Multidimensional Spatial Data Structures
نویسنده
چکیده
University of Maryland 16.
منابع مشابه
Indices and Data Structures in Information Systems
One of the key issues in information systems is to provide a fast and reliable access to data. This is true for conventional databases and information systems as well as for spatial or multimedia ones. Main tools for such aim are indices, among others. Search and reasoning operations using indices and structured data require a specific support on logical and physical level. A years of research ...
متن کاملTowards Specialized Integrity Constraints for Spatial Datacubes
Spatial datacubes (also called "spatial multidimensional databases") are the cornerstone of the emerging Spatial On-Line Analytical Processing (SOLAP) technology. They are aimed at supporting Geographic Knowledge Discovery (GKD) as well as certain types of spatial decision-making. Although these technologies seem promising at first glance, they may provide unreliable results if one does not con...
متن کاملHigh Dimensional Similarity Joins: Algorithms and Performance Evaluation
ÐCurrent data repositories include a variety of data types, including audio, images, and time series. State-of-the-art techniques for indexing such data and doing query processing rely on a transformation of data elements into points in a multidimensional feature space. Indexing and query processing then take place in the feature space. In this paper, we study algorithms for finding relationshi...
متن کاملThe LSD tree: Spatial Access to Multidimensional Point and Nonpoint Objects
We propose the Local Split Decision tree (LSD tree, for short), a data structure supporting efficient spatial access to geometric objects. Its main advantages over other structures are that it performs well for all reasonable data distributions, cover quotients (which measure the overlapping of the data objects), and bucket capacities, and that it maintains multidimensional points as well as ar...
متن کامل-new Developments in Multidimensional Geographical Data and Policy Analysis
This paper aims at providing a survey of recently developed multidimensional methods in the field of spatial data and policy analysis. After a brief methodological introduction, various multidimensional techniques for data analysis are discussed. Much emphasis is placed on the treatment of soft (ordinal or qualitative) data. Next, several multidimensional methods for policy analysis (multi-obje...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004