Shannon’s entropy good for measuring sprawl?
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Shannon's entropy is a useful measure for quantifying urban sprawl. It has been applied in several studies to analyze the spatial structure of urban and suburban neighborhoods and to detect the changes in land use patterns . The Shannon entropy model has been used to show the changes in the built-up area around the center of cities, indicating the rapid increase in urban expansion and the conversion of agricultural land to built-up areas . The results of these studies have shown that Shannon's entropy values above 0.5 indicate dispersedly spread urban sprawl . Therefore, Shannon's entropy can be a valuable tool for measuring and understanding the extent and magnitude of urban sprawl, providing insights for urban planners and decision-makers in implementing sustainable development strategies .
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| Papers (5) | Insight |
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6 Citations | The answer is not provided in the paper. The paper is about a modified spatial entropy for urban sprawl assessment. |
| Yes, Shannon's entropy is used in the paper to measure urban sprawl in Kota Malang by calculating the entropy value of the built-up areas. | |
| The paper mentions that Shannon's entropy approach was used to detect the urban sprawl phenomenon. Therefore, Shannon's entropy is considered a suitable measure for measuring sprawl. | |
10 Feb 2022 2 Citations | The paper mentions that the Shannon entropy measure is used to measure the spatial structure of urban and suburban neighborhood sprawl. Therefore, Shannon's entropy is considered a suitable measure for measuring sprawl. |
| The paper does not explicitly state whether Shannon's entropy is good for measuring sprawl. |
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