Population Information Management System Based On Gis Research

Population information is a kind of typical statistical information,besides the natural attribute,social,economic and cultural characteristics,which also had space characteristics. But in fact population is also distribute by the geographical spatial,population data has obvious space-time characteristics,traditional ways have more qualitative analysis and less quantitative analysis, for example, filed survey, statistical analysis, population maps and so on . Those methods has become increasingly do not meeting the real needs, and lack the truly integration of demographic and spatial information. GIS which is a efficient tool about spatial information management and application favored in population analysis as its powerful spatial analysis and visualization features. Therefore, establishing GIS-based population information management system play a positive role for the full development and application of population information resources, the strengthening of social management, and achieving information society. At the same time, PIMS can effectively implement the information sharing and utilization.Firstly, this paper introduces the model of population information analysis, including population projections, spatial autocorrelation analysis and population focus, population concentration index, regression analysis, correlation analysis, ect; secondly, the paper elaborate this system's analysis and design such as general logic, database and functional design; finally, developing GIS-based PIMS take the Jiangxi Province's demographic information as experimental data, .NET as development platform, with the ESRI provided ArcEngine components, and using C# language. The system provides inquiries, statistics, forecasts, analysis and outputting result functions basing on population information. These functions not only implement fast query and statistic on region's population, but also statistic and analyze demographic information in the same region at different times, and build forecasting model. More importantly, using the system's various analytical models forecast scientifically future population in region, research the spatial concentration of population and migration of population center of gravity in the past and future. So, the system provides important scientific basis for formulating regional sustainable development, land improvement, urban and rural construction and environmental protection.