Measuring Geographic Concentration by Means of the Standard Deviational Ellipse

Lefever, D. Welty

doi:10.1086/214027

Cited by 450 publications

(220 citation statements)

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“…To further investigate the evolution of the socioeconomic situation during the process of urbanization in the MYRB urban agglomeration, the standard deviational ellipse (SDE) [66] and the gravity model [67] were used in this paper to better understand the direction of spatial evolution and spatial connections between the cities. The SDE can represent the gravitational center, range, and intensity, and represent the direction of discrete datasets and the temporal change of their form [68].…”

Section: Evolution Of the Spatial Structure In The Myrb Urban Agglomementioning

confidence: 99%

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Liu

Chen

2017

Remote Sensing

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Detailed studies on the spatiotemporal patterns of urban agglomeration in the Middle Yangtze River Basin (MYRB) are rare. This paper analyzed the spatiotemporal patterns of urbanization in the MYRB using multi-temporal remote sensing data circa 2000, 2008 and 2016 integrated with geographic information system (GIS) techniques and landscape analysis approaches. A multi-level analysis of the rate and intensity, type as well as the landscape changes of urban expansion at regional, prefectural and inner-city levels was performed. Results show that the MYRB experienced rapid urban expansion with an annual expansion rate of 3.199%, especially in the Chang-Zhu-Tan and Poyang Lake metropolitan areas. The small and medium cities presented faster urban expansion than the larger cities with annual growth rates three times the average level. Urban expansion within the three capital cities was further analyzed in detail. It is found that outlying expansion and edge-expansion were the dominant growth patterns at all the three levels. Although urbanization in the MYRB has a remarkable increase in the past sixteen years, its annual growth rate of urban land expansion has fallen behind the three other large urban agglomerations in China as a result. Finally, the spatial evolution of the socioeconomic structure of the MYRB was further explored. It indicated that urban land was distributed mainly along the "northwest-southeast" direction and that the economic spatial interactions among cities showed a pattern of "multi-polarization and fragmentation", which illustrates the weak radiative driving forces of the central cities. The MYRB urban agglomeration faces a great challenge to manage trades-offs between narrowing the intra-regional disparity and maintaining synergetic development among cities.

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Section: Evolution Of the Spatial Structure In The Myrb Urban Agglomementioning

confidence: 99%

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Liu

Chen

2017

Remote Sensing

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“…Recently, It has been embedded in ArcGIS to analyze the distribution characteristics of point sets, and this method has been widely used [46]. The specific calculation process is given in [47].…”

Section: Standard Deviational Ellipsementioning

confidence: 99%

Spatiotemporal Dynamics and Drivers of Farmland Changes in Panxi Mountainous Region, China

Chen

2016

Sustainability

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Due to the multiple impacts of landform effects, spatial heterogeneity and land use policies, farmland dynamics in mountainous areas are complicated. This study investigated farmland dynamics based on land use data from a typical mountainous area, Panxi, in China for 1990, 2000 and 2010, discussed the relationship between altitude, slope and farmland changes and presented an analysis of the driving forces of farmland change. Our findings are as follows: (1) from 1990 to 2010, the area of converted farmland was relatively small (313 km 2 ), accounting for only 2.6% of the region's farmland. Farmland was mainly converted to forest and grassland as a result of the Returning Farmland to Forest Program; (2) The spatial distribution of land use types differed significantly. The presence of water bodies influenced farmland and built-up land, while forest and grassland showed "landform-oriented" characteristics. Built-up land was especially variable in distribution, indicating that it was more vulnerable to human activities; (3) The vertical differentiation of farmland changes was obvious. At altitudes <2500 m, the data displayed a trend of conversion from forest to farmland, while at >2500 m, this trend reversed. Thus, 2500 m serves as an altitudinal boundary between farmland and forest in Panxi. The largest area of forest-farmland transfer occurred on slopes steeper than 15 • , not 25 • , as defined by China's policy of Returning Farmland to Forest; (4) The driving forces of farmland changes varied. Decreases in farmland were negatively correlated with proximity to rivers and roads. Increases in farmland were positively related to temperature and negatively related to both population density and altitude.

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“…A Standard Deviational Ellipse (SDE) or a Cross of Dispersion [8] extends the normal distribution for two values. This 2-Dimensional pattern describes the dispersion of spatial data around the mean.…”

Section: Patterns For a Normal Distributionmentioning

confidence: 96%

State of the Art in Patterns for Point Cluster Analysis

Emmanuel

Devogèle

McArdle

2014

Computational Science and Its Applications – ICCSA 2014

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Abstract. Nowadays, an abundance of sensors are used to collect very large datasets containing spatial points which can be mined and analyzed to extract meaningful patterns. In this article, we focus on different techniques used to summarize and visualize 2D point clusters and discuss their relative strengths. This article focuses on patterns which describe the dispersion of data around a central tendency. These techniques are particularly beneficial for detecting outliers and understanding the spatial density of point clusters.

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Measuring Geographic Concentration by Means of the Standard Deviational Ellipse

Cited by 450 publications

References 0 publications

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Spatiotemporal Dynamics and Drivers of Farmland Changes in Panxi Mountainous Region, China

State of the Art in Patterns for Point Cluster Analysis

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