Spatiotemporal analysis of rural–urban land conversion

Huang, Bo; Zhang, Li; Wu, Bo

doi:10.1080/13658810802119685

Cited by 152 publications

(79 citation statements)

References 24 publications

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“…This finding is different from those in previous studies [14,25,50,51]. This may be because the development type of the study area was not taken into consideration in previous studies.…”

Section: The Change In the Relative Importance Of Driverscontrasting

confidence: 56%

Spatiotemporal Variation of Driving Forces for Settlement Expansion in Different Types of Counties

Dong

Zhang

2015

Sustainability

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Understanding the process of settlement expansion and the spatiotemporal variation of driving forces is the foundation of rational and specific planning for sustainable development. However, little attention has been paid to the spatiotemporal differences of driving forces among different counties, especially when they are representatives of different development types. This study used Guanyun, Kunshan and Changshu as case studies, and binary logistic regression was employed. The results showed that the expansion rates of Kunshan and Changshu were 5.55 and 3.93 times higher than that of Guanyun. The combinations and relative importance of drivers varied with counties and periods. The change in the number of driving forces can be divided into three stages: increasing stage, decreasing stage, and stable stage. In the relatively developed counties, Kunshan and Changshu, the importance of population is decreased, while it remain an important factor in the less developed county, Guanyun. In addition, the effect of GDP stays the same in Kunshan while it becomes the most important factor in Changshu. The distance to the main road and the distance to town are increasingly important in Kunshan and Guanyun, and distance to town has been the only common factor in the last period, indicating the discrepancy is increased. The relative importance of distance to a lake in Kunshan and Changshu increased, reflecting the role of increasing tourism in accelerating settlement expansion.

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“…This finding is different from those in previous studies [14,25,50,51]. This may be because the development type of the study area was not taken into consideration in previous studies.…”

Section: The Change In the Relative Importance Of Driverscontrasting

confidence: 56%

Spatiotemporal Variation of Driving Forces for Settlement Expansion in Different Types of Counties

Dong

Zhang

2015

Sustainability

View full text Add to dashboard Cite

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“…Recently, some new auxiliary algorithm model such as auto Logistic, smoothed Logistic and fractal analysis were used to improve classic Logistic model Huang et al, 2009). In this study, the classic Logistic model was used, because it was widely validated.…”

Section: Discussionmentioning

confidence: 99%

“…Selection of variables is crucial for using Logistic method to effectively identify the factors affecting land use change. Studies showed that driving forces of land use changes varied greatly, e.g., in developing and developed countries Huang et al, 2009;Nong et al, 2011), and in mountain or agricultural areas and urban areas (Huang et al, 2007;Liu et al, 2007;Xie et al, 2008;Zeng et al, 2009). To capture all the possible factors affecting farmland changes, this study selected 11 indicators covering physical, location and socioeconomic aspects.…”

Section: Discussionmentioning

confidence: 99%

Farmland changes and the driving forces in Yucheng, North China Plain

Zhao

Fan

2012

J. Geogr. Sci.

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Taking Yucheng, a typical agricultural county in Shandong Province as a case, this study applied Logistic regression models to spatially identify factors affecting farmland changes. Using two phases of high resolution imageries in 2001 and 2009, the study obtained the land use and farmland change data in [2001][2002][2003][2004][2005][2006][2007][2008][2009]. It was found that the farmland was reduced by 5.14% in the period, mainly due to the farmland conversion to forest land and built-up land, although part of forest land and unused land was converted to farmland. The results of Logistic regressions indicated that location, population growth and farmer income were main factors affecting the farmland conversion, while soil types and pro-curvature were main natural factors controlling the distribution of farmland changes. Regional differences and temporal-spatial variables of farmland changes affected fitting capability of the Logistic regression models. The ROC fitting test indicated that the Logistic regression models gave a good explanation of the regional land-use changes. Logistic regression analysis is a good tool to identify major factors affecting land use change by quantifying the contribution of each factor.

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“…Support vector machines (SVMs) will be applied to analyze LULC change trends in the Pearl River Delta (PRD) region [25]. The previous studies and recent results of LULC changes will be used to compare with the annual sediment yields and critical source areas of erosion for the PRD region since the 1980s, by which the annual characteristics of water quality in the study area and its spatial and temporal variation can be further understood.…”

Section: Lulc Trends Analysismentioning

confidence: 99%

Investigating the Impacts of Landuse-landcover (LULC) Change in the Pearl River Delta Region on Water Quality in the Pearl River Estuary and Hong Kong’s Coast

Zhang

Wang

et al. 2009

Remote Sensing

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Water quality information in the coastal region of Hong Kong and the Pearl River Estuary (PRE) is of great concern to the local community. Due to great landuse-landcover (LULC) changes with rapid industrialization and urbanization in the Pearl River Delta (PRD) region, water quality in the PRE has worsened during the last 20 years. Frequent red tide and harmful algal blooms have occurred in the estuary and its adjacent coastal waters since the 1980s and have caused important economic losses, also possibly threatening to the coastal environment, fishery, and public health in Hong Kong. In addition, recent literature shows that water nutrients in Victoria Harbor of Hong Kong have been proven to be strongly influenced by both the Pearl River and sewage effluent in the wet season (May to September), but it is still unclear how the PRE diluted water intrudes into Victoria Harbor. Due to the cloudy and rainy conditions in the wet season in Hong Kong, ASAR images will be used to monitor the PRE river plumes and track the intruding routes of PRE water nutrients. In this paper, we first review LULC change in the PRD and then show our preliminary results to analyze water quality spatial and temporal information from remote observations with different sensors in the coastal region and estuary. The study will also emphasizes on time series of analysis of LULC trends related to annual sediment yields and critical source areas of erosion for the PRD region since the 1980s.

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Spatiotemporal analysis of rural–urban land conversion

Cited by 152 publications

References 24 publications

Spatiotemporal Variation of Driving Forces for Settlement Expansion in Different Types of Counties

Spatiotemporal Variation of Driving Forces for Settlement Expansion in Different Types of Counties

Farmland changes and the driving forces in Yucheng, North China Plain

Investigating the Impacts of Landuse-landcover (LULC) Change in the Pearl River Delta Region on Water Quality in the Pearl River Estuary and Hong Kong’s Coast

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