Design And Implementation of a Spatiotemporal GIS Database for Migrant Population Dynamics Management

Strong technology platforms are needed to track, analyze and display data about migrants now and in previous years throughout areas and regions. The approach presented here is based on using specific techniques to construct and support a database using GIS for monitoring patterns in migrant population movements. The major approach is to organize the information in multiple layers supported by PostgreSQL and PostGIS, so the system can store and search for geospatial and temporal features. Spatiotemporal modelling is used to track migration over time based on temporal logic which supports analysing and forecasting movement. We use information from the government census, mobile networks and special surveys and feed this data to an automated ETL pipeline. The pipeline takes advantage of Python, along with GDAL/OGR spatial tools, for data cleanup, standardization and the creation of a single schema. Performance is improved by using R-tree for space and B-tree for time indexing methods for efficient access to a broad range of data. An animated web interface created using Leaflet.js and D3.js makes it possible to see changes in migration, population and geographic patterns. The data processing system is registered in city traffic scenarios to see how effectively it can supply timely, meaningful details for policy-makers and planners. The system is shown to assist in informed making decisions because of its accurate analysis of time and place. It gives institutions and governments a way to enhance resources for monitoring migrants and creating plans, all with the help of advanced GIS technologies.