This paper addresses fundamental issues related to the modeling of geometric data embedded in high-dimensional spaces. This covers several application fields, including moving objects where trajectories are described in a threeor four-dimensional space, and digital elevation models (DEMs). We show that moving objects and DEMs are specific instances of a broader class of complex spatial data tha...

. introduction most of the warming over the last 50 years has been caused by emissions of carbon dioxide (co2) and other greenhouse gases due to human activities. observed changes in the climate due to increasing greenhouse-gas concentrations have made it essential to investigate these changes. the general circulation model (gcm) is the most current method of investigating climate change studie...

This paper reports the error analysis results for the gridded daily precipitation data over the state of Texas of the United States from January 1, 1901 to December 31, 2000. The Global Daily Climatology Network dataset is used for both the data gridding and error analysis. The station data have been interpolated onto a 0.2° × 0.2° grid which starts at the base point (25°50′N, 106°38′W). The da...

commonly used environmental flow evaluation techniques range in complexity. some requires stream flow records alone, and some accounts for the habitat requirements of individual species life-stages and physical characteristics of the stream. hydrological based methods for environmental flow assessment are the first step in planning for environmental allocation in developing countries. for deter...

introduction linking resolution global climate models to local scale as a micro climatic process is a significant issue. recently, attempts have been made by the climatology scientists to develop dynamics and statistical downscaling methods to express climate change at a local and regional scale. two general techniques are been used for downscaling of the output of general circulation models (g...

Run off resulted from rainfall is the main way of receiving water in most parts of the World. Therefore, prediction of runoff volume resulted from rainfall is getting more and more important in control, harvesting and management of surface water. In this research a number of machine learning and data mining methods including support vector machines, regression trees (CART algorithm), model tree...

in this research we have studied tabriz temperature inversion using radio-sound information, during the 2004-2008 periods in daily, monthly and seasonally scales. produced data associated with temperature inversion daily of the surface (2 meters) to 700 h.pa. several different measures are used, including the height of the base and the height of the top of the inversion, the temperature at the ...