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Fuzzy Similarity and Fuzzy Inclusion Measures in Polyline Matching: A Case Study of Potential Streams Identification for Archaeological Modelling in GIS

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Alt, H. & Godau, M. (1995). Computing the Fréchet distance between two polygonal curves. International Journal of Computational Geometry & Applications, 5(1-2), 75-91. doi: 10.1142/S0218195995000064.Search in Google Scholar

Arnaud-Fassetta, G., Carcaud, N., Castanet, C. & Salvador, P.-G. (2010). Fluviatile palaeoenvironments in archaeological context: Geographical position, methodological approach and global change - Hydrological risk issues. Quaternary International, 216(1-2), 93-117. doi: 10.1016/j.quaint.2009.03.009.Search in Google Scholar

Bandemer, H.-W. (2006). Mathematics of Uncertainty - Ideas, Methods, Application Problems. Springer. doi: 10.1007/3-540-31228-5.Search in Google Scholar

Bátora, J. & Tóth, P. (2014). Settlement Strategies in the Early Bronze Age in South-Western Slovakia. In: Kienlin, T., Valde-Nowak, P., Korczynska, M., Cappenberg, K. & Ociepka, J. (eds.) Settlement, Communication and Exchange around the Western Carpathians, Archaeopress, 325-340.10.2307/j.ctvqmp120.24Search in Google Scholar

Bolten, A., Bubenzer, O. & Darius, F. (2006). A digital elevation model as a base for the reconstruction of Holocene land-use potential in arid regions. Geoarchaeology, 21(7), 751-762. doi: 10.1002/gea.20137.Search in Google Scholar

Chen, C.-C. & Knoblock, C. A. (2008). Conflation of Geospatial Data. In: Encyclopedia of GIS, S. Shekar and H. Xiong, Eds. Springer US, Boston, ch. Conflation, 133-140. doi: 10.1007/978-0-387-35973-1_182.Search in Google Scholar

Cobb, M. A., Chung, M. J., Foley III, H., Petry, F. E., Shaw, K. B. & Miller, H. V. (1998). No Title. Geoinformatica, 2(1), 7-35. doi: 10.1023/A:1009788905049.Search in Google Scholar

Dhar M. (2013). Cardinality of Fuzzy Sets: An Overview. International Journal of Energy, Information and Communications, 1, 15-22.Search in Google Scholar

Dice, L. R. (1945). Measures of the Amount of Ecologic Association Between Species. Ecology, 26(3), 297-302. doi: 10.2307/1932409.Search in Google Scholar

Ewing, G. M. (1985). Calculus of Variations with Applications. Dover Publications, New York.Search in Google Scholar

Ford, A., Clarke, K. C. & Raines, G. (2009). Modeling Settlement Patterns of the Late Classic Maya Civilization with Bayesian Methods and Geographic Information Systems. Annals of the Association of American Geographers, 99(3), 1-25. doi: 10.1080/00045600902931785.Search in Google Scholar

Gillings, M. (1995). GIS and the Tisza Flood-Plain: Landscape and Settlement Evolution in North-Eastern Hungary. In: The Impact of Geographic Information Systems on Archaeology: a European Perspective, G. Lock and Z. Stancic, Eds. Taylor & Francis, New York, 67-84.Search in Google Scholar

Goodchild, M. F. & Hunter, G. J. (1997) A simple positional accuracy measure for linear features. International Journal of Geographical Information Science 11(3), 299-306. doi: 10.1080/136588197242419.Search in Google Scholar

Harrower, M. J. (2009). Is the hydraulic hypothesis dead yet? Irrigation and social change in ancient Yemen. World Archaeology, 41(1), 58-72. doi: 10.1080/00438240802668354.Search in Google Scholar

Harrower, M. J. (2010). Geographic Information Systems (GIS) hydrological modeling in archaeology: an example from the origins of irrigation in Southwest Arabia (Yemen). Journal of Archaeological Science, 37(7), 1447-1452. doi: 10.1016/j.jas.2010.01.004.Search in Google Scholar

Hausdorff, F. (1914). Grundzüge der Mengenlehre. Veit, Leipzig. Search in Google Scholar

Heuvelink, G. B. M. & Brown, J. D. (2016). Uncertain Environmental Variables in GIS. In: Encyclopedia of GIS, S. Shekar and H. Xiong, Eds. Springer International Publishing, ch. Uncertain, 1-9. doi: 10.1007/978-3-319-23519-6_1422-2.Search in Google Scholar

Jaccard, P. (1901). Étude comparative de la distribution orale dans une portion des Alpes et des Jura. Bulletin de la Societe Vaudoise des Sciences Naturelles, 37, 547-579.Search in Google Scholar

Koukoletsos, T., Haklay, M. & Ellul, C. (2012). Assessing data completeness of VGI through an automated matching procedure for linear data. Transactions in GIS, 16(4), 477-498. Doi: 10.1111/j.1467-9671.2012.01304.x10.1111/j.1467-9671.2012.01304.xOpen DOISearch in Google Scholar

Lieskovský, T. (2011). Využitie geografických informačných systémov v predikčnom modelovaní v archeológii (Unpublished doctoral dissertation), Slovak University of Technology.Search in Google Scholar

Longley, P. A., Goodchild, M. F., Maguire, D. J. & Rhind, D. W. (1999). Geographical Information Systems and Science. John Willey &Sons.Search in Google Scholar

Periman, R. D. (2005). Modeling landscapes and past vegetation patterns of New Mexico’s Rio del Oso Valley. Geoarchaeology, 20(2), 193-210. doi: 10.1002/gea.20043.Search in Google Scholar

Petry, F. E., Robinson, V. B. & Cobb, M. A.(2005). Fuzzy Modeling with Spatial Information for Geographic Problems. Springer Berlin Heidelberg, Berlin, Heidelberg. doi: 10.1007/b138243.Search in Google Scholar

Pilesjö, P. & Hasan, A. (2014) A Triangular Form-based Multiple Flow Algorithm to Estimate Overland Flow Distribution and Accumulation on a Digital Elevation Model. Transactions in GIS 18, 108-124. doi:10.1111/tgis.12015Search in Google Scholar

Samal, A., Seth, S. & Cueto, K. (2004). A feature-based approach to conflation of geospatial sources. International Journal of Geographical Information Science, 18(5), 459-489. doi: 10.1080/13658810410001658076.Search in Google Scholar

Schneider, M. (2008). Fuzzy Spatial Data Types for Spatial Uncertainty Management in Databases. In: Handbook of Research on Fuzzy Information Processing in Databases. IGI Global, 490-515. doi: 10.4018/978-1-59904-853-6.ch019.Search in Google Scholar

Seth, S. & Samal, A. (2016). Conflation of Features. In: Encyclopedia of GIS, S. Shekar and H. Xiong, Eds. Springer International Publishing, 1-7. doi: 10.1007/978-3-319-23519-6_181-2.Search in Google Scholar

Sørensen, T. (1948). A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons. Kongelige Danske Videnskabernes Selskab, 5(4), 1-34.Search in Google Scholar

Tang, X., Fang, Y. & Kainz, W. (2006). Fuzzy Topological Relations between Fuzzy Spatial Objects. In: Fuzzy Systems and Knowledge Discovery, Proceedings, vol. 4223, 324-333. doi: 10.1007/11881599_37.Search in Google Scholar

Toomanian, A., Harrie, L., Mansourian, A. & Pilesjö, P. (2013). Automatic integration of spatial data in viewing services. Journal of Spatial Information Science, 6, 43-58. doi: 10.5311/JOSIS.2013.6.87.Search in Google Scholar

Van Leusen, M., Van Leusen, M., Deeben, J., Deeben, J., Hallewas, D., Hallewas, D., Kamermans, H., Kamermans, H., Verhagen, P., Verhagen, P., Zoetbrood, P. & Zoetbrood, P. (2005). A Baseline for Predictive Modelling in the Netherlands. Predictive Modelling for Archaeological Heritage Managment: A research agenda, Amersfoort, 25-92.Search in Google Scholar

Walter, V. & Fritsch, D. (1999). Matching spatial data sets: a statistical approach. International Journal of Geographical Information Science, 13(5), 445-473. doi: 10.1080/136588199241157Search in Google Scholar

Wen-June, W. (1997). New similarity measures on fuzzy sets and on elements. Fuzzy Sets and Systems, 85(3), 305-309. doi: 10.1016/0165-0114(95)00365-7.Search in Google Scholar

Wilson, J. P., Aggett, G., Yongxin, D. & Lam, C. S. (2008). Water in the Landscape: A Review of Contemporary Flow Routing Algorithms. In: Advances in Digital Terrain Analysis. Springer Berlin Heidelberg, Berlin, Heidelberg, 213-236. doi: 10.1007/978-3-540-77800-4_12.Search in Google Scholar

Wygralak, M. (1983). Fuzzy inclusion and fuzzy equality of two fuzzy subsets, fuzzy operations for fuzzy subsets. Fuzzy Sets and Systems, 10(1-3), 157-168. doi: 10.1016/S0165-0114(83)80112-2.Search in Google Scholar

Young, V. R. (1996). Fuzzy subsethood. Fuzzy Sets and Systems, 77(3), 371-384. doi: 10.1016/0165-0114(95)00045-3. Search in Google Scholar

Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. doi: 10.1016/S0019-9958(65)90241-X.Search in Google Scholar

Zeng, W. & Li, H. (2006). Inclusion measures, similarity measures, and the fuzziness of fuzzy sets and their relations. International Journal of Intelligent Systems, 21, 639-653. doi: 10.1002/int.20152.Search in Google Scholar

Zhang, J. & Goodchild, M. F. (2002). Uncertainty in Geographical Information. Taylor & Francis. doi: 10.1111/j.1467-8306.2003.09304014_8.x.Search in Google Scholar

eISSN:
2391-8152
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Inglese
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Volume Open
Argomenti della rivista:
Computer Sciences, other, Geosciences, Geodesy, Cartography and Photogrammetry