Abstract
Spatial trend concept is very useful in order to depict the systematic variations of the phenomenon concerned over a region based on geographical locations or as in this book based on two independent variables that may be any other two event records. Different types of spatial trend alternatives are presented visually and then their mathematical solutions under the title of trend surface analysis is presented with derivation of the necessary spatial regression analysis approach. Although there are different mapping procedures in this chapter, the most advanced one, namely, Kriging geostatistically developed methodology is explained for the purpose of 3D surface construction. Based on this approach parallel and serial triple diagram models are explained for better interpretations amount three different time series or three time series generated from the same time series at two different lag times.
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Şen, Z. (2017). Spatial Trend Analysis. In: Innovative Trend Methodologies in Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-52338-5_6
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DOI: https://doi.org/10.1007/978-3-319-52338-5_6
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