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The Homeless Distribution Is Tested Using Spatial- Auto Correlation Analysis Essay

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The homeless distribution was tested using spatial- auto correlation analysis (SACA). Near analysis was used to calculate the average distance between the homeless individuals and the closest feeding service and shelters in each of the six San Diego County regions. Furthermore, the ratio of total number of homeless individual per bed was calculated to determine whether or not there is an adequate supply of beds. The prevalent count was performed on Jan 29, 2016, from roughly 4 AM to 7 AM and covered 585 areas. This led to a visible count of homeless individuals and family members living on the streets, in automobiles, illegal camping, and other areas not intended for sleeping. Volunteers were all assigned to different areas collecting information based on a survey questionnaire and interviewing some individuals. Each team was then given a map of the census track. Categories indicated the location on the map of where homeless individuals are seen, either on the street, in a car, or tent/ hand-built framework. The volunteers are required to view an online training component the week of the PIT that goes over the charts, safety, and other protocols. Volunteers interviewed 24% of all homeless individuals counted to collect information on demographics, age, and locations. PITC provides information regarding numbers and features of people suffering from being homeless in San Diego on a single night. Unique initiatives were made to study a sample of all unsheltered homeless in

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