For the sake of environmental change monitoring, a huge amount of geospatial and temporal data have been acquired through various networks of monitoring stations. For instance, daily precipitation and air temperature are observed at meteorological stations, and MODIS images are regularly received at satellite ground stations. However, so far these massive raw data from the stations are not fully utilized, or say, geographical spatio-temporal structural information in raw data aren't exposed sufficiently. Upon the requirements of human decision-making, explosive raw data is embarrassed in contr...
