Study on spatial autocorrelation of urban land price distribution in Changzhou city of Jiangsu Province

Chinese Geographical Science ◽

10.1007/s11769-006-0011-8 ◽

2006 ◽

Vol 16 (2) ◽

pp. 160-164 ◽

Author(s):

Zhong-gang Liu ◽

Man-chun Li ◽

Yan Sun ◽

Wen-bo Ma

Keyword(s):

Spatial Autocorrelation ◽

Jiangsu Province ◽

Price Distribution

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GIS-based spatial autocorrelation analysis and use of aerial photos metrics for land price per plot: a case study of Tembalang sub-district

Journal of Physics Conference Series ◽

10.1088/1742-6596/1918/4/042007 ◽

2021 ◽

Vol 1918 (4) ◽

pp. 042007

Author(s):

S Subiyanto ◽

F J Amarrohman ◽

NDU Giardi

Keyword(s):

Spatial Autocorrelation ◽

Spatial Autocorrelation Analysis ◽

Autocorrelation Analysis ◽

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Modeling fine-scale residential land price distribution: An experimental study using open data and machine learning

Applied Geography ◽

10.1016/j.apgeog.2021.102442 ◽

2021 ◽

Vol 129 ◽

pp. 102442

Author(s):

Peng Zhang ◽

Shougeng Hu ◽

Weidong Li ◽

Chuanrong Zhang ◽

Shengfu Yang ◽

...

Keyword(s):

Machine Learning ◽

Experimental Study ◽

Open Data ◽

Residential Land ◽

Price Distribution

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Theoretical analysis and determining methods for modification coefficients between floor-area rate and urban land price

2011 International Conference on Multimedia Technology ◽

10.1109/icmt.2011.6003205 ◽

2011 ◽

Author(s):

Jinting Zhang ◽

Xuejia Sun ◽

Fei Fang

Keyword(s):

Theoretical Analysis ◽

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Redevelopment and the Urban Land Price Gradient

Journal of Urban Economics ◽

10.1006/juec.1994.1012 ◽

1994 ◽

Vol 35 (2) ◽

pp. 182-200 ◽

Author(s):

Stuart S. Rosenthal ◽

Robert W. Helsley

Keyword(s):

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Study on function of urban land price on land spatial expansion based on the gravity model

2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2010.5569553 ◽

2010 ◽

Author(s):

Wang Li ◽

Feng Zhongjiang ◽

Liang Yanqing ◽

Ge Jingfeng ◽

Liu Yunliang ◽

...

Keyword(s):

Gravity Model ◽

Spatial Expansion ◽

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Urban land price assessment based on GIS and deep learning

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8900516 ◽

2019 ◽

Author(s):

Hongga Li ◽

Xiaoxia Huang ◽

Xia Li

Keyword(s):

Deep Learning ◽

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Correlation between Urban Land Change Process and Socioeconomic Development since the 1980s in Jiangsu Province

Chinese Journal of Population Resources and Environment ◽

10.1080/10042857.2007.10677505 ◽

2007 ◽

Vol 5 (2) ◽

pp. 72-77

Author(s):

Han Shucheng ◽

Pu Lijie ◽

Peng Buzhuo

Keyword(s):

Change Process ◽

Socioeconomic Development ◽

Jiangsu Province ◽

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The use of spatial autocorrelation to analyze changes in spatial distribution patterns of population density in Jiangsu province, China

2011 19th International Conference on Geoinformatics ◽

10.1109/geoinformatics.2011.5980909 ◽

2011 ◽

Author(s):

Mengmeng Yang ◽

Jinsong Ma ◽

Peihong Jia ◽

Yingxia Pu ◽

Gang Chen

Keyword(s):

Spatial Distribution ◽

Population Density ◽

Spatial Autocorrelation ◽

Distribution Patterns ◽

Jiangsu Province ◽

Spatial Distribution Patterns

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The benchmark land price system and urban land use efficiency in China

Chinese Geographical Science ◽

10.1007/s11769-001-0045-x ◽

2001 ◽

Vol 11 (4) ◽

pp. 306-314 ◽

Author(s):

Cheng-ri Ding

Keyword(s):

Land Use ◽

Price System ◽

Urban Land Use ◽

Land Use Efficiency ◽

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Urban Land: Price Indices, Performance, and Leading Indicators

The Journal of Real Estate Finance and Economics ◽

10.1007/s11146-019-09696-x ◽

2019 ◽

Vol 60 (3) ◽

pp. 396-419 ◽

Author(s):

Mark Fitzgerald ◽

David J. Hansen ◽

Will McIntosh ◽

Barrett A. Slade

Keyword(s):

Leading Indicators ◽

Price Indices ◽

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