Progress in studies on automated generalization of spatial point cluster
文献类型：会议论文
| 作者 | Hu P. ; Qi H. W. ; Liu Z. L. ; Ieee |
| 出版日期 | 2004 |
| 关键词 | automated generalization spatia point cluster optimum method |
| 页码 | 2841-2844 |
| 英文摘要 | In the field of computer-assisted cartography, cartographic generalization is one of the basic theories and methods of cartography. It is not only an abstract cognition of objective world, but also an important means of spatial information transformation and an important step of cartography. In digital environment, especially in GIS, all kinds of geographic entities and phenomena on the earth's surface are abstracted as point, line, and polygon. Point cluster is one of the most important objects in the spatial analysis. In GIS, size, direction and shape of spatial points are not vital, however the holistic spatial configuration of spatial point cluster can represent the is hole characteristic of point cluster. Thus, the whole spatial configuration of point cluster must be taken into account in cartographic generalization. In this paper, the former generalization methods of spatial point cluster are discussed in detail, including statistics, settlement-spacing ratio, gravity modeling, distribution-coefficient control, circle growth, convex hull and Delaunay triangulation structure. The advantages and disadvantages of those methods are appraised. For these methods, reduction of spatial points is settled commendably, but there are still insufficiencies of maintaining the boundary and spatial structure of spatial point cluster. In the end, the optimum method to improve on maintaining the structure of spatial point cluster is set forth and the content of this method is designed in brief. |
| 收录类别 | CPCI |
| 会议录出版者 | Ieee |
| 语种 | 英语 |
| ISBN号 | 0-7803-8742-2 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25123]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Hu P.,Qi H. W.,Liu Z. L.,et al. Progress in studies on automated generalization of spatial point cluster[C]. 见:. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。