{"title":"基于国家安全风险地图数据的克拉科夫部分犯罪类别空间分析","authors":"Agnieszka Polończyk, A. Leśniak","doi":"10.1109/BGC-GEOMATICS.2018.00010","DOIUrl":null,"url":null,"abstract":"The article presents the results of a study on the spatial distribution of acts of vandalism and alcohol consumption in prohibited areas. The study made use of data on offences committed in Krakow, reported by citizens of the city and illustrated on an interactive map - the National Safety Risk Map. The gathered data was calibrated and generalised. Then, a map was prepared illustrating the spatial distribution of both categories of offences in different sub-districts in Krakow, as well as a choropleth map of both types of offence. Two methods were used for examining the interrelationship between these offences - regression analysis using the Poisson regression model with a linear correction of the dispersion and dual kernel density estimation with a \"hot spot\" analysis. The study constitutes the first systematic attempt to analyse NSRM data with regard to the spatial distribution and spatial co-occurrence of two common offences in Krakow.","PeriodicalId":145350,"journal":{"name":"2018 Baltic Geodetic Congress (BGC Geomatics)","volume":"186 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Spatial Analysis of Selected Categories of Offences in Krakow Based on Data from the National Safety Risk Map\",\"authors\":\"Agnieszka Polończyk, A. Leśniak\",\"doi\":\"10.1109/BGC-GEOMATICS.2018.00010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents the results of a study on the spatial distribution of acts of vandalism and alcohol consumption in prohibited areas. The study made use of data on offences committed in Krakow, reported by citizens of the city and illustrated on an interactive map - the National Safety Risk Map. The gathered data was calibrated and generalised. Then, a map was prepared illustrating the spatial distribution of both categories of offences in different sub-districts in Krakow, as well as a choropleth map of both types of offence. Two methods were used for examining the interrelationship between these offences - regression analysis using the Poisson regression model with a linear correction of the dispersion and dual kernel density estimation with a \\\"hot spot\\\" analysis. The study constitutes the first systematic attempt to analyse NSRM data with regard to the spatial distribution and spatial co-occurrence of two common offences in Krakow.\",\"PeriodicalId\":145350,\"journal\":{\"name\":\"2018 Baltic Geodetic Congress (BGC Geomatics)\",\"volume\":\"186 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Baltic Geodetic Congress (BGC Geomatics)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BGC-GEOMATICS.2018.00010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Baltic Geodetic Congress (BGC Geomatics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BGC-GEOMATICS.2018.00010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Spatial Analysis of Selected Categories of Offences in Krakow Based on Data from the National Safety Risk Map
The article presents the results of a study on the spatial distribution of acts of vandalism and alcohol consumption in prohibited areas. The study made use of data on offences committed in Krakow, reported by citizens of the city and illustrated on an interactive map - the National Safety Risk Map. The gathered data was calibrated and generalised. Then, a map was prepared illustrating the spatial distribution of both categories of offences in different sub-districts in Krakow, as well as a choropleth map of both types of offence. Two methods were used for examining the interrelationship between these offences - regression analysis using the Poisson regression model with a linear correction of the dispersion and dual kernel density estimation with a "hot spot" analysis. The study constitutes the first systematic attempt to analyse NSRM data with regard to the spatial distribution and spatial co-occurrence of two common offences in Krakow.