因子分析法在城市土地利用研究中的应用

M. Pilicheva, K. Meteshkin, O. Kondrashchenko
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引用次数: 0

摘要

城市正在进行改造、扩建和现代化,妥善的土地管理变得至关重要。因素分析有助于确定需要社会投资的领域,确保所有公民平等获得资源和机会。因此,因子分析在现代条件下土地利用研究中的相关性不需要讨论。因子分析是一种统计方法,它允许您研究众多变量之间的关系,并揭示数据的结构特征。在监测城市土地利用过程中应用因素分析的重要性在于,城市土地资源的负荷很大,这需要对其使用作出明智的决定。因子分析可以识别影响土地使用的关键因素,了解社区的优先事项和需求,评估城市不同区域放置物体的潜力。因子分析也有其优点和缺点。缺点包括:主观性(由于某些因素可以主观确定,存在数据失真或误解的风险),动态性(城市是动态系统)。这意味着它们是不断变化的,今天相关的因素明天可能会失去相关性),解释的复杂性(大量的因素会使解释结果的过程复杂化)。应注意因素分析的积极方面:不断更新数据(旨在收集和获取最新数据,以便准确响应和制定适当的解决方案),整合不同的数据源(将传统数据源与社交网络等新数据源结合起来,有助于更全面地了解情况),采用多学科方法(允许来自不同领域的专家参与,并将对城市的问题和需求有更深入的了解)。因此,城市规划中的因素分析仍然是理解城市复杂关系的最有效工具之一。为了获得最全面的情况,因素分析经常与其他研究方法相结合。一个例子是地理信息系统(GIS)。它们允许你在地图上可视化因子分析的结果,这简化了城市规划层面的决策过程。关键词:空间支撑,土地利用要素,因子分析方法,地理空间数据,规划参数
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FACTOR ANALYSIS AS A METHOD OF URBAN LAND USE RESEARCH
Cities are being rebuilt, expanded, and modernized, and proper land management becomes critical. Factor analysis can help identify areas in need of social investment, ensuring equal access to resources and opportunities for all citizens. Therefore, the relevance of factor analysis in the study of land use in modern conditions does not require discussion. Factor analysis is a statistical method that allows you to study the relationship between numerous variables and reveal the structural features of the data. The importance of the application of factor analysis in the processes of monitoring the use of land in cities lies in the heavy load on the land resources of cities, which requires informed decisions regarding their use. Factor analysis allows identify key factors affecting land use, understand the community's priorities and needs, evaluate the potential of different areas of the city for the placement of objects. Factor analysis also has its advantages and disadvantages. Disadvantages include: subjectivity (since some factors can be subjectively determined, there is a risk of data distortion or misinterpretation), dynamism (cities are dynamic systems. This means that they are constantly changing, and factors that were relevant today may lose their relevance tomorrow), complexity of interpretation (a large number of factors can complicate the process of interpreting the results). Positive aspects of factor analysis should be noted: continuous updating of data (aimed at collecting and obtaining the most recent data for accurate response and development of appropriate solutions), integrating different data sources (which is a combination of traditional and new data sources such as social networks, can help to get a more complete picture of the situation), the use of a multidisciplinary approach (which allows the involvement of experts from various fields and will provide a deeper understanding of the city's problems and needs). Thus, factor analysis in urban planning remains one of the most effective tools for understanding complex relationships in the city. To get the most complete picture of the situation, factor analysis is often combined with other research methods. One example is geographic information systems (GIS). They allow you to visualize the results of factor analysis on maps, which simplifies the decision-making process at the level of urban planning. Keywords: spatial support, land use factors, methods of factor analysis, geospatial data, planning parameters.
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