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DEBU
2002
161views more  DEBU 2002»
13 years 4 months ago
Indexing and Retrieval of Historical Aggregate Information about Moving Objects
Spatio-temporal databases store information about the positions of individual objects over time. In many applications however, such as traffic supervision or mobile communication ...
Dimitris Papadias, Yufei Tao, Jun Zhang, Nikos Mam...
CGF
2010
189views more  CGF 2010»
13 years 4 months ago
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...
EACL
2006
ACL Anthology
13 years 5 months ago
Generating Spatio-Temporal Descriptions in Pollen Forecasts
We describe our initial investigations into generating textual summaries of spatiotemporal data with the help of a prototype Natural Language Generation (NLG) system that produces...
Ross Turner, Somayajulu Sripada, Ehud Reiter, Ian ...
TOOLS
2000
IEEE
13 years 8 months ago
Spatiotemporal Data Modeling and Management: A Survey
Many data objects in the real world have attributes about location and time. Such spatiotemporal objects can be found in applications such Geographic Information Systems (GIS), env...
Xiaoyu Wang, Xiaofang Zhou, Sanglu Lu
SSDBM
2000
IEEE
126views Database» more  SSDBM 2000»
13 years 8 months ago
Generating Network-Based Moving Objects
Benchmarking spatiotemporal database systems requires the definition of suitable datasets simulating the typical behavior of moving objects. Previous approaches for generating spa...
Thomas Brinkhoff
ICTAI
2007
IEEE
13 years 10 months ago
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...
Konstantinos Blekas, Christophoros Nikou, Nikolas ...
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
13 years 11 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser