A multivariate method for estimating the existence of cryptic archaeological sites at infrastructure works

Resumen

A parametric spatio-temporal model for facing the risk of exposure of crypticarchaeological sites due to large infrastructure projects in rural areas is presented. Itworks under budget constraints in the information market, and is useful for makingdecisions on the control of environmental systems. After characterizing and measuring themain variables that describe the probability of the existence of any site in an area whereworks are projected, a function is generated through an artificial neural network or someother statistical process to find these probabilities in each zone of the rural area. Themethod provides cartography with probabilities of existence of archaeological sites, auseful tool for choosing the best location for the planned infrastructure. This method ofnon-invasive prospecting of archeological evidence, reduces the cost of informationgathering to one third of traditional methods and provides probabilities with satisfactoryaccuracy.