This repository contains an open licensed compendium of data (/data
), source code (/src
) and text (/doc
) associated with the publication "Recursive anisotropy: a spatial taphonomic study of the Early Pleistocene vertebrate assemblage of Tsiotra Vryssi, Mygdonia Basin, Greece", authored by D. Giusti et al. (DOI: 10.1111/bor.12368). A preprint of the manuscript is available open access on Open Science Framework (DOI: 10.17605/OSF.IO/QKZNM).
By applying advanced spatial statistical methods, spatial taphonomy complements the traditional taphonomic approach and enhances our understanding of biostratinomic and diagenetic processes. In this study, we elaborate on a specific aspect – spatial anisotropy – of taphonomic processes. We aim to unravel the taphonomic history of the Early Pleistocene vertebrate assemblage of Tsiotra Vryssi (Mygdonia Basin, Greece). Circular statistics are used for the fabric analysis of elongated elements; geostatistics (directional variograms), wavelet and point pattern analyses are applied for detecting anisotropy at the assemblage level. The anisotropy of magnetic susceptibility (AMS) of sedimentary magnetic minerals is also investigated. The results, integrated with preliminary remarks about the differential preservation of skeletal elements, sedimentological and micromorphological observations, suggest multiple dispersion events and recurrent spatial re‐arrangement of a lag, (peri)autochthonous assemblage, consistent with the cyclical lateral switching of a braided fluvial system. Furthermore, this study offers a contribution to the building of a spatial taphonomic referential framework for the interpretation of other fossil vertebrate assemblages, including archaeo‐palaeontological ones.
The files archived at the DOI above are associated with the publication. The files hosted at github.com are the development versions and may have changed since the repository was published.
D. Giusti ([email protected])
Data: CC-BY-NC-ND-4.0 Copyright holder: (2018) Domenico Giusti, (2018) George E. Konidaris
Source code: MIT Copyright holder: (2018) Domenico Giusti
Text: CC-BY-NC-ND-4.0 Copyright holders: (2018) Domenico Giusti
R version 3.3.3 (2017-03-06) Platform: i686-pc-linux-gnu (32-bit) Running under: Debian GNU/Linux 9 (stretch)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] raster_2.6-7 rgdal_1.3-4 sp_1.3-1
[4] broom_0.5.0 RColorBrewer_1.1-2 ggmap_2.6.1
[7] ggplot2_3.0.0 lattice_0.20-34
loaded via a namespace (and not attached):
[1] reshape2_1.4.3 rstudioapi_0.7 magrittr_1.5
[4] spatstat.utils_1.9-0 spatstat.data_1.3-1 gtable_0.2.0
[7] tidyr_0.8.1 pillar_1.3.0 stringr_1.3.1
[10] dplyr_0.7.6 deldir_0.1-15 tidyselect_0.2.4
[13] plyr_1.8.4 pkgconfig_2.0.2 Matrix_1.2-8
[16] R6_2.2.2 digest_0.6.17 colorspace_1.3-2
[19] bindrcpp_0.2.2 tensor_1.5 proto_1.0.0
[22] stringi_1.2.4 lazyeval_0.2.1 labeling_0.3
[25] spatstat_1.56-1 tibble_1.4.2 abind_1.4-5
[28] mgcv_1.8-16 polyclip_1.9-1 bindr_0.1.1
[31] withr_2.1.2 rpart_4.1-10 backports_1.1.2
[34] munsell_0.5.0 Rcpp_0.12.18 RgoogleMaps_1.4.2
[37] mapproj_1.2.6 maps_3.3.0 png_0.1-7
[40] assertthat_0.2.0 rjson_0.2.20 jpeg_0.1-8
[43] tools_3.3.3 scales_1.0.0 goftest_1.1-1
[46] crayon_1.3.4 glue_1.3.0 purrr_0.2.5
[49] rlang_0.2.2 geosphere_1.5-7 nlme_3.1-131
[52] grid_3.3.3