Classical models for multivariate or spatial extremes are mainly based upon the asymptotically justified max-stable generalized Pareto processes. These suitable when asymptotic dependence is present, i.e., joint tail decays at same rate as marginal tail. However, recent environmental data applications suggest that independence equally important and, unfortunately, existing in this setting both ...

The objective of the present study was to examine and predict annual maximum temperature in northeast Thailand by using data from 25 stations employing spatial extreme modeling which is based on max-stable process (MSP) schlatter’s method. We analyzed MSP latitude, longitude, altitude variables. Our result showed that has an increasing trend. return level estimates areas both local generalized ...

Urban inequality is a major challenge for cities in the 21st century. This reflected spatial income structure of which evolves time through various processes. Gentrification well-known illustration these dynamics population low-income area changes as wealthier residents arrive and old-settled are expelled. Less understood but very important reverse process gentrification areas get impoverished....

Recent researches on Three-dimensional Geographic Information System (3D GIS) modeling technology were reviewed. The concept of 3D GIS modeling and its application in various fields were introduced. Essential techniques to realize 3D visualization were studied. A typical 3D GIS modeling usually contains the description and the transmission of GIS spatial data structure. GIS spatial data models ...