Spatial decision support

The Spatial decision support department a crucial role in supporting national decision-making through the application of geospatial science and technology. By providing high-quality evidence and intelligence, the department aids in disaster response efforts and facilitates spatial analysis, data production, and research and development. These contributions are vital for advancing the national digital economy and enhancing problem-solving and decision-making processes within the geospatial science and technology sector.

The department engages in various activities that address critical challenges and opportunities within the national context. It leverages geospatial data to inform policy decisions, optimize resource allocation, and improve service delivery. By fostering collaboration among stakeholders, including government agencies, private sector partners, and academic institutions, the department ensures that its initiatives align with national priorities and effectively address the needs of the community.

In addition to its primary functions, the department collaborates on various research initiatives and projects to improve infrastructure and services. One key initiative is developing a GIS-based integrated infrastructure management system. This system uses geographic information systems (GIS) for effective infrastructure management and planning, ensuring efficient resource use. The department also emphasizes geospatial intelligence, which leverages geospatial data to enhance situational awareness. This information is crucial for supporting national security and safety measures, particularly during emergencies.

Another important area of focus is the establishment of national regional spatial plans, which involve creating comprehensive spatial plans that guide regional development and resource management, promoting sustainable growth. The formulation of national land use plans is also critical, as it ensures sustainable land management and efficient resource allocation, balancing development with environmental protection. Additionally, the department implements systems for the spatial management of traffic and transportation data, improving mobility and reducing congestion.

To enhance urban planning and service delivery, the department is developing a digital addressing system that improves navigation and access to services. It also creates location-based asset management systems for tracking and managing assets based on their geographic locations, optimizing resource use and maintenance. Furthermore, the establishment of disaster early warning systems is a priority, enabling communities to prepare and respond effectively to emergencies.

The Spatial decision support department plays a crucial role in supporting national decision-making through the application of geospatial science and technology. plays a crucial role in supporting national decision-making through the application of geospatial science and technology. Department leads in using artificial intelligence and machine learning for spatial data analysis. These technologies enhance predictive capabilities and provide better insights for decision-making. Additionally, the department promotes smart city development by integrating technology and data into urban planning. This approach creates efficient, sustainable, and livable cities that enhance residents’ quality of life. Through these initiatives, the department ensures that geospatial science and technology are woven into national policies and practices. This integration ultimately contributes to the country’s development, resilience, and overall well-being.

Area of research and collaborations Spatial decision support

  • GIS based integrated infrastructure Management system
  • Geospatial intelligence
  • Establishment of National regional spatial plan
  • Establishment of National land use plan
  • Spatial management of traffic and transportation data
  • Digital Addressing system
  • Location based asset management system
  • Establishment of disaster early warning system
  • Artificial intelligence and machine learning based spatial data Analysis
  • Smart city development