Predictive Model for Iron Age Settlements on Gotland, 200 – 600 AD : An overview of Predictive Modelling in Archaeology with an implementation of Logistic Regression Analysis
Gustaf Svedjemo · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2011
Predictive modelling in GIS has been in practise in the USA for several decades. Lagging some years behind it has been tried in some European countries. This paper briefly outlines the concept of predicting modelling and describes an implementation of it made on the island of Gotland, Sweden. The method used is Logistic Regression Analysis and the object of the study is the Iron Age settlements, Kämpegravar. The independent variables used to predict the areas are soil types and land use and settlement patterns in the 18th century, derived from old cadastral maps.