The last topic that I learn is areal data analysis. In this topic I learn about moran’s l autocorrelation, Geary’s C autocorrelation, and Joint count statistic. All the autocorrelation is important in our life because we use it every day. For joint count, it is a simplest way of quantitatively measuring spatial autocorrelation for a set of spatially adjacent polygons. It used black and white, black black, or white white. Moran mainly used for interval or ratio type of data, and it is a easiest way to solve is by using spatial weighted matrix it also used hypothesis testing. Last but not least, geary’s c. It same as Moran’s l. it also used hypothesis testing at the last calculation and have the little bit different with moran.
