Published May 29, 2018 | Version v1
Dataset Open

Data from: Individual Movement - Sequence Analysis Method (IM-SAM): characterising spatio-temporal patterns of animal trajectories across scales and landscapes

Creators

  • 1. Department of Geography, Ghent University, Krijgslaan 281, 9000 Ghent, Belgium Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all' Adige, Trentino, Italy
  • 2. Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all' Adige, Trentino, Italy. Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA
  • 3. Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all' Adige, Trentino, Italy
  • 4. Office National de la Chasse et de la Faune Sauvage, Direction de la Recherche et de l'Expertise, Unité ongulés sauvages, 5 allée de Bethléem, 38610 Gières, France
  • 5. Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
  • 6. Bavarian Forest National Park, Department of Conservation and Research, Freyunger Str. 2, 94481 Grafenau Germany; Chair of Wildlife Ecology and Wildlife Management, Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacher Straße 4 D-79106 Freiburg, Germany
  • 7. Chair of Wildlife Ecology and Wildlife Management, Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacher Straße 4 79106 Freiburg, Germany Division of Wildlife Ecology, Forest Research Institute of Baden-Württemberg, Wonnhaldestraße 4, 79100 Freiburg, Germany
  • 8. Norwegian Institute for Nature Research, P.O. Box 5685 Torgard, NO-7485 Trondheim, Norway
  • 9. CEFS, Université de Toulouse, INRA, Castanet-Tolosan, France
  • 10. Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, P.O. Box 1066 Blindern, NO-0316 Oslo, Norway
  • 11. Institute of Wildlife Biology and Game Management, Gregor-Mendel-Straße 33, 1180 Wien
  • 12. Department of Geography, Ghent University, Krijgslaan 281, 9000 Ghent, Belgium

Description

Dataset included in Zenodo supports the analyses performed in "Individual Movement - Sequence Analysis Methods (IM-SAM) characterising spatio-temporal patterns of animal trajectories across scales and landscapes."

The dataset includes one RDS file, that can be easily loaded into R using the readRDS function. The RDS file consists out of a list including two objects per animal:

  • Object 1 contains a data frame with the real and simulated sequences for an animal. e.g., ls[[1]][[1]] 
  • Object 2 contains the home range in raster format of an animal. e.g., ls[[1]][[2]]

The data frames in object 1 contain real habitat use sequences and corresponding simulated habitat use sequences generated in the home range of the specific individual (900 simulated sequences: 6 habitat selection rules x 3 selection coefficients x 50 repetitions). Open and closed habitats are respectively encoded by 0 and 1. The first 96 columns of each row in a data frame represent a 16-day habitat use sequence, with a fixed 4-hour relocation interval (0, 4, 8, 12, 16 and 20h). Column names are named as follows: Day_1_0h, Day_1_4h,..., Day_16_20h. In the next columns we provide the selection coefficients (columns 97-99), the habitat selection rules (or pattern, columns 100-102) and the number of missing values (mvs, columns, 103-104) for each of the real and simulated sequences. Note that simulated sequences have no missing values (i.e. values are always 0.00) and for real sequences there is no selection coefficient or habitat selection rule (i.e. values are always xxx).

Rownames of simulated sequences are composed out of the habitat selection rule (c, o, a24, a33, a42 and u), the selection coefficient (5, 10, 50) and the replicate (1 to 50), separated by dashes. For example, the first simulated sequence in the first data frame (ls[[1]][[1]][1,]) is described as a24_10_1. The rownames of real sequences instead are composed out of the individuals' identifier, the biweekly period (1 to 23) and the year. For example, the first real sequence in the first data frame (ls[[1]][[1]][901,]) is described as 1_5_2006.


 

Files

Files (9.3 MB)

Name Size Download all
md5:819880cb000fffc29930c7b6638980be
9.3 MB Download