Spatial Predictive Model

  • Tech:
    Android, PostgreSQL, Node.js, PGRestAPI
  • Client:
    BMGF Grand Challenge Exploration

Project Info:

Using geosocial data mining techniques, geostatistical point-pattern analysis, and spatial regression models, this work aims to determine the spatial distribution and regional densities of financial touch point (FTP) locations in countries in which little to no on-the-ground data

collection has been completed. This will involve the development of a low cost, robust data collection application designed to intelligently inform data collectors based on demographic and socio-economic analysis and FTP prediction models.