Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

460
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
460
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

361
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
361
Manipulation and Analysis01:21

Manipulation and Analysis

24
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
24
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

402
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
402
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

219
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
219
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

358
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
358

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Molecular Techniques and Ecological Data for Taxonomically Difficult Groups: A Case Study of a Morphologically Variable New Species in the Genus <i>Chrysobothris</i> (Coleoptera: Buprestidae).

Insects·2026
Same author

A research agenda for GIScience in a time of disruptions.

International journal of geographical information science : IJGIS·2025
Same author

A Tn5 Transposase-Based System for High-Efficiency Genome-Wide Gene Activation in <i>Escherichia coli</i>.

ACS synthetic biology·2025
Same author

Deucravacitinib as a monotherapy for concurrent management of psoriasis and chronic spontaneous urticaria.

Immunologic research·2025
Same author

Enhanced soil remediation with iron-synthetic humic-like acid composites: a trade-off between metal immobilization efficacy and micro-ecological health.

Journal of environmental management·2025
Same author

Icariside II inhibits gastric cancer progression by suppressing the Wnt/β-catenin signaling pathway.

Cytotechnology·2025

Related Experiment Video

Updated: Jul 1, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K

ORTEGA v1.0: an open-source Python package for context-aware interaction analysis using movement data.

Rongxiang Su1, Yifei Liu2, Somayeh Dodge2

  • 1Department of Geography, University of California Santa Barbara, Santa Barbara, 93106, USA. rongxiangsu@ucsb.edu.

Movement Ecology
|March 9, 2024
PubMed
Summary

ORTEGA is a new open-source Python package for analyzing animal movement interactions. It identifies potential encounters and interaction attributes using a time-geographic approach, enhancing ecological research reproducibility.

Keywords:
Animal interactionGPS tracking dataInteraction analysisMovement analysisMovement dataPotential path areaTelemetry dataTime geography

More Related Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

1.6K

Related Experiment Videos

Last Updated: Jul 1, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

1.6K

Area of Science:

  • Ecological movement analysis
  • Computational ethology
  • Spatial-temporal dynamics

Background:

  • Understanding social relationships and ecological dynamics relies on analyzing movement in space and time.
  • Current computational tools for movement interaction analysis face challenges in reproducibility and accessibility for broader ecological research.

Purpose of the Study:

  • To introduce ORTEGA, an open-source Python package designed to address challenges in movement interaction analysis.
  • To provide a tool for analyzing potential interactions between moving entities using a time-geographic approach.

Main Methods:

  • Developed ORTEGA, an Object-oRiented TimE-Geographic Analytical tool, as an open-source Python package.
  • Applied a time-geographic approach to quantify space-time interaction patterns in animal movement data.
  • Demonstrated ORTEGA's functionality with a case study on animal movement data.

Main Results:

  • ORTEGA enables identification of potential interactions (encounters, concurrent, delayed) from multi-entity movement data.
  • The package computes interaction attributes like start/end times, duration, and differences in movement parameters (speed, direction).
  • ORTEGA incorporates context-aware abilities to refine interaction analysis.

Conclusions:

  • ORTEGA enhances the analysis of social relationships and ecological dynamics by providing accessible and reproducible methods for movement interaction analysis.
  • The tool offers significant capabilities for identifying and characterizing potential interaction events in ecological studies.
  • ORTEGA extends theoretical developments in time-geography for movement analysis.