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相关概念视频

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
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Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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FIGARO-E3:一个高分辨率的扩展多区域输出输入数据库,与官方统计数据一致.

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科学领域:

  • 环境会计环境会计
  • 经济建模经济建模
  • 可持续发展 可持续的发展

背景情况:

  • 现有的多区域输出输出 (MRIO) 数据库缺乏部门细节,无法准确分析环境和社会足迹.
  • 官方数据库通常在细节化和扩展方面存在局限性,这对于全面评估来说是必要的.
  • 需要一个高度分类的MRIO数据库,集成环境和劳动数据.

研究的目的:

  • 为2015年开发FIGARO-E3,一个高度分类的多区域输入输出 (MRIO) 数据库.
  • 扩展数据库以劳动和环境账户,包括温室气体排放和能源使用.
  • 确保与官方统计数据的一致性,同时提供更详细的部门细节.

主要方法:

  • 将官方FIGARO数据库 (46个国家,64个行业/产品) 分解为使用EXIOBASE货币结构的175个行业和213个产品.
  • 使用经合组织和EXIOBASE数据整合劳动账户 (按性别和技能划分的就业).
  • 从IEA和EDGAR数据中纳入来自IEA余额的能源账户和温室气体排放账户 (CO2,CH4,N2O,化气体),并对欧洲国家进行欧盟统计局的调整.

主要成果:

  • 创建FIGARO-E3,为2015年提供详细的MRIO数据库,增强了劳动力和环境扩展.
  • 数据库实现了175个行业和213个产品的分辨率.
  • 劳动力,能源和温室气体排放账户是集成的,并且与官方统计数据基本一致.

结论:

  • 与现有的官方来源相比,FIGARO-E3提供了一个更详细和更广泛的MRIO数据库.
  • 该数据库有助于更准确地计算环境和社会足迹.
  • 菲加罗-E3是经济和环境政策分析和研究的宝贵工具.