Taking 171 counties of Beijing-Tiajin-Hebei Region as research units, based on spatial analysis model of GIS and geographic weighted regression model, the spatial-temporal characteristics of GDP per capita and its cause in 1993- 2013 were revealed. Results were as follows. GDP per capita in the Beijing-Tianjin-Hebei Region at county level showed rapid growth trend with expanding difference; GDP per capita at county level showed a significant positive correlation, that is to say, the pattern of high-high concentration and low-low concentration was enhanced. Beijing-Tianjin-Tangshan Region was always the hot economic development zone in Beijing-Tianjin-Hebei Region, the GDP per capita of most counties in Hebei Province was at low level, and cold economic development belt of “Laiyuan County-Gaoyang County-Wuyi County-Zaoqiang Qiu County” was gradually formed. GDP per capita at county level showed spatial pattern of “northeast-southwest”, and the overall trend was enhanced. Wen’an County was the core of GDP per capita gravity, and the centre of economic gravity moved southwest firstly and then northeast, indicating that the economic development function in the northeast of Beijing-Tianjin-Hebei Region further strengthen. Compared with OLS model, the fitting effect of GWR model was improved obviously. The development of GDP per capita in 2013 was mainly promoted by the gross industrial output value per capita, the proportion of value-added of the tertiary industry, the contracted investment actually utilized per capita and urbanization level.

Four Tremadocianian sections of the Upper Yangtze Region of South China are intensively studied for biostratigraphical division and correlation. Based on the analysis of lithofacies, lithofacies associations, and facies successions, the detailed sea level curves of Tremadocian are revealed. Ten lithofacies which are grouped into three lithofacies associations deposited in the shallow subtidal, deep subtidal and shale basin zones. At least five major transgression events are recognized from each section in early TS.1a, late TS.1a, early TS.1c, late TS.1c and late TS.1d. The most major transgression event occurred in early TS.1c. Compared with other paleoplates, eustatic sea level changes might be the major controlling factor for the sea level fluctuations of the Upper Yangtze Region of South China.