A GIS for the study of the mid-Tiber valley. Comparisons between archaeological settlements of the Sabine Tiberine area

Meo, Anna De; Espa, Giuseppe; Espa, S.; Pifferi, Augusto; Ricci, U.

doi:10.1016/s1296-2074(03)00043-8

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…Geographic information technologies provide the tools and methodologies for the documentation, analysis and visual reconstruction of the past (Georgoula et al, 2013). At the level of cultural landscapes and sites, GIS is applied for the study of geographic data and spatial analysis, resulting in: (a) the definition of archaeological site patterns (De Meo et al, 2003), (b) the better understanding of the temporal and spatial interactions between the historical events and the natural environment upon which they occurred (Maioa et al, 2013), (c) the planning processes and nature conservation in changing cultural landscapes (Bender et al, 2005), and (d) the estimate of scenario modeling for the documentation and management of environmental and anthropogenic deterioration factors and risks detection (Canuti et al, 2000).…”

Section: Discussionmentioning

confidence: 99%

An Intercultural Approach for the Protection and Promotion of Common Cultural Heritage: The Case of Byzantine Monuments in Serbia

Oikonomopoulou¹,

Delegou²,

Vesic³

et al. 2013

International Journal of Heritage in the Digital Era

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In this work the documentation and classification of monuments based on common characteristics in architecture and painting is examined, aiming at the protection and promotion of common cultural heritage. A comparative study was elaborated between Greek and Serbian monasteries in the Byzantine period. The fields and parameters of the study were set by historical data. The operations of a Geographical Information System were used to define the relations between Greek and Serbian monasteries and to classify the Serbian monuments by field of research: architectural typology, exterior decoration and painting style. The comparative study resulted in the consolidation of the selected monasteries into two cultural routes. It is concluded that the identification and documentation of common cultural heritage through intercultural data and information technology can advance the exchange of knowledge, technologies, practices and policies and the establishment of a common strategic plan for the safeguarding and promotion of common cultural heritage.

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Section: Discussionmentioning

confidence: 99%

An Intercultural Approach for the Protection and Promotion of Common Cultural Heritage: The Case of Byzantine Monuments in Serbia

Oikonomopoulou¹,

Delegou²,

Vesic³

et al. 2013

International Journal of Heritage in the Digital Era

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“…These classes can be equated with different behaviours of ancient societies: areas of high, moderate or low occupancy. Preferred areas should contain significantly more archaeological sites than expected if the entire area were occupied evenly; it is expected that avoided areas should contain significantly fewer sites, and areas of moderate interest (irrelevant) should not be significantly different from the expected value [21,29]. The question remains to what extent the difference between the real and predicted amounts of sites can be still considered significant.…”

Section: To What Extent Can the Selected Classes Be Identified With Amentioning

confidence: 99%

“…The question remains to what extent the difference between the real and predicted amounts of sites can be still considered significant. Because the data are unbalanced, we cannot use any non-parametric test such as the Chi-square; thus, we run a complete spatial randomness (CSR) bootstrap simulation [21,29,63,66]. The null hypothesis for this test is that the distribution of sites in the given area is the result of a random process.…”

Section: To What Extent Can the Selected Classes Be Identified With Amentioning

confidence: 99%

“…High uncertainty, low precision and an imbalance in most archaeological datasets make yielding a simple "yes" or "no" answer difficult -only an answer in the form of "more or less plausible" is possible. This is the possible reason why non-linear algorithms based on machine learning technology have been rarely applied to archaeological problems [6,[24][25][26][27][28][29][30]. The primary goal of this paper is to present a methodology for modelling spatial patterns of past human activity based on imbalanced categorical data that do not fulfil the criteria of adequate spatial representation and use uncertainty in the decision process.…”

Section: Introductionmentioning

confidence: 99%

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Geo-spatial modelling with unbalanced data:modelling the spatial pattern of human activityduring the Stone Age

Jasiewicz

Sobkowiak‐Tabaka

2015

Open Geosciences

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Abstract:With the increasing availability of data, geoscience provides many methods to model the spatial extent of various phenomena. Acquiring representative, high quality data is the most important criterion to assess the value of any spatial analysis, however, there are many situations in which these criteria cannot be fulfilled. Archived data, collected in the past, for which analysis cannot be repeated or supplemented is a very common information source. Archaeological data collected at a regional extent during years of field work and superficial observations are an additional example. Such data rarely provide representative samples and are usually imbalanced; only very few examples contain useful data, while many examples remain without any archaeological traces. In spite of these limitations archaeological information presented in the form of maps can be a useful and helpful tool to analyse the spatial patterns of some phenomena and, from a more practical point of view, a tool to predict the location of undiscovered occurrences. The primary goal of this paper is to present a methodology for modelling spatial patterns based on imbalanced categorical data which do not fulfil the criteria of spatial representation and incorporates uncertainty in its decision process. This concept will be discussed using a collection of Stone Age sites and set of environmental variables from the postglacial lowlands in Western Poland. We will propose a machine-learning system which adopts CART through bootstrap simulation to incorporate uncertainty into the spatial model and utilise that uncertainty in the decision-making process. Finally, we will describe the relationships between the model and environmental variables and present our results in cartographic form using the principles of decision-tree cartography.

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Mapping past human activity using low representative site location datasets and elevation data

Jasiewicz

Sobkowiak‐Tabaka²

2014

2014 IEEE Geoscience and Remote Sensing Symposium

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A GIS for the study of the mid-Tiber valley. Comparisons between archaeological settlements of the Sabine Tiberine area

Cited by 3 publications

References 4 publications

An Intercultural Approach for the Protection and Promotion of Common Cultural Heritage: The Case of Byzantine Monuments in Serbia

An Intercultural Approach for the Protection and Promotion of Common Cultural Heritage: The Case of Byzantine Monuments in Serbia

Geo-spatial modelling with unbalanced data:modelling the spatial pattern of human activityduring the Stone Age

Mapping past human activity using low representative site location datasets and elevation data

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