Accesso libero

Study on crime trend analysis and countermeasures based on law enforcement databases

Zexin Liu

Zexin Liu

The School of Policing Studies, Shanghai University of Political Science and LawChina
Cerca questo autore su
Sciendo|Google Scholar
Liu, Zexin
 e 
Zhuqiang Ye

Zhuqiang Ye

School of Law, Shanghai University of Political Science and LawChina
Cerca questo autore su
Sciendo|Google Scholar
Ye, Zhuqiang
  
29 set 2025
Study on crime trend analysis and countermeasures based on law enforcement databases's Cover Image
INFORMAZIONI SU QUESTO ARTICOLO
Articolo precedente
Articolo Successivo
Cita
Scarica la copertina
Pubblicato online: 29 set 2025
Ricevuto: 20 dic 2024
Accettato: 18 apr 2025
DOI: https://doi.org/10.2478/amns-2025-1128
Parole chiave
© 2025 Zexin Liu and Zhuqiang Ye, published by Sciendo.
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Feature enhancement
Feature enhancement

Figure 2.

Process of the first phase of convolution
Process of the first phase of convolution

Figure 3.

The second stage process of convolution
The second stage process of convolution

Figure 4.

Classification of case types
Classification of case types

Figure 5.

Statistical results of the number of theft crimes in each area of City B
Statistical results of the number of theft crimes in each area of City B

Figure 6.

Two-dimensional color matrix of thefts
Two-dimensional color matrix of thefts

Figure 7.

Temporal distribution of theft crimes at multiple time scales
Temporal distribution of theft crimes at multiple time scales

Figure 8.

Spatial distribution of standardized crime rate
Spatial distribution of standardized crime rate

Figure 9.

Results of local Moran index for theft crime cases
Results of local Moran index for theft crime cases

Figure 10.

Crime distribution in different periods
Crime distribution in different periods

Figure 11.

Model fitting curve
Model fitting curve

Processed data information (part)

Property Example
Serial number 56
Case number A12**********74
Case category Theft case
Case category 2 Burglary at home
Occurrence time start 2023/7/11
Duration 3:22(h)
Time of incident Antemeridian
Day of week Thursday
Address ***Village***number
Longitude of the place of attack 118.3***
The dimension of the crime place 33.5***
Type of premises Residential residence
Community name ***Street
Jurisdiction ***Area
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
Feed RSS della rivista