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Assessment of the climatic potential for tourism in Iran through biometeorology clustering
by
Yousefi, Robabe
, Roshan, Gholamreza
, Błażejczyk, Krzysztof
in
Bioclimatic indexes
/ Bioclimatology
/ Biometeorology
/ Climate variability
/ Climatic conditions
/ Climatic indexes
/ Clustering
/ Clusters
/ Environmental assessment
/ Maxima
/ Meteorological data
/ Statistical analysis
/ Tourism
2018
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Assessment of the climatic potential for tourism in Iran through biometeorology clustering
by
Yousefi, Robabe
, Roshan, Gholamreza
, Błażejczyk, Krzysztof
in
Bioclimatic indexes
/ Bioclimatology
/ Biometeorology
/ Climate variability
/ Climatic conditions
/ Climatic indexes
/ Clustering
/ Clusters
/ Environmental assessment
/ Maxima
/ Meteorological data
/ Statistical analysis
/ Tourism
2018
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Do you wish to request the book?
Assessment of the climatic potential for tourism in Iran through biometeorology clustering
by
Yousefi, Robabe
, Roshan, Gholamreza
, Błażejczyk, Krzysztof
in
Bioclimatic indexes
/ Bioclimatology
/ Biometeorology
/ Climate variability
/ Climatic conditions
/ Climatic indexes
/ Clustering
/ Clusters
/ Environmental assessment
/ Maxima
/ Meteorological data
/ Statistical analysis
/ Tourism
2018
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Assessment of the climatic potential for tourism in Iran through biometeorology clustering
Journal Article
Assessment of the climatic potential for tourism in Iran through biometeorology clustering
2018
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Overview
This study presents a spatiotemporal analysis of bioclimatic comfort conditions for Iran using mean daily meteorological data from 1995 to 2014, analyzed through Physiological Equivalent Temperature (PET) index and Universal Thermal Climate Index (UTCI) indices, and bioclimatic clustering. The results of this study demonstrate that due to the climate variability across Iran during the year, there is at any point in time a location with climatic condition suitable for tourism. Mean values demonstrate maxima in bioclimatic comfort indices for the country in late winter and spring and minima for summer. Seven statistically significant clusters in bioclimatic indices were identified. Comparing these with clustering performed on PET and UTCI, the maximum overlaps between the two indices. In the following, the outputs of this research showed that most appropriate bioclimatic clustering for Iran includes seven clusters. These clustering locations according to climatic suitability for tourism provide a valuable contribution to tourism management in the country, particularly through marketing destinations to maximize tourist flow.
Publisher
Springer Nature B.V
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