old children in their school playground during 10 episodes of unstructured play. A further 10 play episodes were monitored in the same space following the introduction of large, loose play materials. This experimental design allowed us to study the effect of an environmental intervention on social movement patterns. Sociometric analysis was conducted for comparison and validation. This successful case study demonstrates that sensor based movement data can be used to explore children’s social behaviour during naturalistic play.

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