Spatial Analysis by Using Moran’s I and Geary's C (Case Study of the Spread of Hiv/Aids in Makassar)
Spatial analysis is a technique or process which involves a number of counts and evaluation of logic (mathematical) to find a relationship or pattern among the geographical elements. The main principle of spatial analysis is to consider the relationship among the regions based on the spatial data. Case study of this research is the spread of HIV / AIDS in Makassar city (Indonesia). AIDS is a decrease in body endurance due to infection by the Human Immunodefiency Virus (HIV), so that the patient will be prone to be infected by the other diseases. The spread of HIV/AIDS varies from one place to another, so that the space component should also be considered. This research aimed to find out whether or not there are inter-regional spatial autocorrelation, the spatial patterns, and mapping the spread of HIV/AIDS in Makassar in 2011 and 2012 using the Moran’s I and Geary's C method and ArcGIS 9.3 and GeoDa software. The result of the research by using Morans’I showed that there was no spatial autocorrelation in the spread of HIV / AIDS in 2011 and 2012 with a random spatial pattern, while the different result was shown by using the Geary's C, indicates that there is a positive spatial autocorrelation. In other words, the spread of HIV / AIDS by the method of Geary's C is a group (cluster). The results show that the mapping using GeoDa significant areas prone to be infected with HIV / AIDS in 2011 and 2012 is the District Biringkanaya.
Keywords: Spatial Autocorrelation, Morans'I and Geary's C, Morans Scatterplot, HIV/ AIDS, ArcGIS 9.3 and GeoDa Software.