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A New Method with POI Data Applied in the Determination of Urban Functional Agglomeration Regions

机译:一种新方法,采用了在城市功能集聚区的确定中应用了POI数据

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It takes great human, material and financial resources to ensure the data accuracy and currency in the process of updating traditional urban datum land price. Therefore, the access to grading and valuation data for the urban datum land price is needed to more independent and efficient. A new method of data acquisition method is developed in the article, the field work should be reduced as much as possible, for improving work efficiency and making the results of datum land price have more reality and accuracy. The research on network data extraction and analysis during updating of urban datum land price in this article applied the Point of Interest (POI) extraction with density analysis to boundary recognition and grading of functional agglomeration regions represented in industrial areas, as well as extract the spatial position of point grading factor through reclassifying POI data to improve the accuracy of spatial localization. Compared the above results with practical results of land grading based on the renewal of datum land price in a city, it can be shown that the methods provided have obvious advantages in time to improve the accuracy, currency and efficiency of grading data acquisition. The new ideas and methods for acquiring data is provided to achieve the related work and technical requirements of the urban evaluation and planning.
机译:它需要很大的人力,材料和财政资源,以确保在更新传统城市基准降价的过程中的数据准确性和货币。因此,需要对城市基准土地价格进行评分和估值数据,以更加独立和高效。在本文中开发了一种新的数据采集方法方法,应尽可能减少现场工作,以提高工作效率,并使基准降价的结果具有更多现实和准确性。在本文中城市基准土地价格的更新期间网络数据提取和分析研究应用了利益点(POI)提取与密度分析到工业区中代表功能集聚区域的边界识别和分级,以及提取空间点分级因子通过重新分类POI数据来提高空间定位的准确性。将上述结果与土地分级的实际结果相比,基于一个城市的基准土地价格更新,可以表明提供的方法及时具有明显的优势,以提高评分数据采集的准确性,货币和效率。提供了获取数据的新思路和方法,以实现城市评估和规划的相关工作和技术要求。

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