Arq:l-v2.0: un software para el registro, cuantificación y comparación de subconjuntos líticos

Article

Authorship

Aschero, Carlos Alberto ; Ponce, Natalia Agustina

Date

2023

Publishing House and Editing Place

Museo de Antropología de la Facultad de Filosofía y Humanidades, Universidad Nacional de Cordoba

Magazine

Revista del Museo de Antropología, vol. 16 (pp. 195-208) - ISSN 1852-060X
Museo de Antropología de la Facultad de Filosofía y Humanidades, Universidad Nacional de Cordoba

ISSN

1852-060X

Summary Information provided by the agent in SIGEVA

Sofware ARQ:L-2.0 actualization, built upon specialized registration forms according to Aschero (2020) new typology, which is based on macroscopic morphology, is presented in this paper. This software has forms for data entry, and allows the user to perform a number of analysis according to raw materials and origins subsets, namely: A) Standardized analysis from a selected sample specific counts, structured by: Sample composition; Production system; Extraction shaping; Tools formatization; Tech... Sofware ARQ:L-2.0 actualization, built upon specialized registration forms according to Aschero (2020) new typology, which is based on macroscopic morphology, is presented in this paper. This software has forms for data entry, and allows the user to perform a number of analysis according to raw materials and origins subsets, namely: A) Standardized analysis from a selected sample specific counts, structured by: Sample composition; Production system; Extraction shaping; Tools formatization; Techno-typological based relations. B) Comparative analysis based on one or many samples sets selected by the user (among others, it can be according to: raw material, sites, stratigraphic origin, architectural, grid and/or micro-sector, etc.). C) This project contemplate, in the future, the addition of specific analysis based on users requests. The software will also count with a filter that allow inquiries about combined variables, in order to obtain values such as: average, media, mode, frequency table, standard deviation, etc. and correlate two or more variables selected by the user.