Spatial Data Clustering and Zonation of Earthquake Building Damage Hazard Area
The Paper presented at International Conference on Advance Science and Contemporary Engineering (ICASCE 2013) and published in journal of EPJ Web of Conferences (Springer) - Index in Scopus
By Edy Irwansyah dan Edi Winarko
Research conducted with the aim to develop
spatial data cluster and analyse the characteristics of each cluster of data in
order to develop spatial zonation of building damage hazard caused by the
earthquake in the city of Banda Aceh. The data used consists of the data peak ground
acceleration (PGA), lithology and topographic zone data with the four phases of
the study consisted of data normalization with min-max method, determination of
optimum data group with the connectivity index, Dunn index and the Silhouette
index, clustering of data with the k-Means
algorithm and the data interpolation using kriging algorithm to construct the zonation
of hazard area. The optimum numbers of clusters used in these researches are
two, with the first 170 data largely concentrated at a distance of less than
0.1 to 0.5 from the cluster centre and the second 55 others data concentrated
at a distance of 0.3 - 0.5 from the cluster centre. Banda Aceh and surrounding
areas can be spatially divided into two classes of potential building damage
caused by the earthquake with high hazard class of building damage are generally
located close to the coastline.
By Edy Irwansyah dan Edi Winarko
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjeTe7WMAEHDWq5vLzL3-4NjE_ndRrWDaK18QtbVl3ek6QqhH5bbA29ti8pcyOdNsorSIrC6z_8Eckg7MsfDYK91fc9Fc2E-_7TAXGAWrfyOEIyXSUxyYqRKH-Etz7CngQ5LnynEzbe_koE/s1600/Gambar.gif)
Document URL : http://www.epj-conferences.org/articles/epjconf/pdf/2014/05/epjconf_icas2013_00005.pdf
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