LOCALLY REFINED SPLINES REPRESENTATION FOR GEOSPATIAL BIG DATA

Locally Refined Splines Representation for Geospatial Big Data

When viewed from distance, large parts of the topography of landmasses and the bathymetry of the sea and ocean floor can be regarded as a smooth background with local features. Consequently a digital elevation model combining a compact smooth representation of the background with locally added features has the potential of providing a compact and accurate representation for topography and bathy...

Towards Open Big Geospatial Data for geodata.gov.gr

Open data provided by the public sector constitute a significant opportunity for growth. PublicaMundi (http://publicamundi.eu) is an EU FP7-ICT project aiming to make open geospatial data easier to discover, reuse, and share by fully supporting their complete publishing lifecycle in open data catalogues. To achieve this, PublicaMundi extends and integrates leading open source software for open ...

Geospatial Big Data: Challenges and Opportunities

Multigrid for Locally Refined Meshes

A two-level method for the solution of nite element schemes on locally reened meshes is introduced. The upper bound on the condition number implies, in some cases, mesh-independent convergence, as is veriied numerically for a diiusion problem with discontinuous coeecients. The discontinuity curves are not necessarily aligned with the coarse mesh; indeed, numerical applications with ten levels o...

Geospatial Analytics for Big Spatiotemporal Data: Algorithms, Applications, and Challenges

Explosive growth in the spatial and spatiotemporal data and the emergence of social media and location sensing technologies emphasize the need for developing new and computationally efficient geospatial analytics tailored for analyzing big data. In this white paper, we review major spatial data mining algorithms by closely looking at the computational and I/O requirements and allude to few appl...