| 书目名称 | Mapping and Spatial Modelling for Navigation | | 编辑 | L. F. Pau | | 视频video | | | 丛书名称 | NATO ASI Subseries F: | | 图书封面 |  | | 描述 | The successful implementation of applications in spatial reasoning requires paying attention to the representation of spatial data. In particular, an integrated and uniform treatment of different spatial features is necessary in order to enable the reasoning to proceed quickly. Currently, the most prevalent features are points, rectangles, lines, regions, surfaces, and volumes. As an example of a reasoning task consider a query of the form "find all cities with population in excess of 5,000 in wheat growing regions within 10 miles of the Mississippi River. " Note that this query is quite complex. It requires- processing a line map (for the river), creating a corridor or buffer (to find the area within 10 miles of the river), a region map (for the wheat), and a point map (for the cities). Spatial reasoning is eased by spatially sorting the data (i. e. , a spatial index). In this paper we show how hierarchical data structures can be used to facilitate this process. They are based on the principle of recursive decomposition (similar to divide and conquer methods). In essence, they are used primarily as devices to sort data of more than one dimension and different spatial types. The te | | 出版日期 | Conference proceedings 1990 | | 关键词 | Schiffahrt; artificial intelligence; cartography; computational geometry; control; data structures; image | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-84215-3 | | isbn_softcover | 978-3-642-84217-7 | | isbn_ebook | 978-3-642-84215-3Series ISSN 0258-1248 | | issn_series | 0258-1248 | | copyright | Springer-Verlag Berlin Heidelberg 1990 |
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发表于 2025-3-21 17:16:07
