|
|
Spatial analysis of medical data
Stramová, Andrea ; Brůha, Lukáš (advisor) ; Martínek, Karel (referee)
Nowadays, all the aspects that can influence the function of the thyroid gland are not known. Since the influence of environment on progression of many diseases is proved, this thesis deals with the influence of environmental parameters on the thyroid function. The purpose of this thesis is to propose a methodology which will describe selected medical data spatially and statistically, reveal regularities in its spatial organization and create the regression model. The special organization of the data is described by the closest neighbour's methodology and by the Local Moran`s I. Then the methodology of O2PLS, which proposes the regression model, is used. There were identified the cluster organization in the vicinity of towns. In the thesis, the regression model, which takes account of the aspects of the environment (the concentration of As, Cd, Pl, Pb and Se in water), was proposed. The influence of the other environmental parameters on the thyroid function was not proved. The thesis is a benefit mainly for the field of spatial data analysis and also for the endocrinological specialization. Owing to this thesis, the process of the way of working with sensitive medical data, that can be used for inferring important information about its connection to the spatial data, was created. Key words: Spatial...
|
|
|
Evaluation of the status and changes the availability of the primary health care of Czechia in GIS
Hořínek, Jan ; Štych, Přemysl (advisor) ; Brůha, Lukáš (referee)
This work is focused on evaluation the status and changes in the availability of primary health care in the Czech Republic. Primary health care in this case is divided into four groups according to specialty and surveyed the availability of the population from the whole republic to these doctors and at the same time the validity of the law which sets the availability of primary health care within 35 minutes. In the first part, individual theoretical parts, which are related to the topic and content of the work, are analysed. The next section describes the collection of used data. Another methodical part deals with data editing and processing. The last part contains the results and the evaluation which are illustrated in graphs as well as described. The graphical output is composed of maps (attachment) that show the local availability of the population to primary health care. The results provide not only the current state of primary health care, but also some estimates, how local availability can evolve over the coming years. The overall results are summarized in the conclusion. Keywords: primary health care, accessibility, network analysis, road network, GIS
|
|
|
Design of Pravčická brána 3D model and its integration with 2.5D TIN terrain model
Brýdl, Ivo ; Brůha, Lukáš (advisor) ; Lysák, Jakub (referee)
The main goal of this thesis is to design integrated model containing a three-dimensional representation of Pravčická brána rock arch and 2.5D TIN model of surrounding terrain. Point cloud from airborne lidar measurements has to be classified into ground and non-ground features. The ground points are the basis of the TIN terrain representation. Second part of this thesis is focused on methods for reconstructing 3D surface from given points set retrieved with ground-based lidar measurement. The thesis describes the process of meshing point cloud with Poisson surface reconstruction. Finally, these two models are oriented and translated to real coordinates in order to form integrated hybrid model covering part of České Švýcarsko National Park.
|
|
|
Modeling population with topographic data
Šimbera, Jan ; Brůha, Lukáš (advisor) ; Hudeček, Tomáš (referee)
Accurate spatial population data are an important requirement in many applications. In this thesis, the problem of disaggregating the spatial distribution of population density and rent costs using a machine learning model is studied. An approach based on freely available ancillary data such as OpenStreetMap and Urban Atlas is proposed and implemented in the form of an automated Python toolbox for ArcGIS. The applications on the urban areas of Prague, Vienna and Ljubljana show promising results, overperforming the competing population disaggregation solutions in spatial resolution and displaying a satisfying degree of transferability. A number of further improvements is suggested. Powered by TCPDF (www.tcpdf.org)
|
|
|
Feature-based multi-resolution topography
Brůha, Lukáš ; Bayer, Tomáš (advisor) ; Bodum, Lars (referee) ; Bandrova, Temenoujka (referee)
A three-dimensional (3D) representation of the topographic surface is an important element in planning, civil engineering and mapping. Many state-of-the-art representa- tions provided graphical, 3D model of entire planet. However, the existing solutions to 3D topographic surface lack the geometric flexibility and accuracy on boundaries with models of other geographic features. Most of the contemporary approaches to digital Earth solutions focus on the visualization performance. The high visual performance is achieved by the use of special data structures optimized for rendering. However, this optimization towards visualization hampers the data management of spatial data, their analysis and distribution. Therefore, the introduced solution reflects on multiple requirements of digital Earth systems. In addition to the visualization performance, the requirements regarding data interoperability, data management and distribution, data analysis and the multiple level of detail (LOD) are considered as essential for the design of the new solution. The topographic surface is central to the proposed method. It provides the defining surface in terms of which other features can be geographically referenced to. Therefore, this work introduces a new, more functional data representation of multi-resolution...
|
|
|
3D vVizualization Campus Buildings Albertov
Peterková, Tereza ; Štych, Přemysl (advisor) ; Brůha, Lukáš (referee)
3D vizualization campus buildings Albertov Abstract This work deals with theoretical and practical aspects of 3D countryside model creation and housing development with the help of geoinformation technologies, concretely programme equipment ESRI ArcGIS and Google SketchUp. The first part of the work brings a general overview concerning the problematics of 3D simulating and the possibilities of 3D information representation. It also includes a survey of already elaborated projects focused on visualisation of built up premises. However the crucial part is the practical part of the work, which deals with the creation of 3D model of the University Campus Albertov in Prague. The source data and used software are analysed first of all, followed by the description of digital terrain model creation and the models of buildings themselves. The final part focuses on the possibilities of final visualisation and output creation.
|
|
|
Models of public transport in the GIS environment
Loukotka, Tomáš ; Grill, Stanislav (advisor) ; Brůha, Lukáš (referee)
Models of Public Mass Transportation in GIS Environment Abstract The thesis tries to describe and categorize models of public mass transportation. A new model is built upon these models and based on authors' thoughts. This model is constructed to work with headways only instead of timetables. Therefore one cannot precisely estimate the passengers' behaviour. The model works also with street network aside from public transportation lines. An application is built upon these model and allows network editing and processing of shortest-path analysis and accessibility analysis. Technologies used: ExtJS, OpenLayers, CGI, Shapely, STORM, PostgreSQL. This application is then used for building a public transportation network of Prague 6 region and for performing analysis upon this network.
|
|
|
The process of city block modeling using a procedural programming language
Koucká, Lucie ; Štych, Přemysl (advisor) ; Brůha, Lukáš (referee)
The master thesis deals with a block subdivision into parcels using procedural modeling. The main goal focuses on improving of the existing method called OBB-based Subdivision that uses auxiliary envelopes of rectangle shape for splitting. It is required to adapt the method to Czech conditions as well. The first part focuses on the analysis of scientific publications, which describes the development and current situation of procedural modeling issues. Then the methodology of suggested algorithm is described that tests a change of the envelope to the trapezium shape, respectively to the quadrangle shape. In conclusion, the proposed algorithms are tested on the real data in CityEngine, which offered the possibility of using procedural approach to automatically generate 3D parcels. The whole process is controlled by the limitations of development plans of the selected urban areas. Powered by TCPDF (www.tcpdf.org)
|
|
|
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.
|
|
|
Geographical Random Forest model evaluation in agricultural drought assessment
Bicák, Daniel ; Brodský, Lukáš (advisor) ; Brůha, Lukáš (referee)
Drought is a natural disaster, which negatively affects millions of people and causes huge economic losses. This thesis investigates agricultural drought in Czechia using machine learning algorithms. The statistical models utilised were Random Forest (RF), Geographical Random Forest (GRF) and Locally Tuned Geographical Random Forest (LT GRF). GRF consists of several RF models trained on a subset of original data. The final prediction is a weighted sum of the prediction of a local and global model. The size of the subset is determined by the tunable parameter. LT GRF addresses spatial variability of subset size and local weight. During the tuning process, optimal parameters are found for every location and then interpolated for unknown regions. The thesis aims to evaluate the performance of each model and compare GRF feature importance output with the global model. The best model features meteorological impor- tances are used to create a drought vulnerability map of Czechia. Produced assessment is compared to existing drought vulnerability projects. 1
|
guest ::
