areal model

简明释义

平面模型;

英英释义

例句

1.The areal model 区域模型 used in this study helps visualize land use changes over time.

本研究中使用的区域模型有助于可视化土地利用随时间的变化。

2.An effective areal model 区域模型 can aid city planners in making informed decisions.

有效的区域模型可以帮助城市规划者做出明智的决策。

3.In geography classes, students often learn how to create an areal model 区域模型 of their local environment.

在地理课上，学生们通常学习如何创建他们本地环境的区域模型。

4.The areal model 区域模型 incorporates various data layers to enhance accuracy.

该区域模型结合了多个数据层以提高准确性。

5.The researchers developed an areal model 区域模型 to simulate urban growth patterns over the next decade.

研究人员开发了一个区域模型来模拟未来十年的城市增长模式。

作文

In the realm of geographic studies, the concept of an areal model (区域模型) plays a crucial role in understanding spatial relationships and patterns. An areal model is essentially a representation of a specific area that helps researchers analyze various phenomena, such as population distribution, land use, and environmental changes. By employing such models, geographers can visualize and quantify the complexities of different regions, leading to more informed decision-making in urban planning and resource management.One of the primary applications of an areal model is in the field of urban geography. Cities are dynamic entities that evolve over time due to various factors including economic development, migration, and policy changes. An areal model allows urban planners to simulate these changes and assess their potential impacts on infrastructure, transportation, and public services. For instance, by creating a detailed areal model of a city, planners can identify areas that are likely to experience population growth and allocate resources accordingly. This proactive approach not only enhances the efficiency of urban development but also improves the quality of life for residents.Moreover, areal models are instrumental in environmental studies. Researchers often use these models to examine the effects of climate change on specific regions. By analyzing data such as temperature variations, precipitation patterns, and land cover changes within an areal model, scientists can predict how ecosystems will respond to ongoing environmental shifts. This information is vital for developing strategies to mitigate adverse effects, such as habitat loss and biodiversity decline.In addition to urban and environmental applications, areal models are also valuable in the field of social sciences. They can help sociologists and demographers understand the spatial distribution of social phenomena, such as crime rates or health disparities. By mapping these issues onto an areal model, researchers can identify trends and correlations that might not be evident through traditional analysis. For example, a study utilizing an areal model might reveal that certain neighborhoods with limited access to healthcare facilities have higher rates of chronic illnesses. This insight can inform public health initiatives aimed at addressing these disparities.Furthermore, the advancement of technology has significantly enhanced the capabilities of areal models. Geographic Information Systems (GIS) allow for the integration of various data sources into a cohesive model, enabling more sophisticated analyses. With GIS, researchers can manipulate and visualize data in real-time, making it easier to explore different scenarios and outcomes. This technological integration not only improves the accuracy of areal models but also makes them more accessible to a wider audience, including policymakers and community organizations.In conclusion, the significance of the areal model (区域模型) in geographic research cannot be overstated. Its applications span across urban planning, environmental studies, and social sciences, providing valuable insights into the complexities of spatial relationships. As technology continues to evolve, the potential for areal models to influence decision-making and policy development will only grow. By harnessing the power of these models, we can better understand our world and work towards creating sustainable and equitable communities.

在地理研究领域，区域模型（areal model）的概念在理解空间关系和模式中发挥着至关重要的作用。区域模型本质上是对特定区域的表示，帮助研究人员分析各种现象，例如人口分布、土地利用和环境变化。通过采用此类模型，地理学家可以可视化和量化不同地区的复杂性，从而在城市规划和资源管理中做出更明智的决策。区域模型的主要应用之一是在城市地理学领域。城市是动态实体，由于经济发展、迁移和政策变化等各种因素而不断演变。区域模型允许城市规划者模拟这些变化并评估其对基础设施、交通和公共服务的潜在影响。例如，通过创建一个详细的区域模型，规划者可以识别出可能经历人口增长的区域，并相应地分配资源。这种前瞻性的方法不仅提高了城市发展的效率，还改善了居民的生活质量。此外，区域模型在环境研究中也起着重要作用。研究人员经常使用这些模型来检查气候变化对特定地区的影响。通过分析如温度变化、降水模式和土地覆盖变化等数据，科学家可以预测生态系统将如何对持续的环境变化做出反应。这些信息对于制定减轻不利影响的策略至关重要，例如栖息地丧失和生物多样性下降。除了城市和环境应用，区域模型在社会科学领域也非常有价值。它们可以帮助社会学家和人口统计学家理解社会现象的空间分布，例如犯罪率或健康差异。通过将这些问题映射到区域模型上，研究人员可以识别出趋势和相关性，这些在传统分析中可能并不明显。例如，利用区域模型进行的研究可能会揭示某些医疗设施匮乏的社区具有更高的慢性疾病发生率。这一见解可以为针对这些差异的公共卫生倡议提供信息。此外，技术的进步显著增强了区域模型的能力。地理信息系统（GIS）允许将各种数据源整合到一个统一的模型中，从而实现更复杂的分析。借助GIS，研究人员可以实时操作和可视化数据，更容易探索不同的情景和结果。这种技术整合不仅提高了区域模型的准确性，而且使其对更广泛的受众（包括决策者和社区组织）更加可及。总之，区域模型（areal model）在地理研究中的重要性不容小觑。它的应用范围涵盖城市规划、环境研究和社会科学，为理解空间关系的复杂性提供了宝贵的见解。随着技术的不断发展，区域模型对决策和政策制定的影响潜力将只会增加。通过利用这些模型的力量，我们可以更好地理解我们的世界，并致力于创建可持续和公平的社区。