Spatio-temporal dependencies between hospital beds, physicians and health expenditure using visual variables and data classification in statistical table

Medyńska-Gulij, Beata; Cybulski, Paweł

doi:10.1515/geocart-2016-0002

Cited by 12 publications

(7 citation statements)

References 21 publications

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“…Besides, many researchers base their experiments on only one visual method of coding data and on one mapping method [46,74]. The choice of different colors may impact conclusions [75,76]. The authors agree that the various methods of cartographic redundancy and their combinations with various mapping techniques should be tested by further studies.…”

Section: Discussionmentioning

confidence: 99%

Cartographic Redundancy in Reducing Change Blindness in Detecting Extreme Values in Spatio-Temporal Maps

Cybulski

Medyńska-Gulij

2018

IJGI

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Abstract:The article investigates the possibility of using cartographic redundancy to reduce the change blindness effect on spatio-temporal maps. Unlike in the case of previous research, the authors take a look at various methods of cartographic presentation and modify the visual variables in order to see how those modifications affect the user's perception of changes on spatio-temporal maps. The study described in the following article was the first attempt at minimizing the change blindness phenomenon by manipulating graphical parameters of cartographic visualization and using various quantitative mapping methods. Research shows that cartographic redundancy is not enough to completely resolve the problem of change blindness; however, it might help reduce it.

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Section: Discussionmentioning

confidence: 99%

Cartographic Redundancy in Reducing Change Blindness in Detecting Extreme Values in Spatio-Temporal Maps

Cybulski

Medyńska-Gulij

2018

IJGI

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“…Low-level aerial imagery obtained by monitoring open pit mining areas at specified time intervals might become the basis for designing an animated visualisation presenting changes affecting those areas with the use of visual variables (Halik and Medyńska-Gulij 2017;Medyńska-Gulij and Cybulski 2016). The workflow for geomatic data transformation and geovisualisation as proposed in the paper might have a wide application in many areas of life, raising the level of spatial awareness and serving to clarify spatial relations between the geospheres.…”

Section: Discussionmentioning

confidence: 99%

Geovisualisation of Relief in a Virtual Reality System on the Basis of Low-Level Aerial Imagery

Halik

Smaczyński

2017

Pure Appl. Geophys.

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Abstract-The aim of the following paper was to present the geomatic process of transforming low-level aerial imagery obtained with unmanned aerial vehicles (UAV) into a digital terrain model (DTM) and implementing the model into a virtual reality system (VR). The object of the study was a natural aggretage heap of an irregular shape and denivelations up to 11 m. Based on the obtained photos, three point clouds (varying in the level of detail) were generated for the 20,000-m 2 -area. For further analyses, the researchers selected the point cloud with the best ratio of accuracy to output file size. This choice was made based on seven control points of the heap surveyed in the field and the corresponding points in the generated 3D model. The obtained several-centimetre differences between the control points in the field and the ones from the model might testify to the usefulness of the described algorithm for creating large-scale DTMs for engineering purposes. Finally, the chosen model was implemented into the VR system, which enables the most lifelike exploration of 3D terrain plasticity in real time, thanks to the first person view mode (FPV). In this mode, the user observes an object with the aid of a Head-mounted display (HMD), experiencing the geovisualisation from the inside, and virtually analysing the terrain as a direct animator of the observations.

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“…On the basis of maximum or minimum value of the feature seven quantitative color classes of changes were created (three classes of increase, three of decrease, and one for no change). We have used intuitive bipolar color scheme with differentiation of blue and red brightness (Medyńska-Gulij & Cybulski, 2016).…”

Section: Visualizationmentioning

confidence: 99%

Spatial visualization of quantitative landscape changes in an industrial region between 1827 and 1883. Case study Katowice, southern Poland

et al. 2020

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The aim of the study is to present landscape changes in the nineteenth century in the central part of the Upper Silesian Industrial District, which is the municipality of Katowice (southern Poland). The comparison of changes, particularly components of the geographical environment, is based on two time periodsthe year 1827 and 1883. Nineteenth-century maps were georeferenced, digitized and a series of thematic spatial visualizations presenting quantitative changes were generated by means of the Geographic Information System (GIS). The scale of the visualization created is 1:100,000 and the area is 16,400 ha. The spatial visualization of quantitative landscape change shows the development of the anthropogenic pressure in the form of settlement areas, raw materials extraction places, roads, and the decrease of natural environments, such as forests, rivers, and water bodies. These changes were caused mainly by the exploration of underground deposits and the rapidly growing population of Upper Silesia.

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Spatio-temporal dependencies between hospital beds, physicians and health expenditure using visual variables and data classification in statistical table

Cited by 12 publications

References 21 publications

Cartographic Redundancy in Reducing Change Blindness in Detecting Extreme Values in Spatio-Temporal Maps

Cartographic Redundancy in Reducing Change Blindness in Detecting Extreme Values in Spatio-Temporal Maps

Geovisualisation of Relief in a Virtual Reality System on the Basis of Low-Level Aerial Imagery

Spatial visualization of quantitative landscape changes in an industrial region between 1827 and 1883. Case study Katowice, southern Poland

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