Disaggregation Strategies for Demographic Data in Kazakhstan (CA_POP)

Abstract

The demographic dynamics are always important for the political, environmental and social-economic forecasts. Because high-resolution of population data is an universal key for solving many challenges of research and analysis. Proper assessment of the demographic situation and its accurate scientific predictions make possible to correct determine and plan the near and distant future changes at the state and local levels. Typically, demographic data collected at a spatially aggregated level. The consequence of this can be misleading results in which the aggregated data refers to a larger spatial unit. The solution to this challenging task can provide spatial disaggregation of population data. The detailed geo-referenced data of population distribution independent from the administrative boundaries is the main advantage of spatial disaggregation. The paper is focusing on the creating spatial disaggregation approach for the different demographic data of Kazakhstan.