maximo spatial

Linux kernel space and user spatial information interaction methodThe author of this article :Kang Hua : Master of Computer Science, mainly engaged in the Linux operating system core, Linux technology standards, computer security, software testing and other fields of research and development work, is now working in the Ministry of Information Industry software and integrated circuit Promotion center belongs to the MII-HP Linux software laboratory. Con

1. Execute the following SQL command via Sqlplus Sql>colcomp_name format A10; Sql>selectcomp_name,status from Dba_registry where comp_name= ' Spatial '; If the result type is the following, the installation is successful (the status is valid or loaded is OK) 2. The version of spatial installation can be checked by the following command sql> Select Sdo_versionfrom Dual; 3. General process Shpfile Import orac

, such an algorithm we basically do not use, too impractical. For example, the recursive implementation of the Nottingham Tower problem algorithm is O (2^n). The square order (n^2) algorithm is barely available, while the NLOGN and smaller time complexity algorithms are very efficient algorithms. Complexity of Space Bubble sort, simple selection sort, heap sort, direct insert sort, the spatial complexity of the hill sort is O (1), because a temporary

Because the customer's DB2 version is version 9.7, the test environment can only install this version, but in the minimum supported version of ARCSDE requires V9.7 Pack 4 version, below this version is not possible.Installation of DB2 and spatial extenderAfter installing the DB2 to create a spatial database (if the name is Mysdedb), it is best to optimize the following configuration:1, note the character en

1. Index:Indexing is time-consuming and laborious, and requires a lot of resource consumption. Use the {"Bakckground": true} option to make the process complete in the background while processing the request normally. If you do not include backgroundThis option, the database blocks all requests that are established during indexing. Blocking practices can make the index faster, and it also means that the app cannot answer during this time. Even in the background it can have some effect on normal

Image denoising algorithm in spatial domainImage denoising you want to use redundant information from the image itself to remove the image noise without affecting the image details. But often both cannot be combined. The following mainly introduces three kinds of denoising algorithms based on Gaussian weighting in spatial domain, namely Gaussian filtering algorithm, bilateral filtering and non-local mean va

All attribute values on a geographic surface is related to the other, but closer values is more strongly related than a Re more distant ones. A geographic thing or attribute is related to each other in spatial distribution, and there is a agglomeration (clustering), stochastic (random), rule (regularity) distribution.　　————Waldo Tobler The approximate framework for the Spatial data Processing section i

The achievements of R-tree in fields such as databases are very significant. It solves the problem of searching in high-dimensional space very well. Take an example of the R-tree that can be solved in the real world: find all the restaurants within 20 miles. What would you do if there were no R-trees? In general, we will divide the coordinates of the restaurant (x, y) into two fields in the database, one field records the longitude, and the other field records the latitude. That way we need to t

1 Understanding the target layer and the source layerThe target layer is the layer from which the feature is selectedThe source layer is a layer in which the user uses the features in the layer to determine which features should be selected based on the spatial relationship of the layer to the target layer. 2 Learn about selecting a spatial relationship rule for the selected itemIn the figure, the selected

A process was recently tested: 1. Use tepro to create a vector layer and save it to the SHP format; 2. Use FME to import the SHP file to Oracle Spatial; 3. Release vector layers in Oracle Spatial into WFS-T services through SFS; 4. Load the WFS-T Service released by SFS through tepro, edit and other operations, and save the results directly to the Oracle Spatial