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Quality of life and life satisfaction are topics that currently receive a great deal of attention across the globe. Many approaches exist, which use both qualitative and quantitative methods, to capture these phenomena. Historically, quality of life was measured exclusively by economic indicators. However, it is indisputable that other factors influence people’s life satisfaction, which is captured by subjective survey-based data. By contrast, objective data can easily be obtained and cover a wider range, in terms of population and area. In this research, the multiple fuzzy linear regression model is applied in order to explain the relationship between subjective life satisfaction and selected objective indicators used to evaluate quality of life. The great advantage of the fuzzy model lies in its ability to capture uncertainty, which is undoubtedly associated with the vague concept of subjective life satisfaction. The main outcome of the paper is the detection of indicators that have a statistically significant relationship with life satisfaction. Subsequently, a pan-European sub-national prediction of life satisfaction after the consideration of the most relevant input indicators was proposed, including the uncertainty associated with the prediction of such a phenomenon. The study revealed significant regional differences and similarities between the originally reported satisfaction of life and the predicted one. With the help of spatial and non-spatial statistics supported by visual analysis, it is possible to assess life satisfaction more precisely, while taking into account the ambiguity of the perception of life satisfaction. Additionally, predicted values supplemented with the uncertainty measure (fuzzy approach) and the synthesis of results in the form of European typology help to compare and contrast the results in a more useful manner than in existing studies.
Karel Macků; Jan Caha; Vít Pászto; Pavel Tuček. Subjective or Objective? How Objective Measures Relate to Subjective Life Satisfaction in Europe. ISPRS International Journal of Geo-Information 2020, 9, 320 .
AMA StyleKarel Macků, Jan Caha, Vít Pászto, Pavel Tuček. Subjective or Objective? How Objective Measures Relate to Subjective Life Satisfaction in Europe. ISPRS International Journal of Geo-Information. 2020; 9 (5):320.
Chicago/Turabian StyleKarel Macků; Jan Caha; Vít Pászto; Pavel Tuček. 2020. "Subjective or Objective? How Objective Measures Relate to Subjective Life Satisfaction in Europe." ISPRS International Journal of Geo-Information 9, no. 5: 320.
Non-tuberculous mycobacteria (NTM) are ubiquitous environmental bacteria that can induce pulmonary and non-pulmonary diseases in susceptible persons. It is reported that the prevalence of NTM diseases is increasing in developed countries, but this differs by regions and countries. NTM species distribution and the rate of diseases caused by NTM vary widely in the historical territories of Moravia and Silesia (Czech Republic). This epidemiologic study of NTM diseases covers the period 2012–2018, reviews isolates obtained from patients with clinical disease and investigates correlations with related socio-economic and environmental factors. Individual NTM patients were included only once during the studied period and results were presented as incidence rate per year. The most frequently isolated NTM meeting the microbiological and clinical criteria in the study were the Mycobacterium avium-intracellulare complex, followed by Mycobacterium kansasii and Mycobacterium xenopi. A previously described endemic incidence of M. kansasii in the Karviná district and M. xenopi in the Ostrava district was also observed in this study. The incidence of NTM patients in the whole studied territory was 1.10/100,000 inhabitants (1.33/100,000 in men and 0.88/100,000 in women). The annual incidence of lymphadenitis in children (≤5 years of age) was 2.35/100,000 of the population of children during the 7 year period but increased in the year 2018 to 5.95/100,000. The rate of human tuberculosis in the studied area was 1.97/100,000 inhabitants. The incidence of NTM pulmonary diseases correlated with a lower socio-economic status (r = 0.63) and a higher concentration of benzo[a]pyrene pollution in the air (r = 0.64).
Helena Modrá; Vít Ulmann; Jan Caha; Dana Hübelová; Ondřej Konečný; Jana Svobodová; Ross Tim Weston; Ivo Pavlík; Caha. Socio-Economic and Environmental Factors Related to Spatial Differences in Human Non-Tuberculous Mycobacterial Diseases in the Czech Republic. International Journal of Environmental Research and Public Health 2019, 16, 3969 .
AMA StyleHelena Modrá, Vít Ulmann, Jan Caha, Dana Hübelová, Ondřej Konečný, Jana Svobodová, Ross Tim Weston, Ivo Pavlík, Caha. Socio-Economic and Environmental Factors Related to Spatial Differences in Human Non-Tuberculous Mycobacterial Diseases in the Czech Republic. International Journal of Environmental Research and Public Health. 2019; 16 (20):3969.
Chicago/Turabian StyleHelena Modrá; Vít Ulmann; Jan Caha; Dana Hübelová; Ondřej Konečný; Jana Svobodová; Ross Tim Weston; Ivo Pavlík; Caha. 2019. "Socio-Economic and Environmental Factors Related to Spatial Differences in Human Non-Tuberculous Mycobacterial Diseases in the Czech Republic." International Journal of Environmental Research and Public Health 16, no. 20: 3969.
Weighted Linear Combination (WLC) is one of the most popular methods for Multiple Criteria Decision-making (MCDM) in the field of geoinformatics. A typical utilization of WLC is in land suitability assessment and optimal location detection. The application of WLC requires the determination of weights for each criterion used in the MCDM problem. In this paper, we focus on a fuzzy Analytical Hierarchy Process (AHP) which is based on pairwise comparisons of criterion importance and, unlike the classic (crisp) AHP, it can contain uncertainty. This allows the user to include imprecise or incomplete knowledge in an MCDM problem. The theoretical part of the paper briefly describes fuzzy AHP and provides the necessary mathematical background. The practical part of the contribution is focused on testing two algorithms for weight determination in fuzzy AHP—the extent analysis method and a method based on constrained fuzzy arithmetic. The methods are described in terms of the amount of uncertainty in the result, the resulting value, and overall appropriateness. A four level fuzzy AHP problem containing one main goal, three criteria and twenty-four subcriteria is solved as a case study using both methods. Based on the results obtained, the recommendations for fuzzy AHP utilization in spatial suitability assessment are made.
Jan Caha; Jaroslav Burian. Comparison of Fuzzy AHP Algorithms for Land Suitability Assessment. Lecture Notes in Geoinformation and Cartography 2017, 31 -46.
AMA StyleJan Caha, Jaroslav Burian. Comparison of Fuzzy AHP Algorithms for Land Suitability Assessment. Lecture Notes in Geoinformation and Cartography. 2017; ():31-46.
Chicago/Turabian StyleJan Caha; Jaroslav Burian. 2017. "Comparison of Fuzzy AHP Algorithms for Land Suitability Assessment." Lecture Notes in Geoinformation and Cartography , no. : 31-46.
The availability of detailed and precise digital surface models based on LiDaR data allows accurate calculation of visibility analysis even in urban areas. Lately, the viewshed analysis, which is implemented in geographical information systems, is often used to determine the visibility of buildings or other structures in both natural and urban environments. Such utilization of viewshed tool, which is originally designed to assess visibility from point to its neighbourhood, however, brings issues regarding partial visibility of the target that are usually neglected. The core of the problem here is that the target building is often represented as a single point in the viewshed analysis. This simplification can lead to an incorrect assessment of the visibility as the specific point of the building can be invisible for the observer while other parts of the building are visible. To properly analyse visibility of a building it is necessary to consider partial visibility of the target. To allow the assessment of partial visibility more than one point that represents the building needs to be defined. In this contribution, the theoretical aspects of reverse viewshed, an area from which a target point is visible, are considered with a focus on the proper representation of target building in the reverse visibility analysis. A practical study of building visibility is conducted with the building represented as single and multiple points. The results are compared and the differences are explored.
Jan Caha. Representing Buildings for Visibility Analyses in Urban Spaces. Lecture Notes in Geoinformation and Cartography 2017, 17 -29.
AMA StyleJan Caha. Representing Buildings for Visibility Analyses in Urban Spaces. Lecture Notes in Geoinformation and Cartography. 2017; ():17-29.
Chicago/Turabian StyleJan Caha. 2017. "Representing Buildings for Visibility Analyses in Urban Spaces." Lecture Notes in Geoinformation and Cartography , no. : 17-29.