2. Spatial Data Infrastructures and Analytical Platform

Spatial Data Infrastructures and Analytical Platform

SDI and integrated analytical platform to support implementation, benchmarking, measuring and monitoring the SDG indicators.

This project aims to investigate, formulate, and design methodologies and spatially enabled tools and an integrated platform to support implementation, measuring, monitoring and suggest improvements to achieve Agenda 2030 Sustainable Development Goals. The 2030 Agenda has been known as one of the significant global agreements and came into effect in 2016. In March 2017, the global indicator framework was developed by the UN in order to assess and benchmark the targets. The SDG’s dependency on geospatial information and enabling technologies is mainly due to the primary roles played by data and tools for relating people to their location, place and environment, and to measure ‘where’ progress is, or is not, being made, particularly at sub-national and local levels. However, in the pursuit for sustainable development, many countries and local jurisdictions continue to face a series of impediments that exacerbate their abilities and opportunities to participate fully in the implementation of the United Nations 2030 Agenda, to support national and local development, economic prosperity, and through that, a global and thriving information economy.

This research project will investigate the challenges in effective and sustained access to digital technology, the Internet of Things (IoT), to the provision and exploitation of new data needs, information systems, analytics and associated enabling tools, and technologies to support the timely and reliable implementation and monitoring of the progress in SDGs.

The world can be resilient and more sustainable and pleasing to live by 2030 if countries precisely align with SDG indicators.

The benefits of this platform include:

  • Enhancing the methodologies and implementation frameworks to support  evidence-based policy making towards achieving the SDGs
  • Formalising reusable geospatial tools for producing the SDG indicators, enabling benchmarking and comparison
  • Designing a dynamic platform rather than available static dashboards
  • Supporting national and local jurisdiction to improve their current static monitoring dashboards
  • Assisting governments to predict the future trends of SDG indicators

Research team

Prof Abbas Rajabifard

Dr Soheil Sabri

Assoc Prof Mohsen Kalantari

Zahra Assarkhaniki

Atie Asadikia

Industry partners and collaborating organisations

Land Equity International

United Nations

World Bank


Qiao, Y.-K., Peng, F.-L., Sabri, S., & Rajabifard, A. 2019. Low carbon effects of urban underground space. Sustainable Cities and Society. Sustainable cities and society. 45: 451–459.

Rabiee, M., Rajabifard, A., 2019. Smart sustainable cities for all: A socio-spatial approach, Coordinates Magazine.

Sabri, S., Ho, S., Rajabifard, A., 2018. Implementing the ‘20-minute neighbourhood’: Leveraging New Spatial Data and Technologies to Support Planning for a Sustainable Metropolitan Melbourne. In: China Architecture and Building Press.

Scott, G., Rajabifard, A., 2017. Sustainable development and geospatial information: a strategic framework for integrating a global policy agenda into national geospatial capabilities. Geo-spatial Information Science. 20:2. 59–7.

Nicolas, R.,  & Lacroix, P.,  Giuliani, G., Upla, P., Rajabifard, A., & Jensen, D., 2016. Open Spatial Data Infrastructures for the Sustainable Development of the Extractives Sector. In: Coleman, D., Rajabifard, A. & Crompvoets J. (Ed.). Spatial Enablement in a Smart World. [s.l.]: GSDI Association press.

Rajabifard, A., 2016. Integrating Geospatial Information into Sustainable Development Goals. Geospatial World Magazine.


Rajabifard, A., 2019. Strategic Pathways Towards Disaster Resilience- Leveraging National Land and Geospatial Systems. Paper presented at the FIG Working Week 2019, Hanoi, Vietnam.

González, L., Rajabifard, A., Paez, D., Sabri, S.  and Camacho, R., 2019. A Proposed Methodology to Assess Disaster Risk within a Land Use Cover Change Model, Contributing to SDGs - Case Study: Bogota, Colombia. Paper presented at the FIG Working Week 2019, Hanoi, Vietnam.

Agunbiade, M., Rajabifard, A., Oluyomi, A., 2019. Land Administration Integration Framework for Affordable Housing Production: the Roles of Spatial Data Infrastructures, Institutional Processes and Policies. Paper presented at the FIG Working Week 2019, Hanoi, Vietnam.