Uncovering Relationships Between Geo-Statistical and Spatial Autoregressive Modelling

调查员承诺完成建立两个独立的当代统计领域，即地理统计和空间统计之间的联系。 这些联系是通过以下方式建立的：（1）分析这两个子领域中流行的科学模型;（2）在应用这些模型的地理区域的大小和形状的背景下评估这些模型;（3）研究地理方向在保持或改变这些联系中所起的作用;以及（4）通过研究这些模型对于地理地图的性质，在地理地图上相似或显著不同的分类颜色编码倾向于聚集。 大部分理论研究将使用计算机进行。 选定的美国环保署环境监测和评估计划（EMAP）的数据已经获得的切萨皮克和特拉华州河口和东北森林清单将用于实证分析和示范的目的。 这项研究的实际重要性出现在美国环保署EMAP项目，一个主要的国家奋进，其中统计数据被应用于环境问题以及监测和分析事业。 阐明地理和空间统计的共同基础将更好地实现对大量地理参照或位置标记的电子地图评估方案数据的一致统计应用和分析。 目前正在收集这些数据，并以覆盖美国大陆的约12 600个六边形网络为地理参照。

The investigator undertakes to complete establishing connections between two separate contemporary areas of statistics, namely geo- and spatial statistics. These connections are developed (1) by analyzing popular scientific models in both of these sub-fields; (2) by evaluating these models within the context of the sizes and shapes of geographic regions to which they are applied; (3) by studying the role geographic direction plays in preserving or altering these connections; and (4) by investigating properties of these models for geographic maps upon which similar or markedly different classificatory color codings tend to cluster. Much of the theoretical research will be pursued with the use of computers. Selected U.S. EPA Environmental Monitoring and Assessment Program (EMAP) data already obtained for the Chesapeake and Delaware estuaries and the northeast forest inventory will be used for empirical analysis and demonstration purposes. The practical importance of this proposed research arises within the U.S. EPA EMAP project, a major national endeavor in which statistics are being applied to environmental issues as well as monitoring and analysis undertakings. Articulation of a common foundation for geo- and spatial statistics will better enable consistent statistical application and analysis of the massive amounts of geo-referenced, or locationally tagged, EMAP data becoming available. These data currently are being collected and geo-referenced in terms of a network of approximately 12,600 hexagons overlayed on the continental United States.