Talking Space — A Social &amp; Fuzzy Logical GIS Perspective On Modelling Spatial Dynamics

Kratochwil, Susanne; Benedikt, Josef

doi:10.1007/3-540-26886-3_8

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…GIS in general are considered to precisely represent points, areas and lines on earth. Uncertainties (due to vague as well as ambiguous data), however, remain inherent when using linguistic data as representation of spatial knowledge (Benedikt, Reinberg & Riedl, 2002, 2004Kratochwil & Benedikt, 2005). These uncertainties can be addressed with weighting algorithms; we intend to experiment with spatial weights using ordered weighted averaging operators in ensuing research.…”

Section: Outlook and Conclusionmentioning

confidence: 99%

A perceptual dialectological approach to linguistic variation and spatial analysis of Kurdish varieties

Eppler¹,

Benedikt²

2017

J. of Ling. Geography

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This paper presents the results of the first investigation into Kurdish linguistic varieties and their spatial distribution. Kurdish dialects are used across five nation states in the Middle East and only one dialect, Sorani, has official status in one of these nation states. The study employs the “draw-a-map” task established in Perceptual Dialectology; the analysis is supported by Geographical Information Systems (GIS). The results show that, despite the geolinguistic and geopolitical situation, Kurdish respondents have good knowledge of the main varieties of their language (Kurmanji, Sorani, and the related variety Zazaki) and where to localize them. Awareness of the more diverse Southern Kurdish varieties is less definitive. This indicates that the Kurdish language plays a role in identity formation, but also that smaller isolated varieties are not only endangered in terms of speakers, but also in terms of their representations in Kurds’ mental maps of the linguistic landscape they live in.

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Section: Outlook and Conclusionmentioning

confidence: 99%

A perceptual dialectological approach to linguistic variation and spatial analysis of Kurdish varieties

Eppler¹,

Benedikt²

2017

J. of Ling. Geography

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“…There is a great number of applications of fuzzy logic in spatial analysis; these include defining and locating spatial objects (Bejaoui et al, 2007;Hatzichristos & Potamias, 2004;Fisher et al, 2007;Fisher & Wood, 2004), mapping continuous spatial phenomena (Fonte & Lodwick, 2005;Joss et al, 2008), defining topological relations (Matsakis & Nikitenko, 2005;Takemura et al, 2005), satellite images classification (Nedeljkovic, 2006), analysis of relations between geographical objects (Guesgen, 2005;Kratochwil & Benedikt, 2005), statistical analysis of spatial data and data mining (Kollias et al, 1999;Liu & George, 2005), development of DSS and expert systems (Kalogirou, 2002;Stefanakis et al, 1996), spatial and temporal interpolation (Dragicevic, 2005;Dragicevic & Marceau, 2000.…”

Section: Application Of Fuzzy Logic For Urban Modelingmentioning

confidence: 99%

A Linguistic Approach to Model Urban Growth

Mantelas

Prastacos

Hatzichristos

et al. 2012

International Journal of Agricultural and Environmental Information Systems

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This paper presents a linguistic approach for modeling urban growth. The authors developed a methodological framework which utilizes Fuzzy Set theory to capture and describe the effect of urban features on urban growth and applies Cellular Automata techniques to simulate urban growth. Although several approaches exist that combine Fuzzy Logic and Cellular Automata for urban growth modeling, the authors focused on the ability to use partial knowledge and combine theory-driven and data driven knowledge. To achieve this, a parallel connection between the input variables is introduced which further allows the model to disengage from severe data limitations. In this approach, a number of parallel fuzzy systems are used, each one of which focuses on different types of urban growth factors, different drivers or restrictions of development. The effects of all factors under consideration are merged into a single internal thematic layer that maps the suitability for urbanization for each area, providing thus an information flow familiar to the human conceptualization of the phenomenon. Following, cellular automata techniques are used to simulate urban growth. The proposed methodology is applied in the Mesogeia area in the Attica basin (Athens) for the period 1990-2004 and provides realistic estimations for urban growth.

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“…Ζ βηβιηνγξαθία πεξηιακβάλεη έλαλ κεγάιν αξηζκφ απφ ζχγρξνλεο εθαξκνγέο ηεο ΛΑ ζε γεσγξαθηθέο αλαιχζεηο. Απηέο πεξηιακβάλνπλ αληηθείκελα φπσο νξηζκφ θαη ηνπνζεζία γεσγξαθηθψλ αληηθεηκέλσλ (Fisher 2004, Hatzichristos & Potamias 2004, Fisher et al 2007, Bejaoui et al 2007), ζεψξεζε ζπλφξσλ ρσξηθψλ θαηλνκέλσλ (Fonte & Lodwick 2005, Joss et al 2008, ραξηνγξάθεζε ρξήζεσλ θαη θάιπςεο γεο (Henning 2003, Arijit 2006, ζεψξεζε ηνπνινγηθψλ ζρέζεσλ (Takemura et al 2005, Matsakis & Nikitenko 2005, ηαμηλφκεζε δνξπθνξηθψλ εηθφλσλ (Nedeljkovic 2006), ζπζρεηίζεηο γεσγξαθηθψλ αληηθεηκέλσλ (Guesgen 2005, Kratochwil & Benedikt 2005, ζηαηηζηηθή αλάιπζε ρσξηθψλ δεδνκέλσλ (Kollias et al 1999), εμφξπμε ρσξηθψλ δεδνκέλσλ (Liu & George 2005), ζπζηήκαηα ππνζηήξημεο ιήςεο απνθάζεσλ (Stefanakis et al 1996), εθαξκνγή έκπεηξσλ ζπζηεκάησλ (Kalogirou 2002), ρσξηθή (Dragicevic 2005) θαη ρξνληθή παξεκβνιή (Dragicevic & Marceau 2000) θαη ζεψξεζε ηνπ δηαλχζκαηνο ηνπ ρξφλνπ (Dragicevic & Marceau 2001).…”

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Υπολογιστική Προσομοίωση Αστικής Επέκτασης Με Χρήση Ασαφών Κυψελοειδών Αυτομάτων

Mantelas¹,

Μαντέλας²

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Talking Space — A Social & Fuzzy Logical GIS Perspective On Modelling Spatial Dynamics

Cited by 4 publications

References 10 publications

A perceptual dialectological approach to linguistic variation and spatial analysis of Kurdish varieties

A perceptual dialectological approach to linguistic variation and spatial analysis of Kurdish varieties

A Linguistic Approach to Model Urban Growth

Υπολογιστική Προσομοίωση Αστικής Επέκτασης Με Χρήση Ασαφών Κυψελοειδών Αυτομάτων

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