People live on Earth and learn to cope with its terrain. Civil engineers design and construct buildings on it; geologists try to study its underlying construction; geomorphologists are
interested in its shape and the processes by which the landscape was formed; and topographic scientists are concerned with measuring and describing its surface and presenting it in different ways. Digital terrain modeling is a process to obtain desirable models of the land surface. Despite these differences in emphasis and interest, these specialists have a common interest, that is, they wish the surface of the terrain to be
represented conveniently and with confident accuracy.
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Multiple factors affect the surface modeling. One of the major factors that affect the surface model is the applied interpolation technique. Most of the users are using the interpolation techniques regardless studying the pattern behaviors that mislead the user about the most proper interpolation technique for providing the surface. Therefore, theories of statistics and spatial interpolation utilized through 3D surface representation platforms by incorporating the spatial pattern analysis will be investigated.
The main objective of this research is to test the reliability of the results caused by the 3D surface representation platforms. Here, the main factors which affect on the results are examined, where the pattern analysis methods will be studied with different interpolation techniques. The applied methodology is divided into two main steps. Firstly, the pattern analysis will be studied. Secondly, different interpolation techniques will be evaluated. GIS, statistical, and geostatistical analysis software were used to develop, apply, and evaluate the proposed methodologies using different case studies. |
