boundless spatial

Tags: round location Oracle Exclusion Advantage 12c test partition through 1, the purpose of the experiment In the previous round of experiments, the Oracle 11g R2 version, based on the 87 county and city experimental data, compared the efficiency of the partition and partitioning, and obtained the conclusion that the partition + global index is more efficient (see previous blog post). However, we have not compared the efficiency differences between different partition granularity

The original ArcGIS engine development tour---spatial database1 Geodatabase ConceptGeodatabase is a new object-oriented spatial data model introduced by ARCINFO8, which is a unified and intelligent spatial data model based on DBMS. "Unification" means that many spatial data models before geodatabase can not describe th

algorithms and their high and low order in efficiency.O (1) constant Order Last three items I enclose them in curly braces to tell you. If you design the algorithm in the future to derive the "Big O-order" is the braces in the few, then give up this algorithm, in the study of new algorithms come out. Because those in the curly braces still take a lot of time, even when the size of n is smaller, the complexity of the algorithm is ridiculously large, which is basically "unusable."2. Complexity of

here is an overview of the spatial index, click to download 2. 1 Grid IndexThe basic idea of grid index is to divide the study area into small grids according to certain rules, and record the geographic objects contained in each grid. When the userWhen you make a spatial query, you first calculate the grid where the query object resides, and then quickly query the selected geographic objects through the gr

Absrtact: The nearer the point in the space sampling the corresponding variable may also be similar, this phenomenon is called spatial autocorrelation. Spatial autocorrelation can change people's judgments about the causes of certain things. For example, the number of species in a locality is high, and the number of species approaching is correspondingly higher, but this is not necessarily due to the fact t

Original: Compound multi-criteria spatial query using ArcGIS API for SilverlightThese two days to help the online acquaintance of a brother made an example of a query, more or less summed up, here and you share.Why is compounding multiple conditions? Because of the spatial query sometimes we query the conditions can be very complex, such as requirements for a certain attribute of a feature is greater than h

Forest: R-tree A dynamic index structure of spatial searchAntonm Guttman SummaryIn order to effectively process spatial data, as required in computer-aided design and geographic data applications,A database requires an indexing mechanism that can quickly obtain data items based on their spatial location.However, the traditional index method does not fit well with

Note: The prerequisites for reading this blog are as follows: 1. This example is based on Microsoft SQL Server 2008 R2 for commissioning. 2. Experience in Transact-SQL programming and SQL Server Management Studio. 3. Be familiar with or understand the spatial data types in Microsoft SQL Server 2008. 4. Have Professional GIS theoretical knowledge such as OGC and KML specifications. 5. Understand MapInfo map data and ArcGIS Shp map data format. 6. Under

0. Introduction Spatial relationship refers to the relationship of spatial characteristics between entities, such as azimuth relation, distance relation, topological relation, hierarchical relation, etc. Spatial relationships generally have three or two levels in natural language descriptions. The three parts are divided into projectiles, landmarks and nouns fro

With the increasing requirements of GIS application systems in terms of complexity, integration, and concurrency, the amount of space data required by the system is rapidly increasing. At the same time, users' demands for concurrent access to spatial data are becoming increasingly prominent. The traditional file storage and representation of spatial data methods obviously cannot meet these needs. Because of

Spatial analysis, the most important concept is the distance, different distances will lead to different results. In the study, there is a concept called "spatial scale", this is interested, please self-Baidu (the usual: Baidu know things don't ask me).Therefore, in the study of clustering, the most important thing is to determine the distance between the different data, otherwise it will be as follows:In c

ArticleDirectory Recent research on spatial databases How to do research Snow outside, the weather should be the most suitable for reading or writing. Recent research on spatial databases In fact, it is not enough to study, but to read articles and books. The system learning of spatial databases started in last December. The reading track is r

Note: This study note is your own understanding, if there are errors in the place, please correct me, common learning progress.This paper studies from CVPR paper "discriminative spatial Pyramid", "discriminative Spatial Saliency for Image classificationandBeyond Bags of features:spatial Pyramid MatchingFor recognizing Natural Scene Categories, thanks to the author of this paper. The space Pyramid method ind