By Adler C. G. da Silva, Shin-Ting Wu (auth.), Clodoveu Augusto Davis Jr., Antônio Miguel Vieira Monteiro (eds.)
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“Advances in Geoinformatics advantages not just pros in geoinformatics but additionally those people who are attracted to new learn works and concepts within the geospatial details technological know-how group in its broadest experience. … The booklet editors … have supplied a well-organized set of person papers to know fresh advancements and efforts within the box of geoinformatics. … it'd be stress-free learn should you have an interest in computational technology and software program engineering points of geospatial details technology and the most recent cutting edge ways to them.” (Dong Han Kim, utilized Spatial research and coverage, Vol. 2 (3), October, 2009)
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Additional info for Advances in Geoinformatics: VIII Brazilian Symposium on GeoInformatics, GEOINFO 2006, Campos do Jordão (SP), Brazil, November 19–22, 2006
Hence, our approach guarantees that any linear feature that does not intersect the original polyline P will not intersect the segments of the simplified polylines P'. Since it is more restrictive than the point feature consistency, we can use it to uniformly handle both point and linear features, without making any distinction between them. 4 The Algorithm In this section we present an algorithmic solution for correctly handling linear features. We replace the triangle inversion test devised by Saalfeld by our proposed strategy.
The processing time of this algorithm is comparable to the time complexity of the triangle inversion test, because the array of crossings is usually very small. 14 A. C. G. -T. Wu 5 Results To validate our theoretical study of consistency for linear features, we present some results of our approach and compare them to those obtained by Saalfeld’s algorithm. We examine the basic cases where Saalfeld’s strategy fails in preserving the original polyline topology. For each image, the first square presents the original polyline, the second square shows the outline of Saalfeld’s algorithm, and the third square exhibits the outline of our approach.
A detailed description of this implementation can be found in Queiroz . In the following, it will be described the TeGeoOpOverlayIntersection operator that has been used in Terraview to compute the overlay of two maps. It is important to note that the evaluation tests, described in the Section 4, were done comparing this operator with the proposed method. e. has less polygons) than M2. The first step of this method is to determine the polygons of each map that have a chance of intersecting each other, that is, the polygons pairs whose bounding boxes have a non empty overlay.