scholarly journals Archaeological Sites as Peripheral Destinations. Exploring Big Data on Fieldtrips for an Upcoming Response to the Tourism Crisis after the Pandemic

Heritage ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 3098-3112
Author(s):  
Carlos Martínez-Hernández ◽  
Carmen Mínguez ◽  
Claudia Yubero

Archaeological heritage sites constitute the most recent addition to the tourism supply of Madrid, one of the most visited regions of Spain. In 2003, the Plan de Yacimientos Visitables (Plan of Archaeological Visitable Sites) was implemented, museumising 21 sites. However, the peripheral nature of these sites and the lack of personnel prevent strict control being carried out of who visits them, the practices of these visitors and how they rate the sites. This study proposes a systematic procedure to analyse the data gathered from Twitter and Flickr, in order to determine the most shared archaeological spaces in the years immediately preceding the pandemic, and to assess the perception that the visitors had of them. The information provided is useful for learning about the real weight that these sites have in leisure experiences (school trips, guided tours, recreation, etc.). Now that travel has been restricted due to the pandemic, we should ask whether Spain’s minor heritage is able to structure new proximity tourism routes. This is based on the hypothesis that, until now, these types of heritage have had a very limited role in recreational practices, but offer potential as “outdoor museums” in the present climate.

Author(s):  
Olga Ivlieva ◽  
Anna Shmytkova

The interest in archaeological heritage sites and the possibilities for the development of archaeological tourism have been growing in the world in recent decades. Monuments of archeology are a separate phenomenon in the cultural system and are considered as a separate phenomenon in the field of inheritance and preservation of cultural identity. Revenues from archaeological tourism can be used to preserve archaeological objects and for educational purposes, which actually contributes to the sustainability of archaeological sites, including environmental, social, cultural, political, economic and educational aspects. The need to study the spatial patterns of the distribution of archaeological sites has determined the active use of mapping methods. Geoinformation technologies allow integrating existing registers of archaeological sites and cartographic materials into a single structured geoinformation product. Numerous monuments of material culture, identified on the territory of the Southern Federal District, reflect the successive stages of the cultural and historical development of the macroregion from ancient times to the Middle Ages. Archaeological sites on the territory of the Southern Federal District are conventionally divided into funerary, settlement, and ritual-religious monuments and are of significant interest not only for archaeologists, but also for tourists. The aim of this work is the geoinformation identification of areas of archaeological tourism in the territory of the Southern Federal District. ArcGIS (ESRI) acts as the basic GIS- platform, the initial data are information from the Unified State Register of Cultural Heritage Sites (historical and cultural monuments) of the peoples of the Russian Federation. The territorial distribution of archaeological sites in the administrative-territorial units of the Southern Federal District reflects the degree of archaeological study of the territory and promising areas for the development of archaeological tourism.


Author(s):  
A. M. Ilyushin ◽  
◽  
S. S. Onishchenko ◽  
P. G. Sokolov ◽  
◽  
...  

The results of search studies of previously discovered archaeological sites in the Kemerovo region are presented. The factors of “loss” of cultural heritage objects are described. Examples are given and the results of the search for specific funeral monuments in the basin of the river Inya on the territory of the Kuznetsk basin. Information on archaeological heritage sites is being clarified. New information on archaeological sites studied is introduced into wide scientific circulation.


2019 ◽  
Vol 942 (12) ◽  
pp. 29-40 ◽  
Author(s):  
Z.A. Buryak ◽  
F.N. Lisetskii ◽  
S.V. Ilyashenko

The author focuses on the use of geographic information systems capabilities in the archaeological mapping, the results of the geoinformation analytical system creation “Crimean Archaeological sites”. The purpose of the work was to create a geodatabase for archaeological heritage sites in the Crimea, and also assess the degree of their legal protection in the current conditions of active land development and the formation of the Russian land legal system. On this purpose methods of digital mapping, processing the Earth remote sensing data and spatial analysis in GIS were used. For the first time, the mapping and specification of all the recorded coordinates for the Crimean archaeological sites was carried out, a geodatabase was created. This made it possible to identify “acute” situations associated with land use and creating a threat of destruction for archaeological sites. The results of the work were posted on the geoportal “Archaeological Monuments of the Crimea” to ensure continuous geodatabases updating and monitoring archaeological sites.


Author(s):  
TIKHOMIROV K. ◽  
◽  

Recreation is the most important part of modern life. However, in Russia, there is still underdeveloped an internal and, especially rural (ethnographic) and archaeological tourism. The paper analyzes the possibility of organization of educational recreation for people in the territory of the Bolshechensky district - one of the most touristic regions in the Middle Irtysh. As a result, the author comes to the conclusion that there are several areas which are the most suitable for the specified activity: this is a chain of old Russian villages, the area of compact residence of Tatars - descendants of immigrants from Central Asia, unique places of archaeological heritage sites (the Batakakovo and Inberen meander core, Chigar meander core etc.). For these places, several types of routes are offered (linear radial, radial-ring, etc.). Being of various archaeological and ethnographic themes they make it possible to show the tourists the traditional routine of the rural population, archaeological sites of different types and archaeological excavations. Keywords: western Siberia, northern forest-steppe, left bank of Middle Irtysh, archaeological, rural (ethnographic) tourism, recreation


Author(s):  
S. Morandi ◽  
M. Tremari ◽  
A. Mandelli

The research is an analysis of the recording, reconstruction and visualisation of the 3D data of a XVIII century watermill, identified in an emergency archaeological excavation during the construction of the mini-hydroelectric plant on the bank of the Adda river in the municipality of Pizzighettone (Cremona, Lombardy, Italy). <br><br> The work examines the use and the potentials of modern digital 3D modelling techniques applied to archaeological heritage aimed to increase the research, maintenance and presentation with interactive products. The use of three-dimensional models managed through AR (Augmented Reality) and VR (Virtual Reality) technologies with mobile devices gives several opportunities in the field of study and communication. It also improves on-site exploration of the landscape, enhancing the “minor” archaeological sites, daily subjected to numerous emergency works and facilitating the understanding of heritage sites.


Geosciences ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 246
Author(s):  
Irma Della Giovampaola

Archaeological sites are affected by changes due to a natural deterioration process over time. If not prevented, this may compromise the functionality of the cultural property, and in turn become pathological and result in degradation. Monitoring through innovative technologies paves the way towards an effective planned maintenance activity and therefore preventive conservation. The monitoring project of the Parco Archeologico del Colosseo was inspired by the desire to build a system of protection and conservation at the service of sustainable exploitation. Established by Ministerial Decree 12 January 2017 in art. 3, the park is an independent cultural site of the Ministry of Culture. It includes the central area of Rome—the Roman Forum, the Palatine, the Colosseum and the Domus Aurea—and has an extension of about 77 hectares, of which about 32 are buildings. With these objectives, the Parco Archeologico del Colosseo has launched a static and dynamic monitoring project consisting of six fundamental levels of activities. The project involves the creation of a multi-parameter system of permanent control of the entire archaeological area, with the associated indicators of the level of risk, for which it is necessary the combined use of innovative technologies.


2020 ◽  
Vol 38 ◽  
pp. 100709 ◽  
Author(s):  
M. Million ◽  
P. Gautret ◽  
P. Colson ◽  
Y. Roussel ◽  
G. Dubourg ◽  
...  

2020 ◽  
Vol 14 ◽  
pp. 174830262096239 ◽  
Author(s):  
Chuang Wang ◽  
Wenbo Du ◽  
Zhixiang Zhu ◽  
Zhifeng Yue

With the wide application of intelligent sensors and internet of things (IoT) in the smart job shop, a large number of real-time production data is collected. Accurate analysis of the collected data can help producers to make effective decisions. Compared with the traditional data processing methods, artificial intelligence, as the main big data analysis method, is more and more applied to the manufacturing industry. However, the ability of different AI models to process real-time data of smart job shop production is also different. Based on this, a real-time big data processing method for the job shop production process based on Long Short-Term Memory (LSTM) and Gate Recurrent Unit (GRU) is proposed. This method uses the historical production data extracted by the IoT job shop as the original data set, and after data preprocessing, uses the LSTM and GRU model to train and predict the real-time data of the job shop. Through the description and implementation of the model, it is compared with KNN, DT and traditional neural network model. The results show that in the real-time big data processing of production process, the performance of the LSTM and GRU models is superior to the traditional neural network, K nearest neighbor (KNN), decision tree (DT). When the performance is similar to LSTM, the training time of GRU is much lower than LSTM model.


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