An R 'Shiny' application for the visualisation, interactive exploration, and web communication of archaeological spatial data. It includes interactive 3D and 2D visualisations, generation of cross sections and maps of the remains, and display an interactive timeline of the work made in a site. Simple spatial statistics can be performed (convex hull, regression surfaces, 2D kernel density estimation), as well as exporting data to other online applications for more complex methods. 'archeoViz' can be used locally or deployed on a server, either with interactive input of data or with a static data set. Example is provided at <https://analytics.huma-num.fr/archeoviz/en>.

Performs archetypal analysis by using Principal Convex Hull Analysis 
    under a full control of all algorithmic parameters. 
    It contains a set of functions for determining the initial solution, the optimal 
    algorithmic parameters and the optimal number of archetypes.
    Post run tools are also available for the assessment of the derived solution. 
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    Barber, CB, Dobkin, DP, Huhdanpaa, HT (1996) <doi:10.1145/235815.235821>.    
    Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076>.    
    Falk, A., Becker, A., Dohmen, T., Enke, B., Huffman, D., Sunde, U. (2018), <doi:10.1093/qje/qjy013>. 
    Christopoulos, DT (2015) <doi:10.1016/j.jastp.2015.03.009> .  
    Murari, A., Peluso, E., Cianfrani, Gaudio, F., Lungaroni, M., (2019), <doi:10.3390/e21040394>.

A project template to support the data science workflow.

The main function archetypes implements a
    framework for archetypal analysis supporting arbitrary
    problem solving mechanisms for the different conceptual
    parts of the algorithm.

Analysis of complex plant root system architectures (RSA) using the output files created by Data Analysis of Root Tracings (DART), an open-access software dedicated to the study of plant root architecture and development across time series (Le Bot et al (2010) "DART: a software to analyse root system architecture and development from captured images", Plant and Soil, <DOI:10.1007/s11104-009-0005-2>), and RSA data encoded with the Root System Markup Language (RSML) (Lobet et al (2015) "Root System Markup Language: toward a unified root architecture description language", Plant Physiology, <DOI:10.1104/pp.114.253625>). More information can be found in Delory et al (2016) "archiDART: an R package for the automated computation of plant root architectural traits", Plant and Soil, <DOI:10.1007/s11104-015-2673-4>.