Entropy Approach for Assessment of Urban Growth: A Case Study of Jaipur, INDIA

Punia, Milap; Singh, Laxman

doi:10.1007/s12524-011-0141-z

Cited by 68 publications

(34 citation statements)

References 10 publications

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“…In the present study, built up area (grid wise) has been considered as the geophysical variable, which enables to determine the urban sprawl. Based on this idea, Shannon's Entropy, when integrated with GIS, has proved to be a simple but efficient approach for the measurement of urban sprawl (Shekhar, 2004;Punia and Singh, 2012). This value ranges from 0 to log n, indicating very compact distribution for values closer to 0.…”

Section: Materials and Methodologymentioning

confidence: 99%

Geospatial Analysis of Urban Sprawl Patterns in Amritsar City, Punjab, India

Minakshi¹,

Singh²

2017

IJAIS

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Amritsar is the largest and most important city in northern Punjab. Amritsar serves as a major commercial, cultural, and transportation hub with Golden Temple & Raja Sansi international airport. It lies about 25 km east of the border with Pakistan and gateway for travelers coming to India on the overland route from central Asia. The present study attempts to understand, detect and quantify the spatial pattern of Amritsar urban sprawl using Shannon's entropy and multitemporal satellite images acquired for the period from 1972 to 2015. Shannon's entropy has been used to model the city's urban sprawl, trend and spatial change. The entropy values for the different grids were modeled and the interpolation function in ArcGIS is used to obtain an entropy surface for each acquired temporal image. The entropy surface index indicates the spatial pattern of the urban sprawl and facilitates to visual assess the entropy phenomenon in all the grids. The value of Shannon's entropy index increased from (0.40) in year 1972 to (0.97) in year 2015, indicating more dispersed urban growth, an indication of urban sprawl. Results obtained from entropy indices help in understanding the sprawl patterns and dynamics among different grids and provide a visual comparison which facilitates the decision makers and city planners for measuring the urban sprawl required for mega cities.

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Section: Materials and Methodologymentioning

confidence: 99%

Geospatial Analysis of Urban Sprawl Patterns in Amritsar City, Punjab, India

Minakshi¹,

Singh²

2017

IJAIS

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“…Shannon's entropy index was employed for assessing the degree of compactness and dispersion of urban physical growth (Lata et al 2001;Yeh and Li 2001;Sudhira et al 2003;Li and Yeh 2004;Sudhira, Ramachandra, and Jagadish 2004;Kumar, Pathan, and Bhanderi 2007;Punia and Singh 2012). Shannon's entropy, H n , is given by Equation 1:…”

Section: Shannon's Entropy Indexmentioning

confidence: 99%

“…ecosystem, and social consequences (Barnes, Morgan, and Roberge 2001;Berling-Wolff and Wu 2004;Taubenb€ ock et al 2008;Punia and Singh 2012;Haregeweyn et al 2012;Zeng, He, and Cui 2014). So, the phenomena of such physical expansion of large cities needs to be studied, understood, measured, monitored, and analyzed properly at different spatial and temporal dimensions to ensure planned urban growth and for sustainable urban planning in the future.…”

mentioning

confidence: 99%

“…Urban built-up landscape consisting of all man-made structures and impervious surfaces is employed as an efficient and straightforward parameter or indicator for quantifying urban expansion and urban sprawl (Torrens and Alberti 2000;Barnes, Morgan, and Roberge 2001;Sudhira et al 2003;Sudhira, Ramachandra, and Jagadish 2004;Cabral and Zamyatin 2006;Kumar, Pathan, and Bhanderi 2007;Jat, Garg, and Khare 2008;Bhatta 2009;Feng 2009;Wang, Ju, and Li 2009;Bhatta, Saraswati, andBandyopadhyay 2010a, 2010b;Rahman et al 2011;Punia and Singh 2012;Pandey, Kumar, and Jeyaseelan 2013;Sharma and Joshi 2013). Urban built-up surface can be considered as a pattern of urban expansion, which is the spatial configuration of physical expansion of a city at a particular point in time, and a process of urban expansion, which deals with change in such spatial configuration over time (Bhatta 2009(Bhatta , 2010(Bhatta , 2012.…”

mentioning

confidence: 99%

“…Many studies consider a total city system as a unit of analysis (Jat, Garg, and Khare 2008). Many researchers, however, also consider smaller parts of the whole as levels of analysis, such as the ward or borough level in a city (Herold, Goldstein, and Clarke 2003;Punia and Singh 2012), arbitrarily created subzones within a city (Bhatta 2009;Bhatta, Saraswati, andBandyopadhyay 2010a, 2010b), concentric circles of specific width (Ramachandra, Aithal, and Sanna 2012;Sowmyashree 2014, 2015) encircling a city center, and so on. Moreover, sometimes, zonal and city level (Wang, Ju, and Li 2009) are considered at the same time to analyze the urban built-up growth.…”

mentioning

confidence: 99%

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