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Arcgis 10.3 china prefecture city
Arcgis 10.3 china prefecture city




arcgis 10.3 china prefecture city

Our results indicated that the high life expectancy at birth in Tibet are distributed like a strip the main control factor of life expectancy in Tibet is socioeconomy, followed by geological environment furthermore, the highest range of socioeconomic factors and the igneous rock exposed areas correspond to the maximum value of life expectancy at birth factors of ecological environment have a certain impact on the life expectancy of Tibetan residents, while factors of geographical environment have few effects on the life expectancy.

arcgis 10.3 china prefecture city

We chose 13 potential factors of socio-economy, ecological environment, geological environment and geographical environment to quantitatively analyze their impacts and their interactive influences on Tibet’s life expectancy in 2010 by using geographical detector (Geodetector) algorithm, and figure out their suitable ranges or types. However, few studies discussed impacts of various socioeconomic and environmental factors comprehensively, and quantitative analysis of multi-factors is lacking. Due to the individual difference of self-factors, the external environment impacts on life expectancy are especially important under the geoscience perspective. Life expectancy is influenced by both innate human self-factors and external environmental factors.






Arcgis 10.3 china prefecture city