Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health

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

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...

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...

Disaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing

Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals. Precision farming can reduce the environmental burden by employing site specific crop management practices which implement advanced geospatial technologies for respecting soil heterogeneity. The objectives of this paper are to present the frontier approaches of ge...