A. Selection of Global Phenomenon
Considering recent series of disasters with global impact, our team was immediately drawn to pursue something related to one of the natural disasters for our assignment on Geospatially Enabled Analysis and Visualisation of a Global Phenomenon. After exploring the internet for data sources on disasters, and experimenting on various tools (Carto, SPSS, Tableau, and ArcGIS for Desktop), we eventually decided to look at earthquakes – to apply the concepts of geospatial analytics and geovisualisation to analyse earthquake patterns and its impact.
B. Geospatial Data Collection
We discovered and downloaded a lot of information and databases on earthquakes, but realised that many of them are not compatible and readily useful.
Using Excel and ArcGIS tools, we did geoprocessing – including cross-validation across sources, conversion of data types, data transformation (geo-referencing, geocoding) as well as creating layers and joining/relating databases.
C. Geospatial Analytics & Visualisation
To analyse patterns, we focused on the geographical location, distribution, and temporal changes of earthquakes. Using geospatial analytics tools, our analysis enabled us to address the following queries:
- Where do earthquakes usually occur?
- Are they spatially clustered or dispersed?
- Where are earthquakes strongest?
- Are big earthquakes concentrated in specific locations?
- Why do they occur at these locations?
- How has earthquake pattern changed over time?
- How has earthquake pattern changed over space?
Our study of the impact of earthquakes, using geographical association & interaction tools, allowed us to answer the following queries:
8. Which countries are more susceptible to big earthquakes?
9. What are the consequences of earthquakes?
10. What other hazards occur with earthquakes?
11. How do we prepare for earthquakes?
Our study made us realise that earthquakes are ongoing all the time. Although many are too small to be felt; we need to stay vigilant and know what to do when a big one happens.
All maps used in this report were generated by the group. The map is available at ArcGIS online; it can be downloaded and opened using ArcGIS for Desktop.
Earthquake, an EBAC Geospatial Project
Dr Acebedo, Cleta Milagros Libre
Jun Yu, Thomas
Sulaiman Ahamed Moosa
Disclaimer: The maps are purely for academic purposes only, in partial fulfillment of the requirements of the NUS ISS MTech Enterprise in Business Analytics – Data Analytics Module. Our work was based on third party information and we do not claim any authority on the subject matter. Authenticity of third party data was not validated. The maps should be treated to contain dummy data for an academic exercise.