00000nam 2200000zi 4500 9.945643 CaOODSP 20250107144101 m o d f cr mn||||||||| 241127e20241127oncb obs f000 0 eng d CaOODSP eng rda CaOODSP n-cn-on y1y2 CS36-28-0001/2024-11-1E-PDF Brown, Matthew, author. Exploring property crime and business locations : using spatial analysis and firm count data to reveal correlations in Toronto, Ontario / by Matthew Brown, Mark Brown and Ryan Macdonald. [Ottawa] : Statistics Canada = Statistique Canada, November 27, 2024. ©2024 1 online resource (16 pages) : colour maps. text txt rdacontent computer c rdamedia online resource cr rdacarrier Economic and social reports, 2563-8955 ; v. 4, no. 11, November 2024 Issued also in French under title: Exploration des crimes contre les biens et de l'emplacement des entreprises : utilisation de l'analyse spatiale et des données sur le nombre d'entreprises pour révéler des corrélations à Toronto, en Ontario. "Catalogue no. 36-28-0001." "Research article." Includes bibliographical references (pages 15-16). "This article presents an exploratory analysis of the relationship between the population, firm counts andaverage property crime from 2017 to 2020 across the Toronto census metropolitan area (CMA). It combines datasets from different domains—crime, business counts and population data—using 500 m by 500 m spatial grids to explore their relationships. At this scale, residential and business land use can be at least partially separated, allowing the independent association between residential populations, business counts and crime to be measured and mapped across the Toronto CMA. This analysis provides a picture of the spatial pattern of crimes across the CMA, explores and validate the data by establishing expected baseline relationships, and points towards areas for more in-depth analysis to determine the relationship between crime and business outcomes. After accounting for the population of grid squares, a positive association between business counts and crime was found, consistent with previous work. Furthermore, after considering population and firm counts, statistically significant spatial clusters of high (and low) crime rates were found. This work therefore sets the foundation for future analysis that would examine how variations in crime rates across space and time affect business outcomes (e.g., firm profitability and exit)"--Abstract, page 1. Offenses against property Ontario Toronto Statistics. Industrial location Ontario Toronto Statistics. Spatial analysis (Statistics) Statistics lcgft Statistics Canada, issuing body. Exploration des crimes contre les biens et de l'emplacement des entreprises : (CaOODSP)9.945646 Economic and social reports (Statistics Canada) v. 4, no. 11, November 2024. (CaOODSP)9.895760 PDF 1.02 MB https://publications.gc.ca/collections/collection_2024/statcan/36-28-0001/CS36-28-0001-2024-11-1-eng.pdf HTML N/A https://doi.org/10.25318/36280001202401100001-eng 36-28-0001