Massive data collection on the basis of volunteered geographical information

摘要

The thesis examines methods of acquiring mass data, which are mainly based on getting spatial data from online sources or one's own designs. The goals of the thesis are to produce databases of the highest quality, while using as little pay-per-view data as possible. The thesis presents the beginnings and the development of the World Wide Web, and examines the basics of online implementation of mass data as the basis for such acquiring of data. It presents the production of the digital elevation model (DEM) from the contours and the surface model derived from SRTM data. The practical section presents five examples: two examples from OpenStreetMap and one from wikipedia, the production of the DEM based on SRTM data and countours derived from VTK50. The selected area is edited in OpenStreetMap. Wikipedia is regarded as a source for producing this thesis, and it is established whether the data is suitable for professional purposes or not, while the data from SRTM and the DEM of my own creation were used to compare the contours and thus present the differences in height between the layers. The results manifest themselves as an edited area in OpenStreetMap and the comparison which shows the suitability of individual environments for different purposes. Wikipedia turns out to be a partially suitable source and is recommended to be used in combination with other sources. SRTMFill is treated as a method for filling the gaps in SRTM data that arise due to the different angles of recording these emerging gaps. The end result is the finding that joint problem solving is easier than tackling problems individually, which confims the supposition of this thesis.