Title: Spatial Simulating in Regional Rural Poverty Based on GIS and BP Neural Network:A New Appraisement Method on Regional Rural Poverty
Abstract:Based on the status that appraisement method on regional rural poverty is not perfect and is lacking geographical factor,the national poverty alleviation counties in Sichuan Province were taken as an ...Based on the status that appraisement method on regional rural poverty is not perfect and is lacking geographical factor,the national poverty alleviation counties in Sichuan Province were taken as an example to construct index system of regional rural poverty which includes physical,social and economic factors,and the infecting mechanism of regional rural poverty was analyzed.The regional Natural Impoverishing Index,Social Impoverishing Index and Economic Poverty Alleviation Index were simulated companying with their spatial distribution pattern with tools of GIS and BP Neural Network.Then,the regional Pressure of Poverty Alleviation Index was discussed,which can represent extent of regional rural poverty perfectly.It provided a new method of appraisement on regional rural poverty,and could give a realistic way about distribution of financial anti-poverty fund basically for the regional rural poverty.The method would comply with the country anti-poverty policy laying on 《Management Method of Financial Anti-Poverty Fund》.Read More
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 5
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot