Research On Multi-Scale Poverty Differentiation Features Based On Spatio-Temporal Data Mining

Through years of poverty alleviation and development,China's poverty situation has been greatly improved.However,under the new normal,China is still facing tremendous pressure in poverty alleviation and development for the reason that long-term historical legacy,severe natural environmental risks,and urban-rural/regional differences are still gradually increasing.Guangxi is one of the main battlefields in the country's fight against poverty alleviation.Therefore,full understanding of Guangxi's poverty situation can help carry out poverty alleviation and development in an effective and targeted manner.Currently,Guangxi's poverty researches mainly focus on the county scale,and the multi-dimensional poverty still needs to be enriched and improved in terms of the research scale and measurement index.For the purpose of accurately and quickly identifying the impoverished objects,and improving the efficiency and effect of poverty alleviation work,the Paper has established a county/village-level poverty database based on the poverty space theory and targeted poverty alleviation theory,and statistical data from different sources after going through literature learning and summary.The Paper is written from a multi-dimensional perspective,and through remote sensing means to obtain natural environment data.With the help of Arc GIS,SPSS,Geo Da,geographic detectors and other spatial analysis and data statistical software,the multidimensional poverty index model is combined with the visualization of GIS to describe the distribution characteristics of multi-dimensional poverty space of Guangxi of different scales.Through factor detection,poverty contribution,multiple linear regression analysis and other research methods,the leading factors that cause poverty differences on different scales are explored.At the county scale,exploratory spatio-temporal data analysis(ESTDA)is used to explore the spatial-temporal correlation pattern and aggregation of poverty,find the spatio-temporal evolution characteristics of poverty correlation pattern,try to explore the spatial relationship between ecological environment and poverty,improve ecological poverty from the perspective of ecological compensation,and expect to play a certain role in reducing regional poverty differences.Finally,poor villages are divided into types,with a view to providing a scientific reference for the current targeted poverty alleviation and rural revitalization work with the assistance of the minimum variance model and the poverty contribution.The main conclusions drawn in the Paper are:(1)At the county scale or at the village scale,the spatial distribution of poverty in Guangxi shows obvious regional differentiation characteristics.As a severely poor region,the poverty level in northwestern Guangxi is significantly higher than that in other regions.Northeast andeast Guangxi are moderately poor areas,and southeastern Guangxi is a mildly poor region.(2)We find that the poverty factors at different scales are also different according to the comparison.mountain land area proportion,added value in tertiary industry,and average fluctuation are among the main poverty factors of county-scale poverty.And Karst area proportion,per capita cultivated area,and the distance from the trunk road are among the main poverty factors of village-level poverty.The economic development of a county may not depend entirely on agricultural production,while when other industries cannot effectively increase the income of residents,poverty will occur.However,the income of residents living in rural areas originates heavily from agricultural production,and the poverty situation in areas with poor ecological environment is difficult to change for rural residents living there.(3)It shows from the analysis results of exploratory spatio-temporal data that a strong spatial aggregation is found in the spatial pattern of in county-level poverty in Guangxi,and the spatio-temporal coordinated poverty evolution characteristics of poverty incidence within the local space is that the spatial dependence and spatial dependence direction of the county in the southeast Guangxi are stable,while relatively dynamic space dependence characteristics appear in the northwestern Guangxi region,but even so,the poverty spatial status of all counties in Guangxi is still difficult to change.(4)County-level poverty in Guangxi has a high coupling degree of symbiotic relationship with the ecological service value.The severely poor areas in northwest Guangxi have higher ecological service values than other regions,and vice versa,where exists a phenomenon of“polarization”.Therefore,the regional poverty gap shall be reduced from the perspective of ecological compensation.The ecological service value in southeastern Guangxi is low,and the corresponding ecological compensation shall be paid first for it is a typical ecological resource consumption area.As a key ecological function area with a relatively high level of poverty,northwest Guangxi shall be given priority to obtain ecological compensation.(5)From the classification results of poor villages,we can find that there are no single-factor poverty-causing poor villages in the classification results,indicating that the poor villages in Guangxi are mainly multi-dimensional comprehensive poverty,and of four-factor cooperative type,which account for 46.06%,followed by the five-factor combined type,accounting for 31.22%.The poverty rate of the production and living conditions and human resources dimension is the highest.Although the poverty rate of the natural environmental factors are not as high as that of the production and living conditions and human resources dimension,38.75% of the poor villages are caught in poverty under the constraints of natural environment,and the poverty level is generally higher than that of other types.What's worse,the poverty situation is more difficult to change.