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The analysis of road and highway network development in 20th century decades with the use of GIS
Churaň, Radek ; Hudeček, Tomáš (advisor) ; Bayer, Tomáš (referee)
The analysis of road and highway network development in 20th century decades using GIS Abstract The goal of this work is to review the progression of road network during 20th century together with creating of vector layers for each year. In opening part the background research is made. It refers to historical roads development in Czech republic and to GIS tools, which have been used. Textual description of road network development is part of the work together with maps supplement, illustrating contemporary situation. Digital geodatabases are the important output of this work. Keywords: road network, highway development, digital geodatabase
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Concept of legal personality in Roman law
Bayer, Tomáš ; Falada, David (advisor) ; Bělovský, Petr (referee)
(resumé) The Concept of Legal Subjectivity in Roman law The goal of this thesis is to present the concept of legal subjectivity and legal capacity in Roman law and to demonstrate how this subject is connected with essential issues in Roman law such as citizenship, personal freedom and personal status. The first part of the thesis introduces the concept of legal subjectivity and offers definitions and descriptions of legal subjectivity and legal capacity provided by reputable legal experts and historians. The second part of the thesis focuses on the legal subjectivity of natural persons and consists of several chapters which further elaborate on specific subchapters to the main topic of the second part; specifically: citizenship, personal freedom, slavery and personal status in the Roman family. The concept of Capitis Deminutio, which is so specific to Roman law and non existent in modern legal systems, is also discussed in this part of the thesis. The second part also attempts to shed light on the abundantly discussed topic of the legal position of women in Roman society My endeavour was to point out that laws governing women, which would be considered discriminatory by today's lawyers, were functional and naturally accepted in Roman society. An explanation of the Roman legal institutions of...
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Analysis of Water Bodies on Aretin map of Bohemia
Povolná, Lucie ; Čábelka, Miroslav (advisor) ; Bayer, Tomáš (referee)
This bachelor thesis dealt with the personality of Pavel Aretin, his map of Bohemia from 1619 and its other editions. The main goal of this work was to analyze the leadership on selected editions of Aretin's map from the funds of the Map Collection of the Faculty of Science, Charles University and the National Archive, to perform a basic content and cartometric analysis. The content analysis was focused on the line and area elements of water on Aretin's maps. Changes in the representation of the waterworks during the four editions of Aretin's map of Bohemia and differences in topography from the present were examined. The content analysis included analyzes of map features and descriptions of water bodies. The cartometric analysis focused on the accuracy of the map layout according to identical points awarded to objects related to the water theme. This analysis was performed in MapAnalyst software.
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Simplification of contour lines in flat areas
Čelonk, Marek ; Bayer, Tomáš (advisor) ; Kolingerová, Ivana (referee)
Simplification of contour lines in flat areas The diploma thesis is focused on the cartographic generalization of contour lines derived from dense point clouds in flat territories, where the original contour lines tend to oscillate. The main aim is to propose, develop and test a new algorithm for the contour simplification preserving the given vertical error and reflecting the cartographic rules. Three methods designed for large scale maps (1 : 10 000 and larger) are presented: the weighted average, modified Douglas-Peucker and potential-based approach. The most promising method is based on the repeated simplification of contour line segments by calculating the generalization potential of its vertices. The algorithm is implemented in Python 2.7 with the use of Arcpy library was tested on DMR5G data, the simplified contour lines were compared with the result created by a professional cartographer. Achieved results are presented on attached topographic maps. Keywords: contours, cartographic generalization, digital cartography, vertical buffer, smoothing, GIS
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Data representation for smooth level of detail of spatial objects
Feber, Lukáš ; Brůha, Lukáš (advisor) ; Bayer, Tomáš (referee)
The thesis deals with the concept of level of detail and its use in 3D GIS. The aim of this work is to design a data structure that will allow continuous rendering of discrete 3D building models with different levels of geometric detail, which were created by generalization method based on mathematical morphology approach. The proposed solution creates links of corresponding geometric primitives of models at different level of detail at first and then reconstructs them using the extrusion method. The data structure created in this way is able to generate and render any model, including intermediate models, which are represented as slices through the data structure across the axis of geometric detail.
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Automated recognition of selected terrain features from their cartographic representation
Sykora, Matúš ; Bayer, Tomáš (advisor) ; Brodský, Lukáš (referee)
Automated recognition of selected terrain features from their cartographic representation. This diploma thesis is dedicated to automatic classification of selected terrain shapes and their cartographic representation. The main aim of this thesis is to design methodological approach for automatic recognition of terrain shapes (hills and valleys) with the use of Machine Learning (Deep Learning). The first part of suggested method divides rough terrain segmentation into two categories, which will be then classified with convolutional neural network. The second part of the thesis is dedicated to the very classification of pre-segmented terrain shapes using Machine Learning. Both parts of the processing are using photos SRTM30 as an input data. The whole proposed method was developed in Python programming language with the usage of Arcpy, TensorFlow and Keras libraries. Keywords: Digital cartography, GIS, terrain shapes, Machine Learning, Deep Learning, recognition, classification, segmentation
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Analysis of the celestial maps
Považan, Juraj ; Bayer, Tomáš (advisor) ; Čábelka, Miroslav (referee)
Analysis of the spheric map Abstract The master thesis deals with cartometric analysis of maps of the celestial sphere using image correlation. The main goal of this work was to design an algorithm for the identification of stars on old maps of the starry sky using a normalized cross-correlation and the application of a median and Gaussian filter. The analysis itself takes place on small scale maps or. the whole visible sky divided into two hemispheres, shown in a stereographic projection and also takes into account the influence of the cartographic map display on the position of objects, which it tries to eliminate by Helmert transformation, and also the influence of precession, which affects the position of astronomical objects over time. The accuracy of the drawing of the positions of the objects is evaluated by means of isolines drawn on the basis of positional coordinates. The algorithm was implemented in the Matlab programming environment and old maps from the Mapová sbírka PřF and the 5th edition of Bright Star Cataloque were used as test data, which contains the positions of stars with precisely determined coordinates. The achieved results are presented in the form of images of captured objects and created isolines over old maps as well as tables of the three nearest neighbors of the most important...
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Simplification of rivers based on the spatial reduction method
Mazur, Dominik ; Bayer, Tomáš (advisor) ; Brůha, Lukáš (referee)
This master thesis is focused on cartography generalization of a rivers using collapse and partial collapse method with the usage of straight skeleton data structure. The proposed method was designed for large scale maps in geographical view and for medium scale maps in cartographic view (till 1 : 100 000). The thesis is focusing on width of a river as stand alone criteria for generalization decision. The presented solution represents set of a criteria which decides on generalization of a river. The presented thesis also solves problematic situations that exist on a river such as islands, junctions, shoulders or bifurcation. The thesis also includes proposed generalization algorithm which is using straight skeleton data structure. The algorithm is implemented in C++ programming language in Microsoft Visual Studio IDE. The algorithm uses external libraries Qt and CGAL (Computational Geometry Algorithms Library) for functioning. Algorithm results are saved in ESRI geodatabase with the usage of Python 2.7 programming language and external library ArcPy. Water areas from ZABAGED were chosen as appropriate data for testing. Achieved results of generalization are presented on test data for various scales and they are compared with base maps of Czech Republic. Keywords: digital cartography, cartography...
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Classification of built-up areas for cartographic generalization of state map series
Matyáš, Michal ; Lysák, Jakub (advisor) ; Bayer, Tomáš (referee)
This diploma thesis deals with the topic of automatic classification of buildings. The main goal of this diploma thesis was to design an algorithm for the identification of building types for the purposes of cartographic generalization. For the purposes of this diploma thesis, a total of six types of development were defined with respect to different generalization of individual types on ZM 50. The first part of the proposed method is represented by an algorithm for segmenting buildings into clusters based on the use of already generalized road network and DBSCAN algorithm. The partial goal of this diploma thesis was to compare classifiers from the field of machine learning and neural networks and at the same time to compare classifiers using descriptive characteristics with classifiers using visual assessment. The resulting classifications were evaluated using data from a manually selected training set and using an algorithm comparing the resulting type of development with the type of cartographic representation used to represent the development on ZM 50. The whole method was implemented in Python using Arcpy, Scikit-learn and Tensorflow libraries. Testing took place on elements from the ZABAGED and Data50 databases. Keywords: Generalization of built-up areas, Classification, Machine learning,...
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Analysis of Criginger's maps from Map Collection of Charles University
Popp, Marek ; Čábelka, Miroslav (advisor) ; Bayer, Tomáš (referee)
Analysis of Criginger's maps from Map Collection of Charles University Abstract This bachelor's thesis concerns itself with Criginger's map of Bohemia from 1568. Main objective of this thesis are content analysis and a cartometric analysis of derivates of Criginger's map from the Map Collection of Charles University made by Flemish cartographes Abraham Ortelius, Gerard de Jode and Gerard Mercator and the reproduction of the original map made by Karel Kuchař. Analysis consists of the description of map contents, treatment of map key, analysis of map scale and general cartometric analysis. MapAnalyst software has been used for the indentical spots visualisation. In addition, thesis compares descriptions of settlement on examined maps. Key words: Criginger, old maps, map analysis, Map collection of Faculty of Science
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