A number of studies have shown that urban green space (UGS) can improve the health and well-being of urban residents. However, the commonly used UGS measurement method has its obvious limitations, such as abrupt changes of measurement results in adjacent sites and complex operation process. This paper proposed a new approach to measure surrounding greenness based on moving window method, and identified its characteristics and applicability by comparison with the grid method and the buffer method in the core area of Székesfehérvár, Hungary. Spatial distribution, average, standard deviation and correlation were compared between the three kinds of measurement results. In general, all above three methods could describe the variety of surrounding greenness in areas with different building density, and the result of moving window method was more similar to the result of grid method. The descending order of the probability of contacting surrounding greenness is residential area, research area and commercial area. Statistically significant associations were found between the measurement results of the moving window method and the grid method as well as the moving window method and the buffer method (both R2 > 0.87). Moreover, moving window method was well suited for measuring surrounding greenness because of its ability to describe spatial distribution in more details.

中文翻译：

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移动窗口法：测量周围绿度的有效方法

多项研究表明，城市绿地（UGS）可以改善城市居民的健康和福祉。然而，常用的UGS测量方法有其明显的局限性，如相邻站点测量结果突变、操作过程复杂等。本文提出了一种基于移动窗口法测量周围绿度的新方法，并通过与匈牙利Székesfehérvár核心区的网格法和缓冲区法进行对比，确定了其特点和适用性。比较了三种测量结果的空间分布、平均值、标准差和相关性。总的来说，以上三种方法都可以描述不同建筑密度区域周围绿化的变化，移动窗口法的结果更接近于网格法的结果。接触周边绿地的概率从高到低依次为住宅区、研究区和商业区。在移动窗口方法和网格方法以及移动窗口方法和缓冲区方法的测量结果之间发现了统计学上显着的关联（R2 > 0.87）。此外，移动窗口方法非常适合测量周围的绿色度，因为它能够更详细地描述空间分布。在移动窗口方法和网格方法以及移动窗口方法和缓冲区方法的测量结果之间发现了统计学上显着的关联（R2 > 0.87）。此外，移动窗口方法非常适合测量周围的绿色度，因为它能够更详细地描述空间分布。在移动窗口方法和网格方法以及移动窗口方法和缓冲区方法的测量结果之间发现了统计学上显着的关联（R2 > 0.87）。此外，移动窗口方法非常适合测量周围的绿色度，因为它能够更详细地描述空间分布。