In the paper novelty vehicle trajectories random field (VTRF) traffic representation dedicated to networked hard real-time traffic control systems is presented and illustrated by PIACON control method. It is emphasized that existing multiple type high spatial resolution satellite and air based imagery together with conventional video, laser, GPS, probe-vehicles technologies are sufficient for V...

The evaluation and trend prediction of tourism economic vulnerability (TEV) in major tourist cities are necessary for formulating strategies scientifically promoting the sustainable development regional tourism. In this study, 58 China were taken as research object, an index system TEV was constructed from two aspects sensitivity adaptive capacity. On basis entropy weight method, TOPSIS model, ...

Explosive growth in geospatial data and the emergence of new spatial technologies emphasize the need for automated discovery of spatial knowledge. Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. The complexity of spatial data and intrinsic spatial relationships limits the usefulness of convention...

This study presents a spatiotemporal analysis tool, called Shyska . This tool allows the simulation and prediction of flash floods in semiarid basins. Shyska has been developed by Geographical Information System (GIS)-embedded functions, allowing the integration of hydrometeorological information from modern technologies of data acquisition in real time. A Digital Elevation Model (DEM) is used ...

Recently, flood damage has become a social problem owing to unexperienced weather conditions arising from climate change. An immediate response heavy rain is important for the mitigation of economic losses and also rapid recovery. Spatiotemporal precipitation forecasts may enhance accuracy dam inflow prediction, more than 6 h forward mitigation. However, ordinary ConvLSTM limitation predictable...

How can knowing the location of my friends be used to more accurately predict my location? This paper explores socially-aware location prediction under a particularly challenging setting where the underlying interactions and social network are unknown and must be inferred over continuous spatiotemporal data. Our method samples inferred network topology using a linear regression model to predict...

We describe a method to extract from experimental data the important dynamical modes in spatiotemporal patterns in a system driven out of thermodynamic equilibrium. Using a novel optical technique for controlling fluid flow, we create an experimental ensemble of Rayleigh-Bénard convection patterns with nearby initial conditions close to the onset of secondary instability. An analysis of the ens...