Spatial Distribution of Crimes Against Property: A Case Study in Nakhon Pathom Province
DOI:
https://doi.org/10.53848/ssstj.v10i2.434Keywords:
Crimes against property, Geo-statistic analysis, Moral’s I, Getis-Ord Gi, Standard deviational ellipseAbstract
Crimes against property were correlated with the recession of the economy. According to the Royal Thai Police report, crimes against property continue to increase. The criminal statistics showed that the second-highest number of crimes against property was found in Nakhon Pathom Province. The purposes of this study were to 1) examine the pattern of crimes against property using Moran’s I, 2) investigate the spatial distribution of crimes against property using Getis-Ord Gi*, 3) find out the directional distribution of crimes against property using a standard deviational ellipse, and 4) explore the spatial relationship between crimes against property, land use, and population density. Secondary data on crime cases were collected from the Mueang Nakhon Pathom Police Station criminal report book between 2013 and 2018 and then converted to spatial data. The results of the study were as follows: 1) The pattern of the cases over 5 years was clustered; 2) the spatial distribution of cases revealed hotspot areas with a GiZscore greater than 1.65 over 5 years covering residential and village areas, city and town areas, commercial areas, entertainment venues, local education institutes, the boulevard, dark alleys, and deserted streets; 3) the directional distribution of the cases over 5 years was distributed to the west of the study area; and 4) urban and built-up land was discovered where most cases occurred. Overall, the crimes against property clustered around crowded residential areas and villages, dark alleys, and deserted streets. This study facilitates investigations, defense, and control of crimes against property.
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