在空间列上创建一个网格索引。
其他任何空间函数都不能使用网格索引。
None of the other spatial functions can exploit a grid index.
这个值越低，优化器就越有可能选择扫描网格索引。
The lower this value is the more likely the optimizer will choose to scan the grid index.
此外，您将在EISCAN下面发现网格索引的名称。
Additionally, you find the name that was assigned to the grid index right below the EISCAN.
如果您熟悉空间数据和网格索引，那么结果就无需解释了。
If you are familiar with spatial data and the grid index, the results are pretty much self-explanatory.
前面我们解释过，DB 2优化器不完全知道空间网格索引的细节。
As was explained before, the DB2 optimizer is not fully aware of all the details of the spatial grid index.
所以我们创建一个空间网格索引，这个索引将在查询时用到。
So we create a spatial grid index that will be used at query time.
为检查在查询时是否真正使用了一个空间网格索引，应该查看一下访问计划。
To check if a spatial grid index is actually exploited during query time, you should have a look at the access plan.
例如，可以按照网格索引的思想，使用与几何图形重叠的一个网格单元的标识符。
For example, you could follow the idea of the grid index and use the identifier of a single grid cell that overlaps with the geometry.
结合网格索引和R树索引的特点，提出了一种基于网格与R树的多级混合索引。
According to the characteristics of spatial index of grids and R-tree, a hybrid structure of spatial multilevel index is presented based on grid and R-tree.
与网格索引和R树索引相比，该索引以略大的空间开销换取了更高的查找性能。
Compared with grid and R-tree, the index has slightly space costs but most higher index performance.
既然已经填充了空间表，就应该添加空间索引来支持空间查询了；在DB 2中这是一个网格索引。
Now that the spatial table is populated, it is time to add a spatial index to support spatial queries; in DB2 that is a grid index.
论文对TIN的构建算法进行了研究，提出了一种基于自适应分块建立网格索引的算法。
This paper researches the construction of tin, based on adopting self-adapt clump organization to establish grid index, and proposes a quick algorithm of constructing tin.
如果所有条件都符合，同时也符合简单的语法规则，那么还不能保证可以使用空间网格索引来满足查询。
If all conditions are met, including the simple syntax rule, it is still not ensured that a spatial grid index is used to satisfy the query.
采用网格索引来组织地形数据，利用反距离高程加权平均值算法，提取TIN地形的特征点。
Terrain data is organized by grid, the article adopts height weighted average algorithm of elevation based on grid network, to extract feature point of TIN terrain.
为了确保能得到有意义的结果，我们还像后面一个小节中解释的那样，检验网格索引是否真正被用于这个查询。
To ensure that we got meaningful results, we also verified that the grid index is actually exploited for this query as explained in a later section.
针对使用传统算法创建网格索引存在遗漏网格的缺点，本文提出一种建立精确网格索引的新算法。
Aiming at the shortcoming of ordinary algorithm, which would omit the grid when it creates the grid index, the paper presents a new algorithm to create the precise grid index.
层次网格索引是在传统网格索引的基础上，进一步改进，减少了传统网格索引的冗余和索引的大小。
Multilayer grid index can reduce the redundance and index size of traditional grid index, so that the entire grid index can be loaded to client side.
该方案首先将矩形地理空间进行租网格划分建立多级网格索引，然后针对每个小网格建立基于R树的空间索引。
A rectangular region of geography is roughly partitioned in several times to multilevel sub-regions, in which spatial index of R-tree has been constructed.
该工具不仅可用于获得关于各种不同网格大小的建议，还可以用于收集一个已有的或计划中的(虚)索引的统计信息。
The tool cannot only be used to get Suggestions for the various grid sizes but also to collect statistics of an existing or planned (virtual) index.
我们可以对缓存状态加索引，这样就能搜索整个网格了。
Cached state can optionally be indexed, allowing the entire grid to be searched.
所以，可以提取关于在选择某种网格大小时在哪个网格层次上将生成多少索引项的信息，而不必真正创建和物化索引。
So you can extract the information how many index entries would be generated on which grid level if you choose certain grid sizes — without actually creating and materializing the index.
索引相当于网格渲染和地形中所使用的光照图编号。
Indices correspond to the Lightmap Index value on Mesh Renderers and Terrains.
选择一个索引以在右侧的网格中显示其属性。
Select an index to show its properties in the grid to the right.
解决了因网格疏密程度引发的数据存储量、索引时间与网格所包含的有效信息量之间的矛盾；
The problem due to grid size among dat a number in index table, time consuming and data validity was solved.
最后为跨网格的空间对象建立索引链表。
Finally, it establishes indexed list for the inter-grid spatial objects.
同时，在中心节点建立一个资源的索引表，这样就克服了原来网格系统集中式资源发现过于依赖中心服务器的缺点。
At the same time, a resource index table is established at the central node to overcome the defect of centralized resource discovery over-rely on the central server of the original grid system.
结果表明，改进的层次网格空间索引大大提高了索引的效率和自适应的能力。
Test results show that in most case the creative theories improve the performance and adjustability of index.
最后，用户使用客户端程序到索引服务器中查找所需资源，并进一步查询这些资源的物理特性，最终确定第一个满足条件的网格资源。
Finally, users use the client programme to look for the resource from the index service machine, find out the physical characteristics of the resource, and locate the first satisfactory grid resource.
“选定的XML索引”列表中选择新索引，然后在右侧的网格中设置该索引的属性。
Selected XML Index list and set properties for the index in the grid to the right.
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