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Urban tourism development in relation with shopping tourism case study: city of Baneh

100%

Zoghi A., Khosravi B.

International Letters of Natural Sciences

2014

tom 11

nr 1

The current research is written with the aim of identifying and explaining weakness, strength points, opportunities and threats facing tourism development of the city of Baneh, relation of urban tourism with shopping tourism and formulation of an optimal strategy using the SWOT strategic analysis. Today, tourism has become an important economic reality that exists in all places with peculiar qualities and attributes. Urban environments constitute the most important human environments that involve various facilities and infrastructure as well as main political, educational and recreational centers. These environments due to different attributes are visited by tourists. In the current research which is descriptive-analytical, by understanding weak and strength points, potentials and facilities of the city of Baneh, a strategic assessment of the Baneh's tourism with an emphasis on its relation with shopping was done whose results were a preparation of an aggressive strategy based on using the existing opportunities. Results suggest a strong trade zone with various goods that attracts many visitors from all over the country. However the most important problem is the inappropriate quality of communication roads and unofficial economy of this city which are considered as grave threats for the tourism economy of this city.

Assessing the accuracy of the pixel-based algorithms in classifying the urban land use, using the multi spectral image of the IKONOS satellite (Case study, Uromia city)

80%

Safaralizade E., Husseinzade R., Pashazade G., Khosravi B.

International Letters of Natural Sciences

2014

tom 06

With the development of urbanization and expansion of urban land use, the need to up to date maps, has drawn the attention of the urban planners. With the advancement of the remote sensing technology and accessibility to images with high resolution powers, the classification of these land uses could be executed in different ways. In the current research, different algorithms for classifying the pixel-based were tested on the land use of the city of Urmia, using the multi spectral images of the IKONOS satellite. Here, in this method, the algorithms of the supervised classification of the maximum likelihood, minimum distance to mean and parallel piped were executed on seven land use classes. Results obtained using the error matrix indicated that the algorithm for classifying the maximum likelihood has an overall accuracy of 88/93 % and the Kappa coefficient of 0/86 while for the algorithms of minimum distance to mean and parallel piped , the overall accuracy are 05/79 % and 40/70 % respectively. Also, the accuracy of the producer and that of the user in most land use classes in the method of maximum likelihood are higher compared to the other algorithms.

Ograniczanie wyników

2 International Letters of Natural Sciences

2 Khosravi B.

1 Husseinzade R.

1 Pashazade G.

1 Safaralizade E.

1 Zoghi A.

2 2014

Wyniki wyszukiwania

Urban tourism development in relation with shopping tourism case study: city of Baneh

Assessing the accuracy of the pixel-based algorithms in classifying the urban land use, using the multi spectral image of the IKONOS satellite (Case study, Uromia city)