Nowadays, researchers from different areas must face the growing complexity of the information available, which is characterised by the generally high dimensions of databases and their structure, resulting from the observation of multivariate phenomena in different state/space occasions. As a consequence, there is an increasing interest in extracting knowledge from large collections of data. Da...

In spatial statistic, the data analyzed which is correlated and this correlation is due to their locations in the studied region. Such correlation that is related to distance between observations is called spatial correlation. Usually in spatial data analysis, the prediction of the amount of uncertain quantity in arbitrary 4locations of the area is considered according to attained observations ...

soil salinity is a limiting factor for plant growth and a serious cause of land degradation. field sampling and statistical analysis for estimating soil salinity is expensive and time consuming. estimating soil salinity by spatial statistical models and geographic information system (gis) is recommended, because it saves labor and time. this study was conducted to evaluate the performance of sp...

Method for time change detection of four dimensional assimilation data by means of wavelet analysis is proposed together with spatial change detection with satellite imagery data. The method is validated with assimilation data and the same scale of satellite imagery data. Experimental results show that the proposed method does work well in visually. KeywordsAssimilation; change detection; wavel...

heavy metals, e.g. cd and pb emit and release into the environment during cement production and are deposited into soils. this research was carried out to determine the concentration and spatial distribution of trace elements in top soils around the kurdistan cement factory, west of iran in order to evaluate the effect of cement factory on the environment. twenty-four soil samples were collecte...

Introduction Qualitative spatial reasoning is a valid support for inferring relationships in geographical spaces. In particular, qualitative inferences are cognitively more expressive than quantitative ones, and support reasoning mechanisms in the absence of complete spatial knowledge (Cohn 1997). In geographical space, reasoning on spatial entities is supported by representations that mainly i...