Assessing Indonesia Spatial Data Infrastructure Using R for Disaster Management

Zakiul Fahmi Jailani


Indonesia is a country with high disaster risk, entitled to ring of fire as one of the countries, which are surrounded by tectonic plates. The country has been exposed to natural hazards for decades. However, every time the natural hazard hits, the number of casualties remains huge. There is a serious question on how disaster management is going on in Indonesia and what knowledge could help to minimize or even prevent such huge casualties in any disaster occurrences. Big data can be a new approach towards natural disaster management mainly because it has the ability to visualize, analyze, and predict natural disasters. In the openly big data era, it is rather easy to process data with open-source software for managing the post-disaster as well as pre-disaster effect. The question remaining is how well the data is, which will be processed. This paper aims to appraise the quality of Indonesia's spatial data infrastructure using the R programming language in order to address natural disaster management and eventually lower the impact of the disaster. Some of the assessment criteria used in this paper are metadata of the data, positional accuracy, and completeness. The article concludes that Indonesia, as a country with high level of exposure to natural hazards, still lacks in NSDI quality, especially in providing disaster data. The most damaged buildings in Palu, with 2,416 damaged buildings affected. The sub-district of Nunu has the lowest number, with only 1 building damaged. The number of sub-districts with damaged buildings in Palu is 14 of the total 43 sub-districts.


disaster; R language; NSDI; spatial data infrastructure.

Full Text:



N. Koseleva, and G. Ropaite, "Big data in building energy efficiency: understanding of big data and main challenges," Procedia Engineering, vol. 172, pp. 544-549, 2017.

Mijić, M.S.N., Geod, D.E., Šestić, M. and El, D.E., 2018. “Future development of NSDI based on the European INSPIRE Directive–A case study of a Bosnian and Herzegovinian geoportal,†International Journal Of Spatial Data Infrastructures Research, 13, pp.315-338.

Masser, I., 1999. “All shapes and sizes: the first generation of national spatial data infrastructures,†International Journal of Geographical Information Science, 13(1), pp.67-84.

Centre for Research on the Epidemiology of Disasters (CRED), “EM-DAT: The OFDA/CRED International Disaster Database,†Belgium: Catholic University of Leuven, 2015.

CRED, “Disasters in Numbers,†Centre for Research on the

Epidemiology of Disasters–CRED, 2015.

M. Ratiani, et al., “Teaching Disaster Risk Reduction with Interactive Methods: Book for Head of Class Teachers (Grades V-IX),†UNICEF, National Curriculum and Assessment Centre, 2011.

Cummins, P.R., 2017. “Geohazards in Indonesia: Earth science for disaster risk reduction–introduction,†Geological Society, London, Special Publications, 441(1), pp.1-7.

S. Hans-Jörg, "Quality assessment of volunteered geographic information using open Web map services within OpenAddresses," Proceedings of Geospatial Crossroads@ GI_Forum 11, 2011.

ISO I. 19157: 2013: Geographic Information—Data Quality. ISO-standard and Swedish SIS standard. 2013.

Li, C.Q., Nagamori, M. and Sugimoto, S., 2015, October. “Temporal interoperability of metadata: An interoperablity-based view for longevity of metadata,†in Proceedings of 6th International Conference on Asia-Pacific Library and Information Education and Practice (pp. 212-222).

Pacheco-González, R., Ellwood, E., Exeter, D., Stewart, A.W., Asher, I. and ISAAC Phase Three Study Group, 2016. “Does urban extent from satellite images relate to symptoms of asthma, rhinoconjunctivitis and eczema in children? A cross-sectional study from ISAAC Phase Three,†Journal of Asthma, 53(8), pp.854-861.

Yudono, A., 2015. “Potential National Spatial Data Infrastructure (NSDI) and Volunteered Geographic Information (VGI) Integration To Achieve Seamless-Updating-Reliable Spatial Planning Information From National Through Local Governance Level In Indonesia,†Geomatika, 21(2), pp.115-130.



  • There are currently no refbacks.

Published by INSIGHT - Indonesian Society for Knowledge and Human Development