三维地图在政治地理课程学习中的应用是人工智能的应用之一

Mahmoud Khalifa, W. Nageab
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引用次数: 0

摘要

近年来,地理空间信息系统(GIS)出现了向智能空间分析的重大转变,其中涉及处理大量地理数据,即所谓的大地理数据(Geodata Big)。通过这种处理和分析,可以提取有价值的信息,用于决策过程。智能地图作为地理信息平台,通过提供有关地理特征和现象的数据、统计资料和信息,在决策过程中发挥着至关重要的作用。三维地图能够对地球表面或定制地图上的地理和时间数据进行可视化分析。用户可以通过三维地图观察随时间发生的变化,并创建可与他人共享的交互式可视化导览。智能地图的应用多种多样,包括监视、监测、导航和确定通往特定地点的最佳路线。人工地理智能(AI-Geo)应用通过利用在各种数据集上训练的智能模型,进一步增强了 GIS 的功能。这些模型能够从卫星图像、航空照片和其他来源中识别和提取地理现象。AIGeo 应用程序已在制图以外的众多领域发挥作用,提供有价值的见解并促进决策过程。本摘要强调了智能空间分析在地理信息系统中日益增长的重要性,特别是通过使用智能地图和人工智能地理应用。通过利用这些技术,企业可以利用地理空间数据的力量做出明智的决策,并深入了解地理现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Three-Dimensional Maps in the Study of the Political Geography Course as One of the Applications of Artificial Intelligence
In recent years, Geospatial Information Systems (GIS) have witnessed a significant shift towards smart spatial analytics, which involves the processing of large volumes of geographic data, known as big geographic data (Geodata Big). This processing and analysis enable the extraction of valuable information that can be utilized in decision-making processes. Smart maps, as geographic information platforms, play a crucial role in decision-making by providing data, statistics, and information about geographic features and phenomena. Three-dimensional maps offer the capability to visualize and analyze geographic and temporal data on Earth's surface or custom maps. They enable users to observe changes over time and create interactive visual tours that can be shared with others. The applications of smart maps are diverse and include surveillance, monitoring, navigation, and determining optimal routes to specific locations. Artificial-Geo intelligence (AI-Geo) applications have further enhanced GIS capabilities by utilizing intelligent models trained on various datasets. These models enable the identification and extraction of geographic phenomena from satellite imagery, aerial photographs, and other sources. AIGeo applications have found utility in numerous domains beyond mapping, providing valuable insights and facilitating decision-making processes. This abstract highlights the growing importance of smart spatial analytics in GIS, particularly through the use of smart maps and AI-Geo applications. By leveraging these technologies, organizations can harness the power of geospatial data to make informed decisions and gain deeper insights into geographic phenomena.
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