Group 3 Report

Background

Imbalance of economic development has become a long-lasting issue in China. Benefited by the geographic location as well as the national policy deployed in 1980's, east coast areas in China, especially Shanghai, Zhejiang and Jiangsu have grown at an incredible speed during last few decades. The economic growth in east China shows a geographic radiation pattern, and contributors for GDP are different in every area.
In the project, we will use geographic weighted regression model,and focusing on researching the different GDP indicators in east China.We will use R to build an interaction application so that users could feel easy to explore their interested economic contributors.

raw data
The data set we are using includes 2 parts:
1. GDP and indicators data
2. Shape files
The shapefile of Chinese region (CHN_adm_shp) is available on ERSI (which is an organization providing geographic information system). The shapefile includes 3 levels. In our project, we are using the 2nd level of the shapefile, which is "prefecture-level city".

Analysis flow

Tools used

Methodology

Initiatives

raw data

Analysis flow

Tools used

Methodology