How to analyse spatial distribution of crime? Crime risk indicator in an attempt to design an original method of spatial crime analysis
Bibliographic Data
| ID | 11455058 |
|---|---|
| Authors | Agnieszka Lisowska (0000-0002-0526-6460, University of Wrocław, corresponding author) |
| Year | 2022 |
| Volume | 120 |
| Pages | 103403 |
| Publication date | 2022-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cities (JOURNAL) |
| Journal identifiers | ISSN: 0264-2751 • E-ISSN: 1873-6084 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.cities.2021.103403 |
| OpenAlex | W3190215596 |
| Language | EN |
| Citations received | 2 |
| References cited | 9 |
Methodology is the cornerstone of all scientific research. It goes without saying that the research method will always be determined by the extent and form of the available data. It is of paramount importance, particularly in analysing complex phenomena with “resounding implications”. One of the obvious phenomena of this type is crime. This paper presents an overview of the existing methods used for spatial phenomena analysis in relation to the existing and available data, and discusses a newly developed solution for crime data analysis in the Polish setting
Business · Cornerstone · Crime analysis · Criminology · Data mining · Data science · Geography · Management science · Relation (database · Risk analysis (engineering · Sociology · Computer Science · Crime Patterns and Interventions · Data-Driven Disease Surveillance · Engineering · Spatial and Panel Data Analysis
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |