In the last years, extending OLAP (On-Line Analytical Processing) systems with spatial and temporal features has attracted the attention of the GIS (Geographic Information Systems) and database communities. However, there is no a commonly agreed definition of what is a spatio-temporal data ...
What Is Spatio-Temporal Data Warehousing?What Is Spatio-Temporal Data Warehousing?In the last years, extending OLAP (On-Line Analytical Processing) systems with spatial and temporal features has attracted the attention of the GIS (Geographic Information Systems) and database commundoi...
Spatial data might contain additional information or nonspatial data known asattributes. An attribute is usually a piece of information that describes a feature. Spatial data can have any number of attributes about a location, such as a map, photographs, historical information and so on. By provi...
What defines the spatial and temporal boundaries of seizure activity in brain networks? To fully answer this question a precise and quantitative definition of seizures is needed, which unfortunately remains elusive. Nevertheless, it is possible to ask under conditions where clearly divergent patterns of...
Wherever a loose bed of sand is subject to sufficiently strong winds, aeolian dunes form at predictable wavelengths and growth rates. As dunes mature and coarsen, however, their growth trajectories become more idiosyncratic; nonlinear effects, sediment s
(2015). Land abandonment and intensification diminish spatial and temporal β-diversity of grassland plants and herbivorous insects within paddy terraces. Journal of Applied Ecology, 52(4), 1033–1043. Google Scholar Udawatta, R. P., Rankoth, L. M., & Jose, S. (2019). Agroforestry and ...
Patient trends (missed appointments model) was previously offered in preview mode to allow users to test its functionality. However, effective April 2024, the solution is no longer supported, and deployment via the Microsoft Cloud Solution Center is discontinued.展開資料表 ...
Geospatial data typically involves large sets of spatial data gleaned from many diverse sources in varying formats and can include information such as census data, satellite imagery, weather data, cell phone data, drawn images and social media data. Geospatial data is most useful when it can be...
Initially, the RTUDs were employed to assess temporal and spatial patterns of street vitality in the old city of Nanjing. Subsequently, a range of determinants was analyzed using travel cost data, road network data, point of interest (POI) data, street view image (SVI) data, and social ...
It is desirable to combine these two elements and assess their roles in explaining the observed data. In this paper, we integrate the comparative statics theory of FDI location into a simple model of growth, for the purpose of better explaining the spatial and temporal diversity observed in the...