Studying the interdependency of natural factors and land use changes

The main objective of the paper is to determine the land use change and identify the factors affecting its each type in Giao Thuy – Nam Dinh area, Vietnam. Geomorphological factors, soil and distance to the coastline were selected as independent variables following from the land use change in this area. It is analyzed from satellite images. The results show that the main shifts are in rice area, mangrove forest and aquaculture. Multinomial logistic regression model is increasingly applied to solve classification problems; it is used to describe the data and determine the relationship between a dependent binary variable and the only or more independent ones. It allows you to determine the relationship between independent variables and the dependent one simply and easily. The result is that the regression coefficient reflects the influence of each natural factor on land use change. A positive regression value indicates an increase in dependence on natural factors and vice versa. Each separate pair of change will be connected with each natural state to a different extent