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A preliminary analysis of socio-economic and accessibility attributes and landscape patterns in a coastal urban area

机译:沿海城市地区的社会经济和可及性属性以及景观格局的初步分析

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In this paper, we report the result of our preliminary research that aims to examine how spatio-temporal landscape patterns can be related to socio-economic and accessibility attributes with a coastal urban area as the case. Our research methodology emphasizes the use of remotely sensed data, in combination with census data and other geographically referenced data. We classify two satellite images to derive land use/cover information. Census data are linearly interpolated and redistributed by using the dasymetric mapping technique. Accessibility conditions considered include terrain elevation and slope and separate Euclidian distance measurements of each pixel to selected geographic features. We analyze the empirical relationship between the spatio-temporal landscape patterns and socio-economic and accessibility attributes by using step-wise multivariate regression. Our initial results suggest that socio-economic and accessibility metrics can explain much of the variability of the landscape patterns. Our study demonstrates that remote sensing and GIS-based spatial analysis can be quite useful to examine the possible drivers leading to land use/cover changes; such an understanding can help develop more realistic models for future change prediction, which is critical for environmental planning and management in such a rapidly growing coastal urban area.
机译:在本文中,我们报告了初步研究的结果,旨在研究时空景观格局如何与沿海城市地区的社会经济和可及性属性相关联。我们的研究方法强调结合遥感数据与普查数据和其他地理参考数据的使用。我们对两个卫星图像进行分类,以得出土地利用/覆盖信息。人口普查数据通过使用对称映射技术进行线性插值和重新分配。考虑的可访问性条件包括地形海拔和坡度,以及每个像素与所选地理特征的单独欧几里得距离测量值。我们通过使用逐步多元回归分析时空景观格局与社会经济和可及性属性之间的经验关系。我们的初步结果表明,社会经济和可及性指标可以解释景观格局的大部分可变性。我们的研究表明,遥感和基于GIS的空间分析对于检查可能导致土地利用/覆盖变化的驱动因素非常有用;这种理解可以帮助为未来的变化预测开发更现实的模型,这对于在如此迅速增长的沿海城市地区进行环境规划和管理至关重要。

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