National Repository of Grey Literature 421 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Public Transportation Lines classification by GNSS data
Pizur, Jaroslav ; Lázna, Tomáš (referee) ; Jílek, Tomáš (advisor)
The subject of this thesis is digitalization of bus transportation. The input is represented by a sequence of GNSS data which are transformed to the OpenStreetMap format. Doing so, it is enriched by the information OpenStreetMap format provides and it gains its positional advantages as well. Then this thesis deals with ways by which one can detect bus lines from this general sequence of GNSS coordinates. A bus line is recognized as a repeating trajectory, which satisfies criteria derived from its expectable or defined characteristics. A few clustering solutions are proposed and tested for their performance. On the basis of this testing, there is one solution chosen as the best performing one, to be the proposed solution of this thesis. The overall output will therefore be formed by automatic mapping of bus lines with no theoretical area limit and with minimum manual intervention needed. It lays the foundations for various intelligent real-time processes to be implemented as well as allowing for infrastructure to be processed for the statistics purposes or urban planning.
Geoinformatics in secondary school's curriculum
Král, Luboš
This thesis is focused on the use of geospatial tools in secondary schools in Czech republic. Subject of study are mainly Geographic information systems (GIS) and Remote sensing and their implementation into secondary school curricula. Aplication a research in this area is in the centre of interest of IGU. Previous works showed, that GIS has great potential to contribute to effective learning of geographic concepts, knowledge and GIS can be a tool for display, inquiry and analysis in problem based learning. The main goal is to explore the current state of geoinformatics involvement in teaching in secondary schools and to identify how to develop this condition at all levels of the curriculum (intended, implemented and attained). In order to achieve this general objective in thesis are chosen for each level of curriculum following goals: 1) At the level of intended curriculum we are dealing with two questions: At first, how is geoinformatic's topic presented in national's curriculum of a selected countries. At second, which geoinformatic skills should be acquired by secondary school's students. The main method is content analysis of documents. 2) At the level of implemented curriculum we try to provide findings regarding the current state of proliferation of the GIS software at Czech grammar schools...
Use of remote sensing data for monitoring of long-term vegetation dynamics on the landscape scale
Brůna, Josef
This thesis deals with the use of remote sensing data for studying and monitoring vegetation changes. Thanks to archival materials, we can now make extensive studies at the landscape and global level without the need for large-scale old field data. From the Middle Ages, we can rely on different types of maps, for vegetation studies, these are mainly forestry maps. Since the 1930's, aerial photographs have been available in Europe, and satellite imagery was available since the 1970's. Availability and quality of satellite imagery had increased rapidly during my study. The most recent data source are unmanned aerial systems and methods of processing their data, which allow inexpensive detailed mapping of large areas. The presented publications do not only solve ecological research questions, but also contribute to solving current environmental problems in the Czech Republic, from nature conservation in National Parks and protected areas to monitoring of plant invasions. I have used archival forest maps for the reconstruction and analysis of large disturbances (windthrow and subsequent gradations of bark beetle) in forests of Šumava and the Bavarian Forest in 1868-1870. Species composition, as well as environmental factors derived from digital elevation model, were analyzed. The same topic was also...
A methodology for the comprehensive identification and protection of the valuable attributes of historic cities and public spaces and the preservation of their authenticity
Jehlík, J. ; Drdácký, Tomáš ; Plos, J. ; Zdráhalová, J. ; Rýpar, V.
The purpose of this work is to create a methodology for identifying complementary attributes critical to the sustainability and authenticity of historic towns and for designing innovative tools for their protection in land-use planning and care-taking processes at heritage sites. In addition, this methodology can be further used to present the values of historical urbanism. It is based on a relatively comprehensive urban assessment and innovative methods using computer-aided imaging techniques conforming to international standards of urban management with public participation. The specific objective is to formulate and define general standard documentation and tools for assessing urban development in the course of planning and building-development within the framework of heritage-site care and preservation, or more precisely, to assess the degree of heritage value of specified urban/urbanistic phenomena and their attributes. In other words: the specification of urban phenomena and their attributes with heritage potential.
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
Spatial and temporal variation of UV reflectance in relation to environmental factors in genus Pieris and Colias.
Stella, David ; Kleisner, Karel (advisor) ; Bogusch, Petr (referee) ; Morehouse, Nathan (referee)
A bst r a ct Ultravi olet ( U V) mea ns' bey o n d vi olet' (fr o m t he Lati n - ultra - bey on d), w here by vi oletis t he c ol o ur wit h hig hestfre q ue nciesi n t he'visi ble'lig ht s pectr u m. By'visi ble' we refer t o h u ma n visi o n b utit m ust be ta ke n i nt o acc o u nt t hat h u ma n vis ual perce pti o n is i n c o m paris o n t o ma ny ot her orga nis ms rat her li mite di n ter ms of wavele ngt hsit ca n perceive. isis w hy c o m m u nicati o ni n t he U V s pectr u mis of- te n calle d hi d de n, alt h o ug hit m ostli kely plays a ver yi m p orta nt r olei n t he c o m m u nicati o n of vari o us ki n ds ofi nf or mati o n a m o ng a wi de variet y of orga nis ms. e ai m of t he prese nt t hesis is t o el uci date t he fu ncti o ns a n d relative i m p orta nce of U V pa er ns mai nl y i n L e pi d o ptera fr o m a h olistic ec ol o gical a n d ev ol uti o nar y pers pective. U V re fl ecta nce ca n- n ot be st u die d i n is olati o n: i m p orta nt i nteracti o ns a m o n g several ot her varia bles s uc h as li g ht c o n - dit i o ns, ge neral o ptic pr o perties of nat ural o bjects, t he vis ual s yste m, a n d si g nal pr ocessi n g are t h us disc usse d as well, b ut a n overall e m p hasis o n U V re flecta nce is mai ntai ne d t hr o u g h o ut. M ore over, t his w or k...
Černický, David ; Štych, Přemysl (advisor) ; Laštovička, Josef (referee)
This thesis deals with factors influencing the average speed on Czech roads. Curvature and inclination of the slopes were selected among the main factors influencing the average speed. Until now, these factors have been considered at discrete intervals, not as continuous functions. The function for calculating the curvature is based on ČSN 73 6101, where the equation with all variables is directly defined. The functional relationship for the movement of vehicles in sloping terrain was created from data from scientific articles. Therefore, an algorithm was implemented in this thesis, which can automatically evaluate the average speed on the road network. Python was used to implement this algorithm. Furthermore, there is a testing section for travel times, which is validated using route planners and also supported by extensive field research. Testing took place in GIS using network analysis methods. Testing has shown that the inclusion of curvature and inclination will significantly improve the calculation of travel times. key words: network analyst, curvature, gis, algorithm
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...
Assessment of hydraulic reliability of drainage system in urban area and solution of extra-urban storm water.
Šebek, Josef ; Macsek, Tomáš (referee) ; Hlavínek, Petr (advisor)
This diploma thesis presents the topic of urban drainage systems. The first theoretical part contains methods and options for urban drainage systems, stormwater management, blue-green infrastructure (BGI) in urban areas and introduction of numerical modelling of sewerage systems. The application of modelling platforms is further described in the feasibility study in the practical part of this thesis. By using the simulation model, the study assesses the hydraulic reliability of the drainage system in the city of Jedovnice in the Czech Republic, identifies hydraulic issues and their causes on the urban drainage system. The second part of the study assesses extra-urban stormwater inflow from fields around the city caused by heavy rainfalls, which causes local flooding in the urban area. The identification as well as proposed solutions and capital expenditures, their comparison and recommendation of the optimal solution are included in the study.
GIS in Building Practice
Laciga, Jan ; Vaňková, Lucie (referee) ; Krejza, Zdeněk (advisor)
This diploma thesis deals with the possibilities of using the geographic information systems in construction practice with a focus on facility management of buildings. The goal is to show the possibilities of use and the advantages that GIS offers in the construction industry thanks to its analytical and visualization capabilities. In the theoretical part there are basic terms such as BIM, Industry 4.0, GIS and facility management described. Furthermore, the possibilities of using GIS in construction industry and facility management of buildings are addressed. In the practical part the procedure of creating a GIS database for facility management is processed, specifically on information model of BUT FAST campus premises.

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