Locating Macedonian tombs using predictive modelling

Balla, Aikaterini; Pavlogeorgatos, Gerasimos; Tsiafaki, Despoina; Pavlidis, George

doi:10.1016/j.culher.2012.10.011

Cited by 14 publications

(5 citation statements)

References 17 publications

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“…Several examples of techniques for this approach, including the application of fuzzy logic, were provided by [9] (p. 69). In the archaeological context, this method is used, on the one hand, for landscape reconstruction (as used by [10,11]) and, on the other hand, for modeling settlement preferences (as used by [12][13][14]). Nevertheless, many of these approaches do not specifically address second-order spatial effects, that is, the interaction of locations with each other, as examined in [15].…”

Section: Introductionmentioning

confidence: 99%

Location Modeling of Final Palaeolithic Sites in Northern Germany

et al. 2019

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Location modeling, both inductive and deductive, is widely used in archaeology to predict or investigate the spatial distribution of sites. The commonality among these approaches is their consideration of only spatial effects of the first order (i.e., the interaction of the locations with the site characteristics). Second-order effects (i.e., the interaction of locations with each other) are rarely considered. We introduce a deductive approach to investigating such second-order effects using linguistic hypotheses about settling behavior in the Final Palaeolithic. A Poisson process was used to simulate a point distribution using expert knowledge of two distinct hunter–gatherer groups, namely, reindeer hunters and elk hunters. The modeled points and point densities were compared with the actual finds. The G-, F-, and K-function, which allow for the identification of second-order effects of varying intensity for different periods, were applied. The results reveal differences between the two investigated groups, with the reindeer hunters showing location-related interaction patterns, indicating a spatial memory of the preferred locations over an extended period of time. Overall, this paper shows that second-order effects occur in the geographical modeling of archaeological finds and should be taken into account by using approaches such as the one presented in this paper.

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Section: Introductionmentioning

confidence: 99%

Location Modeling of Final Palaeolithic Sites in Northern Germany

et al. 2019

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“…Currently, APM represents a powerful tool for preventive archaeology [4], cultural heritage management [5,6] and improving national-scale archaeological inventories [7,8]. APMs have been used successfully in different geographical areas of the globe including Africa [9,10], Europe [1,[11][12][13], Asia [14,15] and America [16][17][18]. Different intuitive (qualitative) and quantitative statistical methods have been used to identify the locations of archaeological settlements.…”

Section: Introductionmentioning

confidence: 99%

GIS-Based and Statistical Approaches in Archaeological Predictive Modelling (NE Romania)

2019

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Archaeological predictive modelling (APM) is an important method for archaeological research and cultural heritage management. This study tests the viability of a new statistical method for APM. Frequency ratio (FR) is widely used in the field of geosciences but has not been applied in APM. This study tests FR in a catchment from the north-eastern part of Romania to predict the possible location(s) of Eneolithic sites. In order to do that, three factors were used: soils, heat load index and slope position classification. Eighty percent of the sites were used to build the model, while the remaining 20% were used to externally test the model’s performance. The final APM was made with the help of GIS software and classified into four susceptibility classes: very high, high, medium and low. The success rate curve and the prediction rate curve reported values of the area under curve (AUC) of 0.72, and 0.75 respectively. The Kvamme’s Gain value for the model has a value of 0.56. Therefore, the final APM is reliable, so FR is a viable technique for APM. The final map can be successfully used in archaeological research, cultural heritage management and protection, preventive archaeology and sustainable development.

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“…While no comprehensive predictive model, or remote sensing method has yet been developed that allows any archaeologist to conduct their entire survey from their office, for some select regions and time periods, this scenario is rapidly approaching reality (e.g. Alexakis et al, 2011;Aronson & Berger, 2012;Balla et al, 2013;Berger et al, 2010;Meredith-Williams et al, 2014;Parcak et al, 2017;Pringle, 2011). Notably however, most of the regions where remote sensing is successful have already experienced extensive pedestrian surveys, at least in a subset of the area, that have allowed for the development of detailed parameters with which to locate the archaeological sites of interest (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Notably however, most of the regions where remote sensing is successful have already experienced extensive pedestrian surveys, at least in a subset of the area, that have allowed for the development of detailed parameters with which to locate the archaeological sites of interest (i.e. Alexakis et al, 2011;Aronson & Berger, 2012;Balla et al, 2013;Berger et al, 2010;Jaime, 2006;Meredith-Williams et al, 2014;Vaughn & Crawford, 2009). The only known attempt at predictive modelling of archaeological site localities in Indonesia was done by Kealy et al (2017).…”

Section: Introductionmentioning

confidence: 99%

A Geological and Spatial Approach to Prehistoric Archaeological Surveys on Small Islands: Case Studies from Maluku Barat Daya, Indonesia

Kealy

Wattimena

O'Connor

2018

kapata

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Survei arkeologi sangat penting untuk penemuan dan interpretasi sisa-sisa yang ditinggalkan oleh aktivitas manusia prasejarah. Saat ini penginderaan jarak jauh dan model prediktif telah meningkatkan jangkauan dan keberhasilan survei arkeologi, namun survei pejalan kaki untuk mengembangkan parameter model dan prediksi kebenaran dasar masih penting untuk keberhasilan suatu penemuan. Penelitian ini merupakan hasil survei arkeologi tahun 2017 di Pulau Babar Besar dan Pulau Wetang yang termasuk dalam bagian dari kelompok Kepulauan Babar, Maluku Barat Daya, Indonesia. Tercatat sebanyak 62 situs arkeologi ditemukan di kedua pulau tersebut, tujuh diantaranya merupakan situs lukisan cadas baru yang ditemukan di Pulau Wetang. Hasil survei ini menunjukkan keberhasilan penggunaan peta geologi dan topografi di samping citra satelit dalam mendeteksi daerah prospektif untuk survei. Hasil penelitian ini juga menunjukkan bahwa pemahaman karakteristik geologi daerah yang lebih rinci dan komparatif diperlukan sebelum dilakukan survei jarak jauh yang lebih lanjut di wilayah Maluku Barat Daya, Indonesia.Archaeological surveys are essential to the discovery and interpretation of remains left by past human activities. While remote sensing and predictive models have greatly improved the reach and success of archaeological survey, pedestrian surveys to develop model parameters and ground-truth predictions is still imperative for successful discoveries. Here we present the results of the 2017 archaeological survey of islands Babar Besar and Wetang in the Babar Island Group, Maluku Barat Daya, Indonesia. A total of 62 archaeological sites were recorded between the two islands; seven of which represent new rock art sites on Wetang island. Our survey results indicate the successful use of geological and topographic maps alongside satellite images in detecting prospective regions for survey. Results also indicate however that a more detailed and comparative understanding of the regions geology is required before more advanced forms of remote survey are conducted in the Maluku Barat Daya region.

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Locating Macedonian tombs using predictive modelling

Cited by 14 publications

References 17 publications

Location Modeling of Final Palaeolithic Sites in Northern Germany

Location Modeling of Final Palaeolithic Sites in Northern Germany

GIS-Based and Statistical Approaches in Archaeological Predictive Modelling (NE Romania)

A Geological and Spatial Approach to Prehistoric Archaeological Surveys on Small Islands: Case Studies from Maluku Barat Daya, Indonesia

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