اخبار و اعلانات

دانشگاه سیستان و بلوچستان

آمار

تعداد نشریات27
تعداد شماره‌ها557
تعداد مقالات5,743
تعداد مشاهده مقاله8,018,843
تعداد دریافت فایل اصل مقاله5,390,575
Labbaf-Khaniki, Meysam, Daghmehchi, Maria, Castillejo, Alfredo Maximiano, Samadi,, Mehdi, Fayyaz Movaghar, Afshin. (1397). Spatial and Quantitative Analyses of Sasanian Ceramics from the Architectural Spaces of Bazeh-Hur Chahartaq. نشریه علمی دانشگاه سیستان و بلوچستان, 9(1), 11-21. doi: 10.22111/ijas.2019.6507
Meysam Labbaf-Khaniki; Maria Daghmehchi; Alfredo Maximiano Castillejo; Mehdi Samadi,; Afshin Fayyaz Movaghar. "Spatial and Quantitative Analyses of Sasanian Ceramics from the Architectural Spaces of Bazeh-Hur Chahartaq". نشریه علمی دانشگاه سیستان و بلوچستان, 9, 1, 1397, 11-21. doi: 10.22111/ijas.2019.6507
Labbaf-Khaniki, Meysam, Daghmehchi, Maria, Castillejo, Alfredo Maximiano, Samadi,, Mehdi, Fayyaz Movaghar, Afshin. (1397). 'Spatial and Quantitative Analyses of Sasanian Ceramics from the Architectural Spaces of Bazeh-Hur Chahartaq', نشریه علمی دانشگاه سیستان و بلوچستان, 9(1), pp. 11-21. doi: 10.22111/ijas.2019.6507
Labbaf-Khaniki, Meysam, Daghmehchi, Maria, Castillejo, Alfredo Maximiano, Samadi,, Mehdi, Fayyaz Movaghar, Afshin. Spatial and Quantitative Analyses of Sasanian Ceramics from the Architectural Spaces of Bazeh-Hur Chahartaq. نشریه علمی دانشگاه سیستان و بلوچستان, 1397; 9(1): 11-21. doi: 10.22111/ijas.2019.6507

Spatial and Quantitative Analyses of Sasanian Ceramics from the Architectural Spaces of Bazeh-Hur Chahartaq

Iranian Journal of Archaeological Studies
مقاله 2، دوره 9، شماره 1، 2019، صفحه 11-21  XML اصل مقاله (1.93 MB)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22111/ijas.2019.6507
نویسندگان
Meysam Labbaf-Khaniki email 1؛ Maria Daghmehchi2؛ Alfredo Maximiano Castillejo3؛ Mehdi Samadi,4؛ Afshin Fayyaz Movaghar5
1Department of Archaeology, University of Tehran, Iran.
2Department of Archaeology, University of Tehran, Iran
3Quantitative Archaeology Lab, Departament de Prehistòria, Universitat Autònoma de Barcelona, Spain.
4Department of Remote sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran
5Department of Statistics, University of Mazandaran, Iran
چکیده
This study presents a model for the spatial structure of ceramic vessels across the architectural complex of Bazeh-Hur site (6th to 8th centuries AD), using Inverse Distance Weighting interpolation for modelling and Mean Relative Error and Root Mean Square Error for validation and cross-validation of the output modelled surface. The Regression analysis was also used to examine the vessel prediction per square meter and measure the correlation intensity between the values and distance. These geostatistical and quantitative methods not only enable us to characterize the arrangement of the architectural spaces where activities take place, but also to delimit several structures that are corroborated by the excavated areas. As a conclusion, we propose a high probability for the main entrance of the building in southern taq, which is also attested by a chief portico and a broad gypsum floor near to an ancient trade road.
کلیدواژه‌ها
Inverse Distance Weighting؛ Regression Analysis؛ Validation؛ Ceramics؛ Bazeh-Hur
مراجع

Afzal al-Molk, Gh. 1903. Safarname-ye Khorasan va Kerman (The Book of Travels to Khorasanand Kerman), edited by Gh. RoshaniZaferanlou, Tous Publishing, Tehran. (inPersian)
Bevan, A. & J. Conolly, 2009. Modelling spatialheterogeneity and nonstationarity in artifact-rich
landscapes, Journal of Archaeological Science36, 956–964.
Clarkson, C. & A. Bellas, 2014. Mapping stone: usingGIS spatial modelling to predict lithic sourcezones, Journal of Archaeological Science 46,324-333.
Conolly, J. & M. Lake, 2006. GIS and archaeology,Cambridge University Press, Cambridge.

Daghmehchi, M.; H. Omrani; M. Emami, J. Nokandeh2016. Mineralogical and thermo-chemicalcharacteristics of the Hellenistic ceramics andraw clay from Qizlar Qal'eh (northeastern Iran),Materials Characterization 120, 143–151.
Esri, 2012. An Overview of the Interpolation Toolset.http://help.arcgis.com/en/ arcgisdesktop/10.0/help/index.
Ghafoorian, R.; H. Sanaie Nejad; A. Dadrasi & J. Ezi,2012. Arzyabi ravesh-haye Taeen Shib dar yekHoze Abkhiz (Analysing the Methods ofEstimating Mean Watershed Slope). J. of Eng.and Watershed Managing, 1/3, 57-66.
Godard, A. 1938. Athar-e Iran III, Librairie OrientalistePaul Geuthner, Paris.
Gong, G.; S. Mattevada & S. E. O’Bryant, 2014.Comparison of the accuracy of kriging and IDWinterpolations in estimating groundwater arsenicconcentrations in Texas. Environ. Res, 130, 59–69.
Hai-tao, W.; K. Ling-xue; B. Jin; B. Zong-qing; L. Dongmei& L. Wen, 2015. Transformation of minerals indirect coal liquefaction residue under gasificationatmosphere at high temperatures, Journal of fuelchemistry and technology 43 (3), 257-65.
Herzfeld, E. 1942. Damascus: Studies in Architecture.Ars Islamica 9, 1-53.
Huang, F.; D. Liu; X. Tan; J. Wang, Y. Chen & B. He,2011. Explorations of the implementation of aparallel IDW interpolation algorithm in a Linuxcluster-based parallel GIS. Computers andGeosci, 37, 426–434.
Huff, D. & B. O'Kane, 1990. Čahārtāq, in: Yarshater, E.(Ed.), Encyclopaedia Iranica, vol. IV. MazdaPublishers, California, pp. 634-642.
Ivajnsic, D.; M. Kaligaric & I. Ziberna, 2014.Geographically weighted regression of the urbanheat island of a small city. Appl. Geogr, 53, 341-353.

Luo, J. & Y. H. D Wei, 2009. Modeling spatial variationsof urban growth patterns in Chinese cities: Thecase of Nanjing. Landsc. and Urban Plan, 91,51–64.
Mickey, R. M. 2003. Applied Statistics, Analysis ofVariance and Regression, Wiley, New York.Niknami, K. 2008. Quantitative Methods inArchaeological Researches, (In Persian), Vol.1:Basic Methods. Samt Publishing, Tehran.
Ogundimu, E.O.; D. G. Altman & G. S. Collins 2016.Adequate sample size for developing predictionmodels is not simply related to events per variable,Journal of Clinical Epidemiology, in press.
Orton, C. & M. Hughes, 1993. Pottery in Archaeology,Cambridge University Press, Cambridge.Papachristodoulou, C.; A. Oikonomou, ; K. Ioannides &K. Gravani, 2006. A study of ancient potteryby means of X-ray fluorescence spectroscopy
multivariate statistics and mineralogical analysis,Analytica Chimica Acta, 573–574, 347–53.
Reuter, O. 1938. Sasanian Architecture, in Pope, A. (Ed.),A Survey of Persian Art, Sasanian Art, Vol.1,(493-578). Oxford University Press: Oxford.
Spiegel, M.R.; J.J. Schiller; R.A. Srinivasan; M. Le Van,2009. Probability and Statistics. McGraw-Hill,New York.
Starck, S. 2008. Erfahrungsbericht’ of Application ofDifferent Quantitative Methods at Kalapodi,in: Verdan, S., Theurillat, T., KenzelmannPfyffer A. (Eds.), Early Iron Age Pottery: AQuantitative Approach (45-60), (Proceedings ofthe International Round Table organized by theSwiss School of Archaeology in Greece, Athens.
Sung, M. C.; D. C. J. Mc Donald & J. E. V. Johnson,2016. Probabilistic forecasting with discretechoice models: Evaluating predictions withpseudo-coefficients of determination, EuropeanJournal of Operational Research, 248, 1021–1030.

Voss, B.L. & R. Allen, 2010. Guide to Ceramic MNVCalculation Qualitative and Quantitative analysis.Tech. Briefs in Hist. Archaeol, 5, 1-9.
Wackerly, D.; W. Mendenhall & R. Scheaffer, 2008.Mathematical Statistics with Applications,Seventh ed.Thomson Brooks, California.
Wilber, D. N. 1946. The Ruins at Rabat-i-Safid, Bulletinof the Iranian Institute, 6-7, 22-28.
Xu, L.; Y. Cheng; R. Yin & Q. Zhang, 2015. Comparativestudy of regression modeling methods foronline coal calorific value prediction from flameradiation features. Fuel, 142, 164–172.
Yang, Ch. 2016. Correlation coefficient evaluation for thefuzzy interval data. J. Bus. Rese, 69, 2138-2144.
Zheng, L.; Z. Jun; L. Ying & W. Wei, 2016. Use of aquintile regression based echo state network
ensemble for construction of prediction Intervalsof gas flow in a blast furnace. Control Eng. Pract,46, 94-104.
Labbaf-Khaniki, M. 2017. Excavations at Bazeh-Hur inNorth-Eastern Iran: A Preliminary Report, Iran,55 (2), 253–270.
Wei-Hsin Chen, Hung-Jen Hsub, Gopalakrishnan Kumar,Wojciech M. Budzianowskid & Hwai Chyuan Ong. 2017.
Predictions of biochar production and torrefactionperformance from sugarcane bagasse usinginterpolation and regression analysis, BioresourceTechnology, 246, 12–19.
Achino, A. F. & J. A. Barceló, 2018. Spatial Prediction:Reconstructing the spatiality of Social Activities
at the Intra-Site Scale. J Archaeol Method Theory,1-23.

Alessandra Pecci; Miguel Ángel Cau Ontiveros & ChiaraValdambrini. 2013. Fernanda InserraUnderstanding residues of oil production:chemical analyses of floors in traditional mills,Journal of Archaeological Science 40, 883-893.

Bernardo Rondelli; Carla Lancelotti; Marco Madella;Alessandra Pecci; Andrea Balbo; Javier RuizPérez; Fernanda Inserra; Charusmita Gadekar;Miquel Ángel Cau Ontiveros & P. Ajithprasad,2014. Anthropic activity markers and spatialvariability: an ethnoarchaeological experimentin a domestic unit of Northern Gujarat (India),Journal of Archaeological Science 41, 482-492.
Alfredo Maximiano Castillejo; Facundo Gómez Romero;Carlos Landa & Camilo Barcia García, 2018,Archaeological spatial analysis and GIS in a smallfortification: Ephemeral occupations along theborder during the ‘Conquest of Desert’ process
in Argentinean Pampas (19th Century), Journal ofArchaeological Science: Reports 18, 679-688.

آمار
تعداد مشاهده مقاله: 127
تعداد دریافت فایل اصل مقاله: 34


Contact Us | Help & Support | Site Map

Journal Management System. Designed by sinaweb.