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Migrant deaths at the Arizona–Mexico border: Spatial trends of a mass disaster

机译:在亚利桑那州 - 墨西哥边境的移民死亡:大规模灾难的空间趋势

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Highlights ? Spatial data from migrant deaths at the Arizona–Mexico border are explored. ? GIScience was used to document how migrant death locations have varied over time. ? Uncertainty and positional inaccuracy is noted that impacts data interpretation. ? Standardized protocol for recording spatial data and meta-data is recommended. Abstract Geographic Information Science (GIScience) technology has been used to document, investigate, and predict patterns that may be of utility in both forensic academic research and applied practice. In examining spatial and temporal trends of the mass disaster that is occurring along the U.S.–Mexico border, other researchers have highlighted predictive patterns for search and recovery efforts as well as water station placement. The purpose of this paper is to use previously collected spatial data of migrant deaths from Arizona to address issues of data uncertainty and data accuracy that affect our understanding of this phenomenon, including local and federal policies that impact the U.S.–Mexico border. The main objective of our study was to explore how the locations of migrant deaths have varied over time. Our results confirm patterns such as a lack of relationship between Border Patrol apprehensions and migrant deaths, as well as highlight new patterns such as the increased positional accuracy of migrant deaths recorded closer to the border. This paper highlights the importance of using positionally accurate data to detect spatio-temporal trends in forensic investigations of mass disasters: without qualitative and quantitative information concerning the accuracy of the data collected, the reliability of the results obtained remains questionable. We conclude by providing a set of guidelines for standardizing the collection and documentation of migrant remains at the U.S.–Mexico border.
机译:强调 ?探索了来自亚利桑那州墨西哥边境的移民死亡的空间数据。还GISCINGS用于记录移民死亡位置如何随着时间的推移而变化。还注意到不确定性和位置不准确,影响数据解释。还建议使用标准化的录制空间数据和元数据的协议。摘要地理信息科学(GISCICES)技术已被用于记录,调查和预测可能在法医学研究和应用实践中具有效用的模式。在审查沿美国墨西哥边境发生的群众灾害的空间和时间趋势时,其他研究人员突出了搜索和恢复工作以及水站的预测模式。本文的目的是利用来自亚利桑那州的先前收集的移民死亡的空间数据,以解决影响我们对这种现象的理解的数据不确定性和数据准确性的问题,包括影响美国 - 墨西哥边境的地方和联邦政策。我们研究的主要目标是探讨移民死亡的位置随着时间的推移而变化。我们的成果确认了边境巡逻队逮捕和移民死亡之间缺乏关系,以及突出新的模式,如移民死亡的程度增加的程度提高到边界。本文突出了使用定位准确数据来检测质量灾害的法医调查中的时空趋势的重要性:没有收集数据的准确性的定性和定量信息,所获得的结果的可靠性仍然是可疑的。我们通过提供一套标准化移民的集合和文件的指导方针,仍然是美国墨西哥边境。

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