Skip to content

Research at St Andrews

Stacked space-time densities: a geovisualisation approach to explore dynamics of space use over time

Research output: Contribution to journalArticlepeer-review

Author(s)

Urska Demsar, Kevin Buchin, Emiel E. van Loon, Judy Shamoun-Baranes

School/Research organisations

Abstract

Recent developments and ubiquitous use of global positioning devices have revolutionised movement ecology. Scientists are able to collect increasingly larger movement datasets at increasingly smaller spatial and temporal resolutions. These data consist of trajectories in space and time, represented as time series of measured locations for each tagged animal. Such data are analysed and visualised using methods for estimation of home range or utilisation distribution, which are often based on 2D kernel density in geographic space. These methods have been developed for much sparser and smaller datasets obtained through very high frequency (VHF) radio telemetry. They focus on the spatial distribution of measurement locations and ignore time and sequentiality of measurements. We present an alternative geovisualisation method for spatio-temporal aggregation of trajectories of tagged animals: stacked space-time densities. The method was developed to visually portray temporal changes in animal use of space using a volumetric display in a space-time cube. We describe the algorithm for calculation of stacked densities using four different decay functions, normally used in space use studies: linear decay, bisquare decay, Gaussian decay and Brownian decay. We present a case study, where we visualise trajectories of lesser black backed gulls, collected over 30 days. We demonstrate how the method can be used to evaluate temporal site fidelity of each bird through identification of two different temporal movement patterns in the stacked density volume: spatio-temporal hot spots and spatial-only hot spots.
Close

Details

Original languageEnglish
Pages (from-to)85-115
JournalGeoInformatica
Volume19
Issue number1
Early online date3 Apr 2014
DOIs
Publication statusPublished - Jan 2015

    Research areas

  • Animal Movement, Space-time Density, Space-time Cube, Visual data exploration, Home range estimation, Utilisation distribution

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis

    Demsar, U., Long, J., Benitez-Paez, F., Brum-Bastos, V., Marion, S., Martin, G., Sekulic, S., Smolak, K., Zein, B. & Sila-Nowicka, K., 19 Feb 2021, In: International Journal of Geographical Information Science. Latest Articles, 36 p.

    Research output: Contribution to journalReview articlepeer-review

  2. Integrated science of movement

    Demsar, U., Long, J. & Sila-Nowicka, K., 21 Dec 2020, In: Journal of Spatial Information Science. 2020, 21, p. 25-31

    Research output: Contribution to journalArticlepeer-review

  3. Who counts? Gender, gatekeeping, and quantitative human geography

    Franklin, R., Houlden, V., Robinson, C., Arribas-Bel, D., Delmelle, E., Demsar, U., Miller, H. & O'Sullivan, D., 10 Nov 2020, In: Professional Geographer. Latest Articles, 14 p.

    Research output: Contribution to journalArticlepeer-review

  4. Multi-source data fusion of optical satellite imagery to characterize habitat selection from wildlife tracking data

    Brum-Bastos, V., Long, J., Church, K., Robson, G., de Paula, R. & Demsar, U., Nov 2020, In: Ecological Informatics. 60, 101149.

    Research output: Contribution to journalArticlepeer-review

  5. The effect of air-pollution and weather exposure on mortality and hospital admission and implications for further research: a systematic scoping review

    Abed Al Ahad, M., Sullivan, F., Demšar, U., Melhem, M., Kulu, H. & Lee, C. (ed.), 29 Oct 2020, In: PLoS ONE. 15, 10, 24 p., e0241415.

    Research output: Contribution to journalArticlepeer-review

ID: 108603444

Top