03142ntm a22005057i 4500 000723901 CZ-PrVSE 20250621144446.0 m d cr n|||||||||| 250621s2025 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Hatiarová, Dominika ISIS:169524 dis Prostorová analýza kriminality na základě otevřených dat Policie České republiky eng Spatial Analysis of Criminality Based on Open Data of Czech Police (PČR) / Dominika Hatiarová 2025 ?? stran : digital, PDF soubor Vedoucí práce: Jindřich Lacko Bakalářská práce (Bc.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2025 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2025 This thesis aims to examine the effects of various socioeconomic factors on the prevalence of drug-related criminal offenses in the Czech Republic and to uncover the most problematic geographical areas. The methodology is based on the application of exploratory spatial data analysis techniques and statistical modeling, including the use of spatial econometric models and models for count data. The analysis reveals three clusters of administrative units exhibiting elevated crime rates, all located in the northern or north-eastern regions of Czechia. The results of the regression analysis based on the negative binomial model indicate that the divorce rate, and the proportion of young men and individuals with low education in the population significantly increase drug-related crime rates. The positive effect of the unemployment rate is not found to be statistically significant. A change in the share of foreigners and the number of living allowances per 1000 inhabitants is associated with a decrease in the crime rate; however, both of these effects are likewise shown to be insignificant. Způsob přístupu: Internet ekonometrie a operační výzkum [obor bakal. práce] bakalářské práce fd132403 czenas bachelor's theses eczenas drug-related criminality negative binomial model regression analysis spatial econometrics Lacko, Jindřich xx0313067 ths Formánek, Tomáš ISIS:46723 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/91111/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/91111 Hlavní práce https://insis.vse.cz/zp/91111/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/91111/posudek/oponent/86713 Oponentura https://insis.vse.cz/zp/91111/podrobnosti dc:identifier NEPOSILAT VSKP vse91111 250619 91111