Introducing AMV (Animal Movement Visualizer), a visualization tool for animal movement data from satellite collars and radiotelemetry

被引:3
|
作者
Kavathekar, Devtulya [1 ]
Mueller, Thomas [1 ]
Fagan, William F. [1 ]
机构
[1] Univ Maryland, Dept Biol, College Pk, MD 20742 USA
基金
美国国家科学基金会;
关键词
Satellite collar data; ARGOS-GPS; Radiotelemetry; Migration; Nomadism; Range-residency;
D O I
10.1016/j.ecoinf.2012.12.005
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Researchers and wildlife managers often want to understand how landscape features influence an individual animal's movement. Animal movement data, whether derived from satellite collars, cellphone/hydrophone nets, or radiotelemetry studies, provide a range of information on movement including large-scale displacements and small-scale changes in orientation and velocity. To help contextualize such data and facilitate their interpretation, we developed a Java informatics tool, Animal Movement Visualizer v1.0. Built on the NASA World Wind v1.2 development kit, our free, downloadable software can display simultaneously the pathways of multiple animals moving against a backdrop of digital imagery of the Earth's surface, allowing researchers and managers to observe how multiple individuals move about with respect to one another in relative time. The program can accommodate datasets with irregularly timed relocations and relocation intervals that vary among individuals. The software displays the Earth's surface in a scalable way, facilitating visualization of specific landscape features. To illustrate possible uses for AMV, we provide a sample dataset for movement tracks of Mongolian gazelles (Procapra gutturosa) moving across steppe habitat. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:91 / 95
页数:5
相关论文
共 50 条
  • [31] A new multi-scale measure for analysing animal movement data
    Postlethwaite, Claire M.
    Brown, Pieta
    Dennis, Todd E.
    JOURNAL OF THEORETICAL BIOLOGY, 2013, 317 : 175 - 185
  • [32] The Cognitive Ecology of Animal Movement: Evidence From Birds and Mammals
    Kashetsky, Tovah
    Avgar, Tal
    Dukas, Reuven
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2021, 9
  • [33] Fluid movement and chemical transport from an animal waste storage
    Fonstad, TA
    Maule, CP
    Barbour, SL
    Donahue, R
    Ingram, L
    Meier, D
    PREFERENTIAL FLOW: WATER MOVEMENT AND CHEMICAL TRANSPORT IN THE ENVIRONMENT, 2000, : 197 - 200
  • [34] Discovering Loose Group Movement Patterns from Animal Trajectories
    Wang, Yuwei
    Luo, Ze
    Xiong, Yan
    Prosser, Diann J.
    Newman, Scott H.
    Takekawa, John Y.
    Yan, Baoping
    2015 IEEE 11TH INTERNATIONAL CONFERENCE ON E-SCIENCE, 2015, : 196 - 206
  • [35] From birds to butterflies: animal movement patterns and stable isotopes
    Rubenstein, DR
    Hobson, KA
    TRENDS IN ECOLOGY & EVOLUTION, 2004, 19 (05) : 256 - 263
  • [36] Movement Activity Based Classification of Animal Behaviour with an Application to Data from Cheetah (Acinonyx jubatus)
    Gruenewaelder, Steffen
    Broekhuis, Femke
    Macdonald, David Whyte
    Wilson, Alan Martin
    McNutt, John Weldon
    Shawe-Taylor, John
    Hailes, Stephen
    PLOS ONE, 2012, 7 (11):
  • [37] Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data
    Boyce, Mark S.
    Pitt, Justin
    Northrup, Joseph M.
    Morehouse, Andrea T.
    Knopff, Kyle H.
    Cristescu, Bogdan
    Stenhouse, Gordon B.
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2010, 365 (1550) : 2213 - 2219
  • [38] Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis
    Demsar, Urska
    Long, Jed A.
    Benitez-Paez, Fernando
    Brum Bastos, Vanessa
    Marion, Solene
    Martin, Gina
    Sekulic, Sebastijan
    Smolak, Kamil
    Zein, Beate
    Sila-Nowicka, Katarzyna
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2021, 35 (07) : 1273 - 1308
  • [39] Bioavailable Strontium in the Southern Andes (Argentina and Chile): A Tool for Tracking Human and Animal Movement
    Barberena, Ramiro
    Tessone, Augusto
    Cagnoni, Mariana
    Gasco, Alejandra
    Duran, Victor
    Winocur, Diego
    Benitez, Anahi
    Lucero, Gustavo
    Trillas, Dario
    Zonana, Ines
    Novellino, Paula
    Fernandez, Mauricio
    Bavio, Marta A.
    Zubillaga, Erica
    Gautier, Eduardo A.
    ENVIRONMENTAL ARCHAEOLOGY, 2021, 26 (03) : 323 - 335
  • [40] A hierarchical machine learning framework for the analysis of large scale animal movement data
    Colin J. Torney
    Juan M. Morales
    Dirk Husmeier
    Movement Ecology, 9