After one decade of development, the methods to explore the temporal and spatial process of LUCC (Land Use and Land Cover Change) have been vastly improved; and in some sense a methodology framework used to study the temporal and spatial process is being rapidly developed. The methodology framework is based on the integration of the classical theories of Geography and the recent developed techn...

geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...

thin films of polymer doped with nonlinear optical organic dye, disperse red 1, at thickness of 1 to 2 micrometers, were prepared and studied. in order to induce an axial and orientational alignment of dye molecules within polymer matrix, a contact electric field poling was used. by this process the inherent inversion symmetry in the polymer matrix was eliminated to achieve the desired macrosco...

Spatial-temporal processes are prevalent especially in environmental sciences where, under most circumstances, the processes are non-stationary in time so that their temporal-variability must be captured in traditional spatial models for better estimation and prediction. We propose a Bayesian hierarchical spatial-temporal model to describe the dependence of extreme data on spatial locations as ...

The temporal-spatial coincidence of saline deposits with rifting and alkaline magmatism has now become a commonly accepted fact. The congruency of these three phenomena implies logically, their trilateral genetic interrelation. The conventional concept for the formation of saline deposits, i.e an "evaporation process" can not be properly applied to giant saline deposits. The proposed "Volc...

Spatial data mining focuses on searching rules of the geographical statement, the structures of distribution and the spatial patterns of phenomena. However, many methods ignore the temporal information, thus, limited results describing the statement of spatial phenomena. This paper focuses on developing a mining method which directly detects spatial-temporal association rules hidden in the geog...