Abstract The Dasymetric mapping method is used to estimate population density as the criteria for making decisions about public health planning. With this method, the Dasymetric mapping is one way to separate the data by demographic, education, space out how to release detailed data analysis unit as possible. To remove data for population and other information appended to achieve confidence in showing the distribution of population density rather than the municipality comes into the unit or area or areas.Application of information system for solving health problems and resolve public health. They relate to the questions that we are able to analyze the distribution of the population, patients with high blood pressure disease. Diabetics Patients with both diseases patients From the demographic data for each House by studying the details of the population based on demographic characteristics, social information of the person, because such variables are associated with a complex feature space and evaluation of the density of the population in each area from various information from the relevant authorities. We will use the density is an important criteria in making decisions about public health planning. All of this will be in the system analysis with the data that is related to population data. The relationship of health to the population data will have two methods proposed by coming out in a format map. The first method calculates the total The second method is to calculate the areas with patients only. To show the difference of the Dasymetric mapping information by means of a Community model annexed and other information presented through detailed map for commercial space in each area. By population, the area is divided by the population, area, we will bring the population of the area only. (Polygon) called the Dasymetric mapping method and comparison of two methods to make the difference. Method 1 is to make a crude map (Classic), the second is to make Dasymetric map of how the objective 2: to check the density of population in the investigation areas that have very little difference? For this research, we believe that the population density of the area, the area in which service exact thickness. Affect the health of population density, however in a different area, there are two ways to make a difference how much.
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