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Possibilities of using Selected Visualization Methods for Historical Analysis of Sporting Event – An Example of Stage Cycling Race Tour de France

. Integral part of the resulting map are four chord diagrams, while in the legend is also a reference to the online version of each chord diagram. D3 and TopoJSON D3 (Data Driven Documents) is a JavaScript library for producing data visualizations of extensive amounts of data. D3 allows direct control of data while using the standard model of an object, the so-called DOM (Document Object Model). Developers can link input data to any elements of a document using D3, apply dynamic transformation, and modify the content ( Bostock et al. 2011 ). The TopoJSON format is a

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Simulation of Changes of The Warsaw Urban Area 1969-2023 (Application of Cellular Automata)


It is possible to make analyses within the field of GIS applying cellular automata. One of the purposes of socio-economic geography is indirect understanding of the phenomenon by analyzing spatial patterns and inferring spatio-temporal processes looking rather for local hotspots. The cellular automata are the tool both for spatio-temporal inferring based on local conditions and data visualization. The evidence is the case study of spatial simulation of Warsaw Urban Area (Poland).

The author verifies the hypothesis that the present layout and extent of the Warsaw agglomeration determines further directions of the city’s spatial development. To this end, he employs a method based on cellular automata theory.

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Application of the Spatial Database for Shoreline Change Analysis and Visualisation: Example from the Western Polish Coast, Southern Baltic Sea

results is through the R statistical environment ( Kabacoff 2011 ) connected to the PostgreSQL database. The database driver and standard R graphical functions perform data visualisation techniques loaded into the R data frame from a database table. The measurements of the rate of shoreline changes per year between different shoreline positions were made using the end-point rate method ( Dolan et al. 1991 ). The necessary statements executed in the R environment are presented in Figure 9 . Graphical plots of the results retrieved from the database table are presented

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Participatory Mapping in Community Participation – Case Study of Jeseník, Czech Republic

data visualised as point clouds, heat maps and hexagon generalisations. Each topic can be visualised separately and answers can be filtered according to gender, whether the respondent lives in Jeseník and in which neighbourhood the respondent lives. Comments on the points, where applicable (in total 1,538 comments), are also available to read. Furthermore, the city council received the raw data as shapefiles, as well as six simple maps for immediate visualisation. The maps were created in open-source QGIS 2.18, with the utilisation of the heat-map visualisation

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Geo-Questionnaire: A Spatially Explicit Method for Eliciting Public Preferences, Behavioural Patterns, and Local Knowledge – An Overview

knowledge and public preferences. We have discussed geo-questionnaire data content, data visualisation, aggregation and analysis methods. We have reviewed several issues underpinning the applications of geo-questionnaires in academic research and in municipal planning, including respondent selection and recruitment, data quality, and data representativeness. To substantiate the discussion of method with application examples we have briefly described four recent geo-questionnaire use cases from Poland. The described case studies show the versatility of geo-questionnaire as

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A thematic cartographic visualization of a small region, based on the example of the Mrozy Commune

Mrozy. The second part of this article involves the assessment of the collected data. The data was checked in terms of completeness (it turned out that some of the data was lacking), topicality, details (the Mrozy commune is a small area), and usefulness for map design (the data deemed useful for visualization, was data with a spatial reference). A database was developed for the purposes of spatial data visualization. The data in this database was coded, generalized, and described. Furthermore, the database can be updated and expanded as needed. The next stage was

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Regional Co-Operation and Economic Prosperity in South Asia: Challenges of Unfair Trade and Transboundary Deadlock


Subject and purpose of work: The study attempts to examine the trade unfairness and transboundary bottlenecks between Bangladesh and India with a view to prosper a balanced trade and sustained water cooperation.

Materials and methods: The study is based on secondary data and statistical information. Mixed research methods such as qualitative, quantitative and data visualization techniques are adopted in this study to assess the political economy of river basin management, loss and damage assessment and trade situation assessment.

Results: Due to upstream intervention, the North-Western region of Bangladesh has lost 4254218 metric tons of rice production during 2006-2014 cropping years which value is $1036 million. During the same period, the trade deficit of Bangladesh stood at $5.58 billion with India due to the diverse tariff and non-tariff barriers which triggers tension between this close neighbor.

Conclusions: The trade and water co-operation should be extended among the South Asian countries including India and Bangladesh without delay to obtain the maximum benefit and economic prosperity.

Open access