Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications

Autor:	Stavros Perantonis, Nikolaos Vassilas, Nikolaos Avouris, Elias Kalapanidas
Rok vydání:	2001
Předmět:	Computer science business.industry Informatics Spatial database Specialty Artificial intelligence Space (commercial competition) business Data science Environmental informatics Environmental data Temporal database
Zdroj:	Machine Learning and Its Applications ISBN: 9783540424901 Machine Learning and Its Applications
DOI:	10.1007/3-540-44673-7_21
Popis:	Environmental applications share common features that make them distinct from typical applications of other areas of applied computer science. This fact has lead during the last years to the development of Environmental Informatics, a novel specialty of Applied Informatics, which studies specific problems related with the application of computer science techniques in environmental problems. In environmental applications often many different, non homogeneous information sources can be found, such as text data e.g. environmental legislation or research projects results, measurement data from monitoring networks, structural data on chemical substances, satellite data etc. In particular, environmental data is often geographically coded, i.e. information is attached to a particular point or region in space. Secondly, some of the data objects are multidimensional and have to be represented by means of complex geometric objects (polygons or curves).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::58de7e8e930275f972e09945c177917e https://doi.org/10.1007/3-540-44673-7_21 Zobrazit plný text záznamu