Identifying seasonal spatial patterns of crime in a small northern city
نویسندگان
چکیده
Abstract Objectives To explore spatial patterns of crime in a small northern city, and assess the degree similarity these across seasons. Methods Calls for police service frequently associated with (theft, break enter, domestic dispute, assault, neighbor disputes) were acquired five year time span (2015–2019) city North Bay, Ontario, Canada (population 50,396). Exploratory data analysis was conducted using descriptive statistics kernel density mapping technique. Andresen’s point pattern test (SPPT) then used to between seasonal (spring, summer, autumn, winter) each call type at two different scales (dissemination area census tract). Results concentration street segments showed that calls are generally more dispersed through warmer seasons spring summer. Kernel also shows increases intensity hotspots times, but little overall change pattern. The SPPT does find some evidence differences as whole, specifically thefts enters. These focused on downtown core, well outlying rural areas city. Conclusions For various types examined, preliminary analysis, mapping, found consistent routine activities theory.
منابع مشابه
Identifying spatial and seasonal patterns of river water quality in a semiarid irrigated agricultural Mediterranean basin.
A detailed understanding of the study area is essential to achieve key information and optimize the monitoring, analysis, and evaluation of water quality of natural ecosystems that have been highly transformed into agricultural areas. Using classification techniques like the hierarchical cluster analysis (CA) and partial triadic analysis (PTA), we assessed the sources of water pollution and the...
متن کاملExtraction of Drug Crime Patterns and Identifying People at Risk Using Data Mining Techniques
Introduction: In recent years, technology advancement and the growth of information technology in organizations have provided a huge source of data stored in the field of drug-related offenses. Analyzing these data and discovering hidden patterns in it can help detect and prevent the occurrence of crimes in this area. This paper aimed to identify the susceptible people to drug trafficking in Si...
متن کاملExtraction of Drug Crime Patterns and Identifying People at Risk Using Data Mining Techniques
Introduction: In recent years, technology advancement and the growth of information technology in organizations have provided a huge source of data stored in the field of drug-related offenses. Analyzing these data and discovering hidden patterns in it can help detect and prevent the occurrence of crimes in this area. This paper aimed to identify the susceptible people to drug trafficking in Si...
متن کاملanalyzing patterns of classroom interaction in efl classrooms in iran
با به کار گیری روش گفتما ن شنا سی در تحقیق حا ضر گفتا ر میا ن آموزگا را ن و زبا ن آموزا ن در کلا سهای زبا ن انگلیسی در ایرا ن مورد بررسی قرار گرفت. ا هداف تحقیق عبا رت بودند از: الف) شنا سا ئی سا ختارهای ارتبا ط گفتا ری میا ن معلمین و زبا ن آموزا ن ب) بررسی تا ثیر نقش جنسیت دبیرا ن و زبا ن آموزان بر سا ختا رهای ارتبا ط گفتا ری میا ن آنها پ) مشخص کردن اینکه آ یا آموزگاران غا لب بر این ارتبا ط گف...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Crime Science
سال: 2021
ISSN: ['2193-7680']
DOI: https://doi.org/10.1186/s40163-021-00161-w