Analysis Distribution of Traders and Population Density using Exploratory Spatial Data Analysis (Case: Dharmasraya District of West Sumatera Province)

Abstract

Population is one of the main factors that impact the growth of trader in one region, as well as Dharmasraya, a city near the province of west sumatera. The population in Dharmasraya continues to increase with growth rate around 2.78% per year until 2016, therefore the government need to concern a methods to monitor the spread of traders and residents. The aim of this paper is to present spatial analysis to analyze the distribution of traders and population. Spatial analysis data requiring Exploratory Spatial Data Analysis (ESDA) to see the patterns of population density and traders, spatial analysis assumes the spatial correlations between regions as a research objects. The distribution of traders and population in a sub-districts will be affecting the other sub-districts. In order to find out the relationship between traders and the population, this research will be using Spatial Lag Autocorrelation and spatial error autocorrelation to determine spatial interaction, and also by using Univariate Moran I for global spatial autocorrelation. Methods based on administrative boundaries are added to this analysis as a matrix weight for comparison with existing methods in ESDA tools. The results of spatial exploration in population density data and the traders in Dharmasraya resulting in some spatial grouping. The spread of population and traders in 2016 is significantly positive, meaning that there is a similarity of values from adjacent and clustered locations. Thus, this paper is able to contribute to the government of Dharmasraya in monitoring the spread of population and traders.