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Spatial analysis of visual environmental information in urban landscapes. Attempting to detect homogeneous areas through a GIS

Tsouchlaraki Androniki, Achilleos Georgios

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/D47B90C5-07C3-4007-8635-C7470FDC1302
Έτος 2005
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά A. Tsouchlaraki, G. Achilleos, “Spatial analysis of visual environmental information in urban landscapes. Attempting to detect homogeneous areas through a GIS," in 2005 Second Intern. Conf. on Sustainable Devel. and Planning, pp. 1599-1611.doi: 10.2495/SPD051562 https://doi.org/10.2495/SPD051562
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Περίληψη

The spatial analysis of an urban landscape presents many difficulties due to the various elements that have to be recorded, to the multiple interactions between them, and also due to the fact that these data are spatially distributed and some times temporal. A subdivision of an urban landscape to visually homogeneous areas would be very useful in understanding problems that exist in urban environments and in decision-making. Also detecting similarities and differences between neighbourhoods would be very useful for urban sustainable development, for real estate purposes, and for tourism activities. The designers of urban transport systems and road infrastructure should also be aware of the landscape patterns that exist in an urban area. This kind of spatial analysis can be faced using a GIS, as this is the only system which includes all those methodologies and techniques of the spatial analysis science. This paper presents a spatial analysis of visual environmental information that took place in Zografos Municipality in Athens. The collected data were entered into a spatial database and the total area was classified into three homogeneous sub-areas. Further on an attempt was made for the detection of similarities and differences within six neighbourhoods. The results of the analysis are discussed and suggestions for further investigation are made. Keywords: urban landscape, visual elements, spatial analysis, GIS, classification.

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