range aggregate processing spatial databases

  • Maptitude GIS Software

    Database joins can be aggregate/non-aggregate and as one-to-one, one-to-many, or many-to-one joins ; Multiple filters per layer or database can be created using SQL type queries, spatial queries (coincident, adjacent, within, and many more), and data classification methods

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  • Compile Multi

    GTOPO30 Global Digital Elevation Mosaic. The scientist considered the the study area size and distribution of species points, and after consulting with NCEAS scientific programmers, selected a spatial resolution of 1 square kilometer for the raster data sets. The species sighting location point coordinates are in unprojected,

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  • Geospatial Stream Query Processing using Microsoft SQL

    Processing There have been several libraries that provide methods to perform spatial operations on spatial data types. These libraries provided flexibility to a wide range of applications in the context of traditional spatial databases. Intersection, containment, nearest

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  • Slide 1

    Similar to the case of the basic pyramid structure, traverse the pyramid structure from the bottom level to the top level, until a cell satisfying the user privacy profile is found.

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  • Index [docs.oracle]

    Provides usage and reference information for indexing and storing spatial data and for developing spatial applications using Oracle Spatial and Graph and Oracle Locator.

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  • Combining R

    used in spatial database as a spatial access method. Spatial database is the core of GIS. The aim of spatial access method is improving query performance by incorporating an additive data structure since the high query performance is one of the key features of successful GIS systems [4]. R-tree is composed of the root, intermediate node, and leaf

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  • PPT

    Spatial Database Query Processing using Indices Donghui Zhang CCIS Ph.D. Seminar CCIS, Northeastern University Content Spatial Database Selection Query R-tree k-d-B – A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow - id: 52734d-OTFmM

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  • Mining Object, Spatial, Multimedia, Text, andWeb Data

    areas, average density, or other aggregate functions while ignoring some scattered regions with different types if they are unimportant to the study. Other spatial oper-ators, such as spatial-union, spatial-overlapping, and spatial-intersection (which may require the merging of scattered small regions into large, clustered regions) can also

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  • Introduction to SQL Server Spatial Data

    Mar 18, 2015Database systems such as IBM, DB2, and Oracle have supported spatial data for some time. Microsoft added support in SQL Server 2008, with the introduction of native spatial data types to represent spatial objects.

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  • Spatial Data (SQL Server)

    Spatial data represents information about the physical location and shape of geometric objects. These objects can be point locations or more complex objects such as countries, roads, or lakes. SQL Server supports two spatial data types: the geometry data type and the geography data type.

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  • Spatial and Spatio

    Spatial and Spatio-Temporal Aggregation Funded by National Science Foundation through grants IIS-0100436 and EIA-0080123. Summary. Aggregate functions compute a scalar value, such as the average salary, when applied to a set of tuples. Aggregate computation is expensive, especially when time-varying attributes are involved in it.

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  • Efficient Processing of Preference Queries in Distributed

    Efficient Processing of Preference Queries in Distributed and Spatial Databases Thesis for the degree of Philosophiae Doctor Trondheim, January 2012 Norwegian University of Science and Technology Faculty of Information Technology, Mathematics and Electrical Engineering Department of Computer and Information Science

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  • Evaluation of Top

    Evaluation of Top-k OLAP Queries Using Aggregate R–Trees 239 non-leaf entry ei corresponds to an aggregate value (e.g., sum) for all measures in the subtree pointed by ei. The tree can be used to efficiently computeaggregaterange queries, which summa- rize the measures contained in a spatial

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  • CSCI 8715 Spatial databases

    which is idea of combining the traditional data warehouses with spatial databases. Spatial data warehouses are based on the concepts of Data warehouses and additionally provide support to store, index, and aggregate and analyze spatial data [33]. A data warehouse consists of facts and dimensions modeled in a star or snowflake schema. A

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  • UNIT 49

    UNIT 49 - VISUALIZATION OF SPATIAL DATA. database contents are abstract version of geographical reality system should create an impression of reality, not of the contents of the database aspects of relationship between database and reality, e.g. accuracy, should be important part of display.

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  • Aggregate a RANGE of values using R language

    Sep 20, 2013The output would be a csv file having aggregate values of the specified intervals like follows. col0 col1 col2 col3 3.25 8.2 4.4 3.3 //(aggregate of rows 1

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  • aggregate query processing meaning

    aggregate query processing definition. We hold Pursuing the SKY Technology and Quality as our management concept all the time. Relying on absorbing world leading crushing and powder processing technology, advanced management and quality control system, as well as our full efforts, SKY has earned high reputation among our customers.

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  • Spatial data extension for Cassandra NoSQL database

    Mar 05, 2016Hence, the spatial range query is reduced to a numeric range query instead of string-based query (which is allowed by CQL). As depicted in Fig. 3, the binary representation of string geohash is extended with list of 0 or 1 to a predefined bit-depth to get respectively the geohash (min_value) and (max_value) .

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  • Rectangle

    an axis-aligned rectangle, and query processing in a con-straint database can be viewed as a computation over this set of geometric objects; for example, as studied in [6, 46]. Aggregation of axis-aligned rectangles is also considered in the context of Online

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  • Database Support for Situational Awareness

    The user specifies a range (interval) along each spatial and along the single temporal dimension. The query returns all objects that exist in the prescribed 3D spatial rectangle, during the specified time. E.g., "all vehicles in the Nevada desert from 10a.m. to 2p.m." (ii) Spatial k-Nearest Neighbor (kNN) Queries. The user specifies a query

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  • Index [docs.oracle]

    Provides usage and reference information for indexing and storing spatial data and for developing spatial applications using Oracle Spatial and Graph and Oracle Locator.

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  • Mining Object, Spatial, Multimedia, Text, andWeb Data

    analytical processing (OLAP) in such data warehouses, and (2) develop effective and scalable methods for mining knowledge from object databases and/or data warehouses. The second task is largely covered by the mining of specific kinds of data (such as spatial, temporal, sequence, graph- or tree-structured, text, and multimedia data), since these

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  • probabilistic thresholdrange aggregate query processing

    Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data Shuxiang Yang∗, Wenjie Zhang+, Ying Zhang∗, and Xuemin Lin+ ∗The University of New South Wales, Australia or progressive polynomial aggregate query processing that data did not have to be com. in Peer-to-Peer networks, or even in Sensor Networks.

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  • K

    Previous spatial aggregate queries focus on the range aggregate [25], which returns the summarized informa- tion of POIs falling in a hyper rectangle (e.g., find the maxi-

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  • Sphinx: Empowering Impala for Efficient Execution of SQL

    two spatial operations, rangeand spatialjoinqueries. Finally, the queryexecutor provides two core components which utilize runtimecodegenerationto efficiently execute the range and spatial join queries on both indexed and non-indexed tables. Extensive experiments on

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  • PostGIS — Spatial and Geographic Objects for PostgreSQL

    PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. It adds support for geographic objects allowing location queries to be run in SQL.

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  • Spatial Concepts

    Oracle Spatial aggregate functions aggregate the results of SQL queries involving geometry objects. Spatial aggregate functions return a geometry object of type SDO_GEOMETRY. For example, the following statement returns the minimum bounding rectangle of all geometries in a table (using the definitions and data from Section 2.1):

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  • Evaluation of Top

    aggregate value. An example of such a query is "find the 10 combinations of product-type and month with the largest sum of sales". Such queries may also be applied in a spatial database context, where objects are augmented with some measures that must be aggregated according to

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