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首页> 外文会议>SIBGRAPI Conference on Graphics, Patterns and Images >MSKDE - Using Marching Squares to Quickly Make High Quality Crime Hotspot Maps
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MSKDE - Using Marching Squares to Quickly Make High Quality Crime Hotspot Maps

机译：MSKDE-使用行军广场快速制作高质量的犯罪热点地图

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摘要

In recent years, violence has considerably increased in the world. In a certain state of Brazil, for example, the homicide rate grew from 16 homicides per 100,000 inhabitants in 2000, to 48 homicides per 100,000 inhabitants in 2014. Police departments worldwide use various types of crime maps, which are generated with diverse techniques, in order to analyze and fight crime. Those types of maps enable decision makers to identify high-risk areas and to allocate resources more effectively. Hotspot maps, in particular, are crime maps often available in visual interactive systems for crime analysis. In order for hotspot maps to be really useful, they need to be very accurate - specially for resource allocation tasks - and to be processed very fast for quick analysis of different scenarios. In this paper, we propose MSKDE - Marching Squares Kernel Density Estimation, a solution for generating fast and accurate hotspot maps. We describe the technique and demonstrate its superior qualities through a careful comparison with the standard Kernel Density Estimation technique, which is widely used for generating hotspot maps.
机译：近年来，世界范围内的暴力活动已大大增加。例如，在巴西的某个州，凶杀率从2000年的每10万居民16起凶杀案，上升到2014年的每10万居民48起凶杀案。为了分析和打击犯罪。这些类型的地图使决策者能够识别高风险区域并更有效地分配资源。特别是热点地图，通常是可视化交互式系统中用于犯罪分析的犯罪地图。为了使热点地图真正有用，它们必须非常准确-特别是对于资源分配任务-并且必须非常快速地处理以快速分析不同情况。在本文中，我们提出了MSKDE-Marching Squares核密度估计，这是一种用于生成快速而准确的热点地图的解决方案。通过与标准内核密度估计技术进行仔细比较，我们描述了该技术并展示了其卓越的品质，该技术被广泛用于生成热点地图。

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