id 11004 Url https://chloe.cnr.it/s/BiDiAr/item/11004 Resource template Academic Article Resource class bibo:AcademicArticle Title Defining Southern Etruria Final Bronze Age settlement models using an integrated GIS and Machine Learning approach Creator Cardarelli, Lorenzo Date 2023 Language eng Rights https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0 Abstract This research aims to use quantitative and repeatable GIS techniques, as well as Machine Learning algorithms, to study the settlement patterns in Southern Etruria during the final phase of the Bronze Age (1150-950/925 BC). The region of Southern Etruria is located in present-day Latium, Tuscany, and Umbria. The study, which includes 166 settlements, focuses on identifying the morphological characteristics of these settlements by means of raster analysis. Using a Machine Learning approach, the research will compare real settlements with random points within the region to understand the specific characteristics of the settlement pattern in the landscape. The study will also examine the use of feature selection and features importance methods to select the most significant features of a multivariate dataset. Is Part Of https://chloe.cnr.it/s/BiDiAr/item/2002 References https://chloe.cnr.it/s/BiDiAr/item/5326 Cites https://chloe.cnr.it/s/BiDiAr/item/15851 https://chloe.cnr.it/s/BiDiAr/item/10679 https://chloe.cnr.it/s/BiDiAr/item/15852 https://chloe.cnr.it/s/BiDiAr/item/15853 https://chloe.cnr.it/s/BiDiAr/item/15854 https://chloe.cnr.it/s/BiDiAr/item/15855 https://chloe.cnr.it/s/BiDiAr/item/15856 https://chloe.cnr.it/s/BiDiAr/item/15857 https://chloe.cnr.it/s/BiDiAr/item/15858 https://chloe.cnr.it/s/BiDiAr/item/15859 https://chloe.cnr.it/s/BiDiAr/item/15860 https://chloe.cnr.it/s/BiDiAr/item/10882 https://chloe.cnr.it/s/BiDiAr/item/15861 https://chloe.cnr.it/s/BiDiAr/item/15862 https://chloe.cnr.it/s/BiDiAr/item/15863 https://chloe.cnr.it/s/BiDiAr/item/15864 https://chloe.cnr.it/s/BiDiAr/item/15865 https://chloe.cnr.it/s/BiDiAr/item/15866 https://chloe.cnr.it/s/BiDiAr/item/15867 https://chloe.cnr.it/s/BiDiAr/item/15868 https://chloe.cnr.it/s/BiDiAr/item/15869 https://chloe.cnr.it/s/BiDiAr/item/15870 https://chloe.cnr.it/s/BiDiAr/item/15871 https://chloe.cnr.it/s/BiDiAr/item/15872 https://chloe.cnr.it/s/BiDiAr/item/15873 https://chloe.cnr.it/s/BiDiAr/item/15874 https://chloe.cnr.it/s/BiDiAr/item/15875 https://chloe.cnr.it/s/BiDiAr/item/15876 https://chloe.cnr.it/s/BiDiAr/item/15877 https://chloe.cnr.it/s/BiDiAr/item/15878 https://chloe.cnr.it/s/BiDiAr/item/15879 https://chloe.cnr.it/s/BiDiAr/item/15880 https://chloe.cnr.it/s/BiDiAr/item/15881 https://chloe.cnr.it/s/BiDiAr/item/15882 https://chloe.cnr.it/s/BiDiAr/item/15883 https://chloe.cnr.it/s/BiDiAr/item/15884 Doi https://doi.org/10.19282/ac.34.2.2023.03 Issue 2 Pages 51–68 Uri http://www.archcalc.cnr.it/journal/id.php?id=1261 Volume 34 Homepage https://www.zotero.org/groups/5293298/bidiar/items/8F4JSP4B/item-list --