Predictive Model of Area of Ancient Land-Use in One Site-A Case Study of Yangshao Village Site, Henan Province
This paper took the archaeological remains of Yangshao Village site as the research object.The environmental indexes including altitude,slope,aspect,the distance to the river were selected as independent variables,while the archaeological remains and un-archaeological remains were selected as dependent variables.Then binary logistic regression was used to create a predictive model of areas of ancient land-use.The results showed that the probability of the distribution of ancient land use was proportionate to the value of altitude,was inversely proportional to the value of slope,aspect and the distance to the river.The influence of slope and aspect was the most significant.Based on the model,the grade map of the probability of distribution of ancient land-use was generated.The result showed that the probability in the south and east was high,which meant ancient human preferred in these areas.Combining field-survey and archaeological data,it was plain and available for agriculture in the south,and a lot of remains was found here.In the east,it was also plain but not available for agriculture,so other activities were taken here,such as burial.The predictive results agreed well with the actual results,which proved this model had certain scientificity.
Yangshao Village siteArchaeological remains pointBinary logistic regressionPredictive model
NETL
NSTL
万方数据
维普
