Geoinformatics is the science and technology that develop and use data, software, and computing facilities in the cyberinfrastructure ecosystem to address the needs of geosciences and related branches of science and engineering.
In a general sense, geoinformatics can be understood as "a variety of efforts to promote collaboration between computer scientists and geoscientists to solve complex scientific questions". More technically, geoinformatics has been described as "the science and technology dealing with the structure and character of spatial information, its capture, its classification and qualification, its storage, processing, portrayal and dissemination, including the infrastructure necessary to secure optimal use of this information" or "the art, science or technology dealing with the acquisition, storage, processing production, presentation and dissemination of geoinformation". Along with the thriving of data science and artificial intelligence since the 2010s, the field of geoinformatics has also incorporated the latest methodology and technical progress from the cyberinfrastructure ecosystem.
Geoinformatics has at its core the technologies supporting the processes of acquisition, analysis and visualization of spatial data. Both geomatics and geoinformatics include and rely heavily upon the theory and practical implications of geodesy. Geography and earth science increasingly rely on digital spatial data acquired from remotely sensed images analyzed by geographical information systems (GIS), photo interpretation of aerial photographs, and Web mining. Geoinformatics combines geospatial analysis and modeling, development of geospatial databases, information systems design, human-computer interaction and both wired and wireless networking technologies. Geoinformatics uses geocomputation and geovisualization for analyzing geoinformation.
Areas related to geoinformatics include:
Image:Hereford_Mappa_Mundi_1300.jpg|[[Cartography]]
Image:Geoid_height_red_blue.png|[[Geodesy]]
Image:GPS_Satellite_NASA_art-iif.
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Acquisition de concepts et compétences de base liées à la représentation numérique des données géographiques et à leur insertion dans des SIG. Apprentissage de processus d'analyse spatiale pour les in
La géographie (du grec ancien , composé de , « la Terre » et , « écrire, dessiner », puis du latin , littéralement traduit par « dessin de la Terre ») est une science centrée sur le présent, ayant pour objet la description de la Terre et en particulier l'étude des phénomènes physiques, biologiques et humains qui se produisent sur le globe terrestre, à un certain niveau d'abstraction relative qui s'y prête, pluridisciplinarité comprise voire transdisciplinarité en un certain sens.
La géocomputation est un domaine d'étude émergent de la recherche multidisciplinaire et interdisciplinaire qui permet d'explorer des problèmes auparavant insolubles et extraordinairement complexes dans un contexte géographique. La première conférence internationale sur la , organisée par l'école de géographie de l'université de Leeds en 1996, annonce le lancement d'un nouveau programme de recherche en analyse et modélisation géographiques).
Geographic information science (GIScience, GISc) or geoinformation science is a scientific discipline at the crossroads of computational science, social science, and natural science that studies geographic information, including how it represents phenomena in the real world, how it represents the way humans understand the world, and how it can be captured, organized, and analyzed. It is a sub-field of geography, specifically part of technical geography.
Se concentre sur les exercices pratiques de cartographie, la géodésie et les calculs GPS.
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Visual exploration of spatial data relies heavily on spatial aggregation queries that slice and summarize the data over different regions. These queries comprise computationally-intensive point-in-polygon tests that associate data points to polygonal regio ...
VLDB Endowment Inc.2017
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Landscape ecologists and resource conservation managers increasingly need geo-referenced data but are not trained to efficiently use Geographical Information Systems together with appropriate geo-environmental information and spatial analysis approaches. I ...
International Society for Photogrammetry and Remote Sensing2010
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Scientists in all disciplines increasingly rely on simulations to develop a better understanding of the subject they are studying. For example the neuroscientists we collaborate with in the Blue Brain project have started to simulate the brain on a superco ...