Sentence examples for spatial data processing from inspiring English sources

Open source QGIS (Quantum GIS) software was used for spatial data processing and map design.

Standards and unified spatial data processing methods across CSAs ensure comparability and seamless visualisation.

The system is integrated into an open source Geographical Information System, which allows a seamless integration into operational spatial data processing and analysis workflows.

The result of the spatial data processing, which is in accordance with the technical specifications issued by the National Cadastre and Mapping Agency S.A., is included in the cadastral diagrams.

To provide a high-performance computing environment, the SBDS encompasses a Hadoop system for distributed spatial data processing, which is an extension of the spatial Hadoop open source platform [21].

This Hadoop system currently has eight basic spatial operations (e.g., distance, convex hull, clip, spatial join) and six advanced ones (e.g., point density, location-allocation, hotspot detection) for distributed spatial data processing.

Although non-uniformity has been dealt with extensively in contexts such as signal processing, geo-spatial data processing, and computational geometry [1], the combination of irregular sensor data sampling and intra-network processing is a main challenge in sensor networks.

Sources of spatial fMRI localization errors include EPI image distortions [39], draining vein effects [49], and inaccuracies arising from spatial data pre-processing [50].

Although fMRI methods are known to have superior spatial resolution, the data processing of neuroimaging methods (e.g., fMRI and positron emission tomography [PET]) frequently diminishes this acclaimed spatial resolution (especially during postprocessing of the data, which often involves "spatial smoothing" and/or averaging across voxels within a region of interest).

Our data suggest a unique and distinct function for CA3 synapses in spatial information processing that support a role for mf synapses in pattern completion and AC synapses in working memory and processing of information about novelty.

These data offer novel insight into the role of the different hippocampal subregions in spatial information processing and particularly highlight the significance of CA3 synapses in this regard.