Simultaneous Spatial and Functional Form Transformations
Simultaneous Spatial and Functional Form Transformations
复制标题
同时进行空间和功能形式转换
DOI：
10.1007/978-3-662-05617-2_9
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
C. Sirmans
中科院分区：
文献类型：
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作者：
R. Pace;Ronald P. Barry;V. Slawson;C. Sirmans
全球定位系统(GPS)和低成本、高质量的地理信息系统(GIS)等技术进步导致具有每个观测的位置坐标的大型数据集的数量激增。例如，人口普查提供了美国超过250,000个地点(区块组)的大量数据。此外，地理信息系统通常可以提供街道地址的大致位置坐标(地理编码)。考虑到包含街道地址字段的大量商业信息，这允许创建极大的空间数据集。这种数据以及其他类型的空间数据往往表现出空间相关性，因此需要空间统计方法来进行有效的估计、有效的推断和最优预测。
Technological advances such as the global positioning system (GPS) and low-cost, high-quality geographic information systems (GIS) have led to an explosion in the volume of large data sets with locational coordinates for each observation. For example, the Census provides large amounts of data for over 250,000 locations in the US (block groups). Moreover, geographic information systems can often provide approximate locational coordinates for street addresses (geocoding). Given the volume of business information, which contains a street address field, this allows the creation of extremely large spatial data sets. Such data, as well as other types of spatial data, often exhibit spatial dependence and thus require spatial statistical methods for efficient estimation, valid inference, and optimal prediction.