Green spaces in urban areas, especially in large industrial cities entail different implications. The green space improves the environment of the cities and on the other hand it creates proper conditions for the recreation and leisure of the citizens in terms of distribution of urban green space. In this research, maps of parks was depicted by digital atlas of Tehran parks and by using of ArcMap and IDRISI software, Then by using applying selected landscape metrics including (CA, PD, PLAND, MPS, LPI, LSI, MNN, Shape-MN), and using Fragstats software, a series of quantitative data about spatial pattern of Tehran parks was resulted. Composition, configuration, expanse and continuity of parks were also analyzed. Only six percent of the landscape was assigned by the green space activity studied in three neighborhood, district, and regional parks classes. Neighborhood parks have the best spatial pattern in comparison with other classes and spatial pattern of regional parks were unfavorable in comparison with neighborhood and district parks.
salmannezhad, L., feghhe, J., makhdoum, M., & namereyan, M. (2015). Spatial Pattern Analyse of Tehran Parks by Using
Landscape |Metrics. Environmental Researches, 5(9), 25-34.
MLA
laela salmannezhad; jahangeir feghhe; majid makhdoum; manouchehr namereyan. "Spatial Pattern Analyse of Tehran Parks by Using
Landscape |Metrics". Environmental Researches, 5, 9, 2015, 25-34.
HARVARD
salmannezhad, L., feghhe, J., makhdoum, M., namereyan, M. (2015). 'Spatial Pattern Analyse of Tehran Parks by Using
Landscape |Metrics', Environmental Researches, 5(9), pp. 25-34.
VANCOUVER
salmannezhad, L., feghhe, J., makhdoum, M., namereyan, M. Spatial Pattern Analyse of Tehran Parks by Using
Landscape |Metrics. Environmental Researches, 2015; 5(9): 25-34.
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