By Tang X. (Ed), Kainz W. (Ed)
Advancements in geographic info know-how have raised the expectancies of clients. A static map is not any longer sufficient; there's now call for for a dynamic illustration. Time is of significant significance while working on real-world geographical phenomena, specifically whilst those are dynamic. Researchers within the box of temporal geographical info structures (TGIS) were constructing tools of incorporating time into geographical info platforms. Spatio-temporal research embodies spatial modeling, spatio-temporal modeling, spatial reasoning, and knowledge mining. Advances in Spatio-Temporal research contributes to the sphere of spatio-temporal research, featuring leading edge principles and examples that mirror present growth and achievements.
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Extra info for Advances in Spatio-Temporal Analysis
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2004). For each of these two error models, it is proposed that the positional error in the original or derived polygons be assessed by three measures of error: (a) the variance-covariance matrices of the polygon vertices, (b) the radial error interval for all vertices of the original or derived polygons, and (c) the variance of the perimeter and that of the area of the original or derived polygons. Whereas the area and perimeter of the derived polygons have been introduced in previous studies, the x- and y-directional error intervals, as well as the radial error interval for the vertices of the derived polygons, are newly proposed.
Advances in Spatio-Temporal Analysis by Tang X. (Ed), Kainz W. (Ed)