Titlebook: GeoSpatial Visual Analytics; Geographical Informa Raffaele De Amicis,Radovan Stojanovic,Giuseppe Con Conference proceedings 2009 Springer S

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Cooperative Decentralization: A New Way to Build an Added Value Chain With Shared Multi-Resolution Sof problems and shortcomings. The reason is that usual present organization of the GI life cycle in most countries was conceived in the 19th century, in a completely different social and technological environment. New technologies recently developed in the GI domain can help us face successfully the

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Cosmo/Skymed to Support MGCP Mappingemote sensing data worldwide. Among others, the most impressive effort to obtain this information is related to the Multinational Geospatial Co-Production Program (MGCP) undertaken by NATO nations to obtain updated cartographic information worldwide. In this chapter preliminary results on the use of

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Dynamic Terrains: Cities and Real-Time Video on Gigantic Terrain Modelsize, photo-textured digital elevation models hosted on remote servers is a challenging problem, requiring a careful management of the data. Typical user requirements include the access to as many accessible datasets as possible, scalable algorithms and a client—server architecture. Besides efficient

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Digital Terrain Models: A Tool for Establishing Reliable and Qualitative Environmental Control Proceigital Terrain Models (DTMs) describing the terrain relief are among the most relevant sources for quantitative and qualitative environmental evaluation. Using simultaneously several geospatial datasets requires addressing the issue of data integration/comparison. This chapter introduces three novel

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https://doi.org/10.1007/978-3-7643-7362-7ween the data and what is usually done is to sort the spatial objects with respect to the space that they occupy. The resulting ordering should be implicit rather than explicit so that the data need not be resorted (i.e., the index need not be rebuilt) when the queries change. The indexes are said t

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Sorting Spatial Data by Spatial Occupancyween the data and what is usually done is to sort the spatial objects with respect to the space that they occupy. The resulting ordering should be implicit rather than explicit so that the data need not be resorted (i.e., the index need not be rebuilt) when the queries change. The indexes are said t