SUMMARY
The aim of the bachelor thesis was to suggest and complete cartographic visualization of development of Czech Hydrometeorological Institute stations. At the beginning, thesis of students of department of Geoinformatics and publications of foreign authors about spacetime development visualization were studied. Map portals of chosen meteorological institutes were described in recherche as well. None of the mentioned institutes have their own cartographic visualization of station network development. Categories and functionality of stations were also described in this part.
The processing of provided tabular data from application CHMI CLIDATA was described in detail at the beginning of practical part. Incomplete data were deleted, mostly the stations without coordinates. Data about Begin date and End date of stations had to be unified. Data were saved into the work geodatabase. Symbology using geometric characters was set for the layer.
These data were prepared for creating final visualizations. Five various visualizations were made, Series of static maps, Development static map, Animation, Heat maps as results of statistical analysis (Kernel Density, Hot Spot, Outlier) and Space-time cube. The workflow was described in detail using images and tables. The emphasis was put to create diverse variants of spacetime visualizations. This thesis could be used for other students to choose methods and create spacetime visualizations of point data. Based on the results of this thesis, the station network development between years 1775–2018 was described.
Spatial analysis of station network representativeness was partial aim of the thesis. This aim was achieved using the method of regions. Three layers describing the character of the terrain were chosen, generalized and unified into the one. New layer of spatial types was analysed by two different approaches. The first approach evaluated the areas based on the closest neighbour of the station area. This approach created three kinds of regions (fully represented, partially represented and not represented). The second approach evaluated the areas based on comparing the attributes between an area and the area with the station. This approach created two kinds of regions. Even though the second approach was considered as not well describing representativeness, the intersection of both approaches identified areas which were not represented by station in either of the results. These areas are important for deeper research and analysis if it would be suitable to expand the station network into these areas. The representativeness analysis was described in detail. It could be potentially used by other students during creation of new spatial analysis approaches.
The author of this thesis evaluated suitability of various spacetime visualizations of point data at the end of the thesis. The main and partial aims were achieved as the author suggested, completed and evaluated various point based spacetime development visualizations. New symbology was created for the station network distinguishing the type of the station. The result is collection of cartographic products visualizing the CHMI station network development. The author described the network development and analysed the network representativeness by two analytical approaches. The final union of these analysis identified regions which are not represented by meteorological station. It is suitable to aim to these areas while developing the station network in the future.
