{"title":"编辑","authors":"I. Banks, T. Pollard","doi":"10.1080/15740773.2017.1443564","DOIUrl":null,"url":null,"abstract":"This issue of the Journal is slightly thematic: two LiDAR-based papers and one using KOKOA (which uses some insights derived from LiDAR data). Effectively, we have three papers that are looking at different ways to investigate and understand conflict landscapes. All three papers provide an exciting introduction to what can be done, applying new ways of looking and thinking about conflict and the landscapes in which conflicts take place. The paper by Nico Roymans, Bart Beex and Jan Roymans looks at a conflict that rarely produces much archaeological research, the conflict that resulted in the separation of the Netherlands and Belgium into independent kingdoms between 1830 and 1839. The study is also of conflict-related archaeology rather than a battlefield, as it looks at the camps of the Dutch army and compares them to Napoleonic French army camps. This is a clear example of the power of LiDAR, where large areas can be covered rapidly, and at a very high resolution that records the very subtle traces left by the features of the camp. Terrestrial survey would miss much of this, and an effective survey would be prohibitively expensive and time-consuming. The LiDAR data provide beautiful images with stunning clarity, which can then be matched against the contemporary plans of the camps. The second paper is also on the subject of LiDAR imaging, and is by Max van der Schriek and Willem Beex. The focus of this paper is the traces of fuel dumps, ammunition stores, foxholes and so forth from the German occupation in the Second World War; these are features similar to those that have been discussed in papers in previous issues, most recently in issue 12.1 by Passmore et al. (2017). Van der Schriek and Beek look at the LiDAR images of the German features, with earlier features also visible. The paper also goes into detail about the way in which LiDAR data is gathered, and the potential issues that there might be with the images that result. The images are again very striking and show what can be done with LiDAR in the best conditions. The final paper is from Craig Brown, Jesús Torres-Martínez, Manuel Fernández-Götz and Antxoka Martínez-Velasco. Rather than focusing on LiDAR, this paper uses data from excavations, surveys and LiDAR to inform a KOKOA analysis of the fighting around Bergida in the Roman period. This is a very welcome paper for the journal: we rarely get papers from Classical sites, but it is also a paper that puts KOKOA into practice. The conflict landscape is analysed through this US Army approach, allowing the archaeologists to develop a deeper understanding of the nature and course of the fighting than the artefact distributions and texts could provide on their own. It could be argued that KOKOA just provides a justification for the instincts of the archaeologists, but it does provide a framework for asking questions and developing answers about that landscape. These papers give a strong indication of the potential for conflict archaeology of these techniques. At the time of writing this editorial, there is a great deal of interest in LiDAR, with the publicising of results from the rain forest of Guatemala showing Mayan cities to be far larger than previously believed. The story has been all over the media, and there have been TV documentaries on the subject. However, as the Van der Schriek and Beek paper reveals, the LiDAR story is not entirely straightforward. While the technique can remove tree cover from the ground because some of the light signal will reach the ground, it can be problematic. The denser the tree coverage, the fewer points of measurement result. 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Terrestrial survey would miss much of this, and an effective survey would be prohibitively expensive and time-consuming. The LiDAR data provide beautiful images with stunning clarity, which can then be matched against the contemporary plans of the camps. The second paper is also on the subject of LiDAR imaging, and is by Max van der Schriek and Willem Beex. The focus of this paper is the traces of fuel dumps, ammunition stores, foxholes and so forth from the German occupation in the Second World War; these are features similar to those that have been discussed in papers in previous issues, most recently in issue 12.1 by Passmore et al. (2017). Van der Schriek and Beek look at the LiDAR images of the German features, with earlier features also visible. The paper also goes into detail about the way in which LiDAR data is gathered, and the potential issues that there might be with the images that result. The images are again very striking and show what can be done with LiDAR in the best conditions. The final paper is from Craig Brown, Jesús Torres-Martínez, Manuel Fernández-Götz and Antxoka Martínez-Velasco. Rather than focusing on LiDAR, this paper uses data from excavations, surveys and LiDAR to inform a KOKOA analysis of the fighting around Bergida in the Roman period. This is a very welcome paper for the journal: we rarely get papers from Classical sites, but it is also a paper that puts KOKOA into practice. The conflict landscape is analysed through this US Army approach, allowing the archaeologists to develop a deeper understanding of the nature and course of the fighting than the artefact distributions and texts could provide on their own. It could be argued that KOKOA just provides a justification for the instincts of the archaeologists, but it does provide a framework for asking questions and developing answers about that landscape. 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引用次数: 0
摘要
本期杂志的主题略有不同:两篇基于激光雷达的论文和一篇使用KOKOA的论文(使用了从激光雷达数据中获得的一些见解)。实际上,我们有三篇论文正在研究调查和理解冲突景观的不同方法。这三篇论文都令人兴奋地介绍了可以做什么,应用了看待和思考冲突的新方法以及冲突发生的环境。Nico Roymans、Bart Beex和Jan Roymans的这篇论文着眼于一场很少产生太多考古研究的冲突,这场冲突导致荷兰和比利时在1830年至1839年间分裂为独立王国。这项研究也是关于冲突相关的考古,而不是战场,因为它观察了荷兰军队的营地,并将其与拿破仑时期的法国军队营地进行了比较。这是激光雷达力量的一个明显例子,在激光雷达中,可以快速覆盖大片区域,并以非常高的分辨率记录营地特征留下的非常细微的痕迹。陆地调查将错过其中的大部分,而一项有效的调查将耗资巨大且耗时。激光雷达的数据提供了具有惊人清晰度的美丽图像,然后可以与营地的当代计划相匹配。第二篇论文也是关于激光雷达成像的,作者是Max van der Schriek和Willem Beex。本文的重点是第二次世界大战中德国占领时期的燃料堆、弹药库、散兵坑等遗迹;这些特征与前几期论文中讨论的特征相似,最近一期由Passmore等人在第12.1期中讨论。(2017)。范德施里克和比克观察了德国特征的激光雷达图像,早期特征也可见。本文还详细介绍了激光雷达数据的收集方式,以及由此产生的图像可能存在的潜在问题。这些图像再次非常引人注目,展示了在最佳条件下使用激光雷达可以做些什么。最后一篇论文来自Craig Brown、Jesús Torres Martínez、Manuel Fernández-Götz和Antxoka Martí的nez Velasco。本文没有关注激光雷达,而是使用挖掘、调查和激光雷达的数据来为KOKOA对罗马时期贝尔吉达周围战斗的分析提供信息。这是一篇非常受欢迎的论文:我们很少从古典网站上获得论文,但它也是一篇将KOKOA付诸实践的论文。通过美国陆军的这种方法分析了冲突景观,使考古学家能够比文物分布和文本本身更深入地了解战斗的性质和过程。可以说,KOKOA只是为考古学家的本能提供了一个理由,但它确实为提出关于这一景观的问题和发展答案提供了一种框架。这些论文有力地表明了这些技术在冲突考古中的潜力。在撰写这篇社论时,人们对激光雷达非常感兴趣,危地马拉雨林的研究结果表明,玛雅城市比以前认为的要大得多。这个故事已经传遍了媒体,也有关于这个主题的电视纪录片。然而,正如范德施里克和比克的论文所揭示的那样,激光雷达的故事并不完全简单。虽然这项技术可以去除地面上的树木覆盖物,因为一些光信号会到达地面,但它可能会有问题。树木覆盖率越高,测量结果的点就越少。为了填补数据中的空白,处理将在空白中插入值。在几乎没有差距和大量真实数据的情况下,这些数据是没有争议的。如果存在大量空白,而实际数据很少,则很容易过度处理
This issue of the Journal is slightly thematic: two LiDAR-based papers and one using KOKOA (which uses some insights derived from LiDAR data). Effectively, we have three papers that are looking at different ways to investigate and understand conflict landscapes. All three papers provide an exciting introduction to what can be done, applying new ways of looking and thinking about conflict and the landscapes in which conflicts take place. The paper by Nico Roymans, Bart Beex and Jan Roymans looks at a conflict that rarely produces much archaeological research, the conflict that resulted in the separation of the Netherlands and Belgium into independent kingdoms between 1830 and 1839. The study is also of conflict-related archaeology rather than a battlefield, as it looks at the camps of the Dutch army and compares them to Napoleonic French army camps. This is a clear example of the power of LiDAR, where large areas can be covered rapidly, and at a very high resolution that records the very subtle traces left by the features of the camp. Terrestrial survey would miss much of this, and an effective survey would be prohibitively expensive and time-consuming. The LiDAR data provide beautiful images with stunning clarity, which can then be matched against the contemporary plans of the camps. The second paper is also on the subject of LiDAR imaging, and is by Max van der Schriek and Willem Beex. The focus of this paper is the traces of fuel dumps, ammunition stores, foxholes and so forth from the German occupation in the Second World War; these are features similar to those that have been discussed in papers in previous issues, most recently in issue 12.1 by Passmore et al. (2017). Van der Schriek and Beek look at the LiDAR images of the German features, with earlier features also visible. The paper also goes into detail about the way in which LiDAR data is gathered, and the potential issues that there might be with the images that result. The images are again very striking and show what can be done with LiDAR in the best conditions. The final paper is from Craig Brown, Jesús Torres-Martínez, Manuel Fernández-Götz and Antxoka Martínez-Velasco. Rather than focusing on LiDAR, this paper uses data from excavations, surveys and LiDAR to inform a KOKOA analysis of the fighting around Bergida in the Roman period. This is a very welcome paper for the journal: we rarely get papers from Classical sites, but it is also a paper that puts KOKOA into practice. The conflict landscape is analysed through this US Army approach, allowing the archaeologists to develop a deeper understanding of the nature and course of the fighting than the artefact distributions and texts could provide on their own. It could be argued that KOKOA just provides a justification for the instincts of the archaeologists, but it does provide a framework for asking questions and developing answers about that landscape. These papers give a strong indication of the potential for conflict archaeology of these techniques. At the time of writing this editorial, there is a great deal of interest in LiDAR, with the publicising of results from the rain forest of Guatemala showing Mayan cities to be far larger than previously believed. The story has been all over the media, and there have been TV documentaries on the subject. However, as the Van der Schriek and Beek paper reveals, the LiDAR story is not entirely straightforward. While the technique can remove tree cover from the ground because some of the light signal will reach the ground, it can be problematic. The denser the tree coverage, the fewer points of measurement result. To fill the gaps in the data, the processing will interpolate values into the gaps. Where there are few gaps and a lot of real data that is reasonably uncontroversial. Where there are a lot of gaps and little real data, then it is easy to overprocess the
期刊介绍:
The Journal of Conflict Archaeology is an English-language journal devoted to the battlefield and military archaeology and other spheres of conflict archaeology, covering all periods with a worldwide scope. Additional spheres of interest will include the archaeology of industrial and popular protest; contested landscapes and monuments; nationalism and colonialism; class conflict; the origins of conflict; forensic applications in war-zones; and human rights cases. Themed issues will carry papers on current research; subject and period overviews; fieldwork and excavation reports-interim and final reports; artifact studies; scientific applications; technique evaluations; conference summaries; and book reviews.