Spatial predictive modeling of prehistoric sites in the
Bohemian-Moravian Highlands based on graph similarity analysis

J 2018

Spatial predictive modeling of prehistoric sites in the Bohemian-Moravian Highlands based on graph similarity analysis

MERTEL, Adam, Peter ONDREJKA a Klára ŠABATOVÁ

Základní údaje

Originální název

Spatial predictive modeling of prehistoric sites in the Bohemian-Moravian Highlands based on graph similarity analysis

Autoři

MERTEL, Adam (703 Slovensko, garant, domácí), Peter ONDREJKA (703 Slovensko, domácí) a Klára ŠABATOVÁ (203 Česká republika, domácí)

Vydání

Open Geosciences, Berlin, De Gruyter Open, 2018, 2391-5447

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

60102 Archaeology

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 0.788

Kód RIV

RIV/00216224:14210/18:00103055

Organizační jednotka

Filozofická fakulta

DOI

http://dx.doi.org/10.1515/geo-2018-0020

UT WoS

000439357300002

Klíčová slova anglicky

graph analysis; machine learning; spatialmodeling; archaeological predictive modeling; historical landscape

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 20. 2. 2022 23:42, Mgr. Ivona Vrzalová

Anotace

V originále

This paper presented a new method for identifying promising areas for archaeological research. The method is based on graph analysis that iteratively compares and manipulates Hamming distances between graphs of input geographical parameters and graphs of human activity data in various historical periods. The weights learned from the comparison was used to build a prediction model to estimate the potential presence of an archaeological site of a certain time period in a given cadaster. This was applied in the Bohemian Moravian Highlands region based on the most complete archaeological dataset of the area. Resulting maps were analyzed from the archaeological and historical point of view to test against the existing knowledge of prehistoric population movement in the region. Overall, the method proved to overcome problems such as fragmentary inputs and is a good candidate for application in smaller and geographically diverse research areas. The aim of this work was to contribute to the methodology of the prediction of historical human activity, to facilitate greater comprehension of past local settlement dynamics, and to possibly ease the protection of cultural heritage.

Návaznosti

MUNI/A/0734/2017, interní kód MU

Název: Archeologické terénní prospekce, exkavace, dokumentace a muzejní prezentace VII

Investor: Masarykova univerzita, Archeologické terénní prospekce, exkavace, dokumentace a muzejní prezentace VII, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

MUNI/A/1419/2016, interní kód MU

Název: Integrovaný výzkum environmentálních změn v krajinné sféře Země II

Investor: Masarykova univerzita, Integrovaný výzkum environmentálních změn v krajinné sféře Země II, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

MERTEL, Adam, Peter ONDREJKA a Klára ŠABATOVÁ. Spatial predictive modeling of prehistoric sites in the Bohemian-Moravian Highlands based on graph similarity analysis. Open Geosciences. Berlin: De Gruyter Open, 2018, roč. 10, č. 1, s. 261-274. ISSN 2391-5447. Dostupné z: https://dx.doi.org/10.1515/geo-2018-0020.

@article{1421365,
   author = {Mertel, Adam and Ondrejka, Peter and Šabatová, Klára},
   article_location = {Berlin},
   article_number = {1},
   doi = {http://dx.doi.org/10.1515/geo-2018-0020},
   keywords = {graph analysis; machine learning; spatialmodeling; archaeological predictive modeling; historical landscape},
   language = {eng},
   issn = {2391-5447},
   journal = {Open Geosciences},
   title = {Spatial predictive modeling of prehistoric sites in the Bohemian-Moravian Highlands based on graph similarity analysis},
   url = {https://doi.org/10.1515/geo-2018-0020},
   volume = {10},
   year = {2018}
}

TY  - JOUR
ID  - 1421365
AU  - Mertel, Adam - Ondrejka, Peter - Šabatová, Klára
PY  - 2018
TI  - Spatial predictive modeling of prehistoric sites in the Bohemian-Moravian Highlands based on graph similarity analysis
JF  - Open Geosciences
VL  - 10
IS  - 1
SP  - 261-274
EP  - 261-274
PB  - De Gruyter Open
SN  - 23915447
KW  - graph analysis
KW  - machine learning
KW  - spatialmodeling
KW  - archaeological predictive modeling
KW  - historical landscape
UR  - https://doi.org/10.1515/geo-2018-0020
N2  - This paper presented a new method for identifying promising areas for archaeological research. The method is based on graph analysis that iteratively compares and manipulates Hamming distances between graphs of input geographical parameters and graphs of human activity data in various historical periods. The weights learned from the comparison was used to build a prediction model to estimate the potential presence of an archaeological site of a certain time period in a given cadaster. This was applied in the Bohemian Moravian Highlands region based on the most complete archaeological dataset of the area. Resulting maps were analyzed from the archaeological and historical point of view to test against the existing knowledge of prehistoric population movement in the region. Overall, the method proved to overcome problems such as fragmentary inputs and is a good candidate for application in smaller and geographically diverse research areas. The aim of this work was to contribute to the methodology of the prediction of historical human activity, to facilitate greater comprehension of past local settlement dynamics, and to possibly ease the protection of cultural heritage.
ER  -

MERTEL, Adam, Peter ONDREJKA a Klára ŠABATOVÁ. Spatial predictive modeling of prehistoric sites in the Bohemian-Moravian Highlands based on graph similarity analysis. \textit{Open Geosciences}. Berlin: De Gruyter Open, 2018, roč.~10, č.~1, s.~261-274. ISSN~2391-5447. Dostupné z: https://dx.doi.org/10.1515/geo-2018-0020.

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