Spatial data utilization for location pattern analysis

Retail industry growth in Indonesia is considered significant and will continue, related to Indonesian lifestyle changes. One of the important things to consider is location determination. The complexity of the location determination problem for the development of a business requires a comprehensive decision support system, using relevant data and appropriate technology so that it can accommodate a variety of data formats and information. This paper described the spatial pattern analysis approach to discover patterns of fast food restaurants. ArcGIS Spatial Autocorrelation (Moran's I) tool was used to find evidence that the fast food restaurant distribution in Jakarta, as the biggest city in Indonesia, has a clustered pattern and were not the result of random chance. The clustered pattern was investigated using Kernel Density Estimation (KDE) to identify the clustered area of fast food restaurant.