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Spatial Data Mining, Spatial Data Warehousing, and Spatial OLAP
2018Data mining is one of the current vital fields for all types of data including spatial data. An example of useful extracted patterns from spatial data is to describe changes in metropolitan poverty rates based on city distances from major highways.
Amira M. Idrees +2 more
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ACM Transactions on Database Systems, 1979
Spatial data management is a technique for organizing and retrieving information by positioning it in a graphical data space (GDS). This graphical data space is viewed through a color raster-scan display which enables users to traverse the GDS surface or zoom into the image to obtain greater detail.
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Spatial data management is a technique for organizing and retrieving information by positioning it in a graphical data space (GDS). This graphical data space is viewed through a color raster-scan display which enables users to traverse the GDS surface or zoom into the image to obtain greater detail.
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Spatial data streaming or streaming spatial data
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application, 2010Have you ever counted the number of times the word "streaming" has occurred in a geospatial oriented conference proceedings over the past few years? Have you ever monitored the growth of the geospatial research and industrial community? Have you ever noticed that geospatial researchers are living the luxury of an era where real-time data is streamed at
Balan Sethu Raman, Mohamed H. Ali
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2016
Geo-spatial data are information which can be pinpointed to spatially explicit locations on Earth. Most of the data you sample in ecology are of geo-spatial nature, regardless of whether you recorded the spatial coordinates during data collection or not.
Leutner, B. +3 more
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Geo-spatial data are information which can be pinpointed to spatially explicit locations on Earth. Most of the data you sample in ecology are of geo-spatial nature, regardless of whether you recorded the spatial coordinates during data collection or not.
Leutner, B. +3 more
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Spatial Visualisation of Conceptual Data
2009 13th International Conference Information Visualisation, 2009Numerous data mining methods have been designed to help extract relevant and significant information from large datasets. Computing concept lattices allows clustering data according to their common features and making all relationships between them explicit.
Le Grand, Bénédicte +2 more
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Visualizing Spatial Multivalue Data
IEEE Computer Graphics and Applications, 2005We introduce multivalue data as a new data type in the context of scientific visualization. While this data type has existed in other fields, the visualization community has largely ignored it. Formally, a multivalue datum is a collection of values about a single variable. Multivalue data sets can be defined for multiple dimensions.
Alison L. Love, Alex Pang, David L. Kao
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2022
Data which present a spatial component are called spatial data (Fischer and Wang 2011). In a nutshell, they are sample data of a random field referred to a spatial domain.
Maggio, Sabrina, Cappello, Claudia
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Data which present a spatial component are called spatial data (Fischer and Wang 2011). In a nutshell, they are sample data of a random field referred to a spatial domain.
Maggio, Sabrina, Cappello, Claudia
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On Computing with Spatial Data
The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., 2005Space plays a fundamental role in human cognition. In everyday situations, it is often viewed as a construct induced by spatial relationships, rather than as a container that exists independently of the objects located in it. A variety of formalisms naturally deal with space on the basis of relations between objects.
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Spatial data models and data structures
Computer-Aided Design, 1990Abstract The term ‘data model’ is used to describe the conceptual view of how data which purports to model reality is arranged in a computer system. A ‘data structure’ is the logical view, and a ‘file structure’ is the actual physical arrangement of the data.
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