Titlebook: Advances in Spatial Databases; 2nd Symposium, SSD ‘ Oliver Günther,Hans-J?rg Schek Conference proceedings 1991 Springer-Verlag Berlin Heide

HAWK

錯事

Reasoning about binary topological relations,topological relations between .-dimensional point sets embedded in an .-dimensional space. While the combined topological relations are unique for some compositions, more than half of all possible compositions are underdetermined. Geometric prototypes are shown for the 2-dimensional case.

miniature

UNT

Efficient processing of spatial queries in line segment databases,tion is shown to take time proportional to the splitting threshold (similar to the bucket capacity) and is independent of the density of the data. The evaluation uses the road networks in the data of the U.S. Bureau of the Census.

ALLAY

The performance of object decomposition techniques for spatial query processing,tial query processing, it substitutes complex computational geometry algorithms by simple and fast algorithms for simple components. In this paper, we present four different decomposition techniques for polygonal shaped objects. The second part of the paper consists of an empirical performance compa

信條

蟄伏

Chi Li,Jin Bai,Gregory D. Hagerof GIS operations. The fruitfulness of this combination is based on the fact that spatial access methods efficiently provide the data at the time when computational geometry algorithms need it for processing. Additionally, this combination avoids page faults and facilitates the parallelization of th

懸崖

兵團

Semi-supervised Deep Learning with Memorythis point of view, and propose a new spatial indexing method, which is also a variation of R-tree and is based on the spatial locality property by using the dynamic clustering method. This method reduces hierarchical variance, that is, it increases the hit ratio.

隱語

https://doi.org/10.1007/978-3-030-01246-5tion is shown to take time proportional to the splitting threshold (similar to the bucket capacity) and is independent of the density of the data. The evaluation uses the road networks in the data of the U.S. Bureau of the Census.