Theory and method of data-spatial data mining technology
Gejoco
(Information Institute of Southwest Agricultural University 400716)
This paper briefly discusses the theory and characteristics of spatial database technology and spatial data mining technology, this paper analyzes the level and method of spatial data
Oracle's Space database: 2007-12-21 16:31:12
Category: Oracle
For a simple study,
Collection
See below for more information [@more @]1. What is Oracle's spatial database: Oracle's spatial database provides a set of SQL schemas and functions on how to store, get, modify, and query spatial datasets.Spatial data consists of the following:1.MDSYS Schema: storage, syn
Reproduced from: http://publishblog.blogchina.com/blog/tb.b?diaryID=5349656
Absrtact: Using Oracle spatial to store and manage spatial data, it is easy to solve the problems of data sharing, distributed processing, network communication, open development, concurrency control, networked integration, cross-platform operation and data security recovery mechanism, and thus becomes an application trend. How to
Space Data Analysis and R language practicesBasic InformationOriginal Title: Applied spatial data analysis with RAuthor: pebesma, E. J.) Gemel-Rubio (Gómez-Rubio, V .)Translator: Xu Aiping Shu HongPress: Tsinghua University PressISBN: 9787302302353Mounting time:Published on: February 1, January 2013Start: 16Page number: 1Version: 1-1Category: Computer> Software and programming> integration> advanced programming language designComputer> database storag
Oracle spatial is used to store, manage, and query spatial data. Provides a set of SQL scenarios and functions for storing, retrieving, updating, and queryingA collection of spatial elements in a database. Mainly by the geometric data type, spatial indexing mechanism, a set of operational functions, management tools.
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Spatial Data Mining refers to the process of extracting hidden knowledge and spatial relationships from spatial databases and discovering useful Theories, Methods, and technologies of features and patterns. The process of spatial data mining and knowledge discovery can be roughly divided into the following steps:Data p
I had nothing to worry about this afternoon. I accidentally reviewed the mysql manual. I used to check the content of the manual very well, the focus is on some basic details of SQL statements, mysql performance parameters, and storage control management. However, today I accidentally discovered an important feature of mysql, that is, mysql also stores spatial data related to gis.
I had nothing to worry about this afternoon. I accidentally reviewed th
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1. Geographic Information System (GIS)
GIS can be understood from three different perspectives. The first GIS is a spatial database, which contains a data model for expressing general GIS data (elements, grids, topologies, networks
Label:Some of my colleagues have asked me the following questions:
We use the Oracle spatial sdo_geometry, isn't it useless arcsde?
Whether we are using Oracle spatial or ARCSDE is a bit of a rip!
Did the Create enterprise Geodatabase represent the use of ARCSDE? What is this action about?
We don't use ARCSDE services, why do you say we use ARCSDE?
......
Because ask a lot of
We have encountered many performance problems. We generally recommend that you reread the spatial index. If you have dozens or even hundreds of spatial indexes in a database, what should you do? ArcGIS10.1 version RebuildIndexes: (this function is available only for ArcGIS10.1) this function is mainly used to edit a wide range of data for users,
We have encountered many performance problems. We generally re
I. Spatial Index
The existing index types of the database cannot be applied to the indexes of geometric objects in spatial data. The uncertain data structure and data operation methods make the existing indexes unsuitable, therefore, both Oracle Spatial and ArcSDE use domain indexes (domain index [1]In short, it is to create a new index type that is not in the d
I have previously written a research plan on the mechanism of Population Spatial Distribution in China and its simulation. The question is very big, and I don't think deeply. It is a rough idea.
China is experiencing the largest population movement and migration in human history. According to the latest data from the sixth census, China's current urbanization rate is approaching 50%, in the future, China will enter a period of rapid urbanization, and
Spatial data mining refers to the theory, methods and techniques of extracting the hidden knowledge and spatial relations which are not clearly displayed from the spatial database and discovering the useful characteristics and patterns. The process of spatial data mining and knowledge discovery can be divided into seve
I had nothing to worry about this afternoon. I accidentally reviewed the MySQL manual. I used to check the content of the manual very well, the focus is on some basic details of SQL statements, MySQL performance parameters, and storage control management. However, today I accidentally discovered an important feature of MySQL, that is, MySQL also has the storage function for spatial data related to GIS, which suddenly aroused my interest, so I also foc
As a spatial database solution, ARCSDE is widely used, and this article will attempt to describe how SDE works and briefly describe how SDE users are used in a spatial database.How ARCSDE WorksARCSDE is a middleware technology, and it is not able to store spatial data, its role can be understood as the "spatial expansi
Label:Unconsciously again test, spatial database did not how to go to class, hurriedly collation of information review. and share it with everyone. a . with regard to the contents of the spatial database, the main 8 a few aspects:
concept, structure, application and development of spatial database
Spatial
In practical applications, Oracle Spatial not only has all the characteristics related to traditional GIS, but also has the characteristics related to relational databases, these features extend the scope of work of developers in applications and provide their productivity, so as to support a wider range of applications and improve performance, the following are the main characteristics of these features:
1) geometric structure and
Spatial Economic computing visualization
Visualization is a theory, method, and technology that uses computer graphics and image processing technology to convert data into graphs or images displayed on the screen and perform interactive processing. It involves many fields such as computer graphics, image processing, computer vision, and computer-aided design. It has become a comprehensive technology that studies a series of problems such as data re
1. Create a spatial index
1) before creating an index, you always need to insert metadata for the space layer.
2) if an index fails to be created, it must be deleted before it can be created.
Drop index customers_sidx;
Create an index:
Create index customers_sidx on customers (location)
Indextype is MDSYS. spatial_index
During index creation, Oracle checks the sdo_srid of the index column and the SRID in user_sdo_geom_metadata for matching. If not, Or
1. R-tree spatial index
Geometric objects in nature are all strange, and managing such data is a headache. Therefore, GIS Engineers simplify the process. One way is to take out the boundary range of the geometric object as a basis for retrieval (the geometric object must be inside it ), this is the range of a rectangle, and it is much easier to manage it. In Oracle Spatial, the R-tree-based
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