GERY
Not a member yet
2232 research outputs found
Sort by
Hypertension in AP Vojvodina (Northern Serbia): A spatio-temporal analysis of patients at the Institute for Cardiovascular Diseases of Vojvodina
No full textHypertension is one of the most prevalent cardiovascular
diseases globally. This study presents a spatiotemporal
analysis of hypertension among patients treated
at the Institute for Cardiovascular Diseases of Vojvodina
between 2000 and 2023. A Mann–Kendall trend analysis
was performed at the settlement level using Python to
identify trends in hypertension cases. The Getis-Ord Gi*
statistic, implemented through the Emerging Hot Spot
Analysis (HSA) tool in ArcGIS Pro, was applied to detect
spatial clusters of hot and cold spots. The Mann–Kendall
analysis identified significant trends in 40 of the 467 settlements
in Autonomous Province Vojvodina. Of these, 36
settlements exhibited an increasing trend in hypertension
cases, while a decreasing trend was observed in 4 settlements.
The Emerging HSA detected 19 clusters classified as
“Consecutive Hot Spots” among 316 analysed clusters, with
no discernible patterns observed in the remaining clusters.
To compare the findings and results from these two analyses,
the Kriging method was applied to the z-values of
trends from both analyses. The method indicated higher
trends in hypertension cases in settlements within South
Bačka County. This research identifies areas with significant
hypertension trends, helping to pinpoint high-risk regions.
The results support further investigation into the causes and
guide targeted public health interventions in the study area
Održivo korišćenje neobnovljivih prirodnih resursa: Planiranje za budućnost
No full textOdrživo korišćenje neobnovljivih prirodnih resursa je ključno za obezbeđivanje ekonomskog razvoja i očuvanje životne sredine za buduće generacije. Neobnovljivi prirodni resursi, kao što su metalične, nemetalične i energetske mineralne sirovine, predstavljaju osnovu moderne industrije i ekonomije. Međutim, njihova ograničena dostupnost i ekološki uticaji eksploatacije postavljaju ozbiljna pitanja o održivosti. U radu su istraženi pristupi i strategije koji se mogu primeniti kako bi se osiguralo efikasno i odgovorno korišćenje ove resursne kategorije. Integracija ekoloških standarda u planiranje urbanog razvoja i industrijske proizvodnje naglašava važnost smanjenja negativnog uticaja na životnu sredinu. Analizirani su koncepti zelene agende u planiranju, održivom upravljanju resursima i tehnoloških inovacija kao ključnih faktora za postizanje održivosti. Takođe, rad ukazuje na ulogu obrazovanja i svesti zajednice u promovisanju održivih praksi kroz multidisciplinarni pristup koji balansira ekonomske, socijalne i ekološke aspekte, čime se doprinosi dugoročnoj održivosti. Kroz efikasno zoniranje, procenu uticaja na životnu sredinu, upravljanje resursima i rehabilitaciju zemljišta, mineralne sirovine mogu da se koriste bez ugrožavanja dugoročne ekološke ravnoteže i društvene stabilnosti. Takođe, kroz integraciju zakonodavnih okvira i politike, planiranje za budućnost može doprineti zaštiti interesa lokalnih zajednica i postizanju ekonomskog razvoja zasnovanog na odgovornom korišćenju prirodnih resursa.Urednici: Dejan Filipović, Velimir Šećerov, Dušan Ristić, Marina Ili
Impact of the agri-geographical transformation of rural settlements on the geospatial dynamics of soil erosion intensity in municipalities of Central Serbia
No full textThe aim of study is to analyze the agri-geographical transformation of rural settlements on changes in the intensity of soil erosion and the geospatial differentiation of soil erosion intensity according to the specificities of rural settlements. The study area included 349 rural settlements in 14 municipalities of Central Serbia. The shift-share analysis method was applied to identify four types of rural settlements: progressive, stagnant, regressive, and dominantly regressive types. An erosion potential model was used to estimate the soil erosion in 1971 and 2011. Cluster analysis (CA) was used to differentiate rural areas of municipalities based on selected indicators. The highest rates of soil erosion intensity reduction were found in the regressive and dominantly regressive types (average specific gross erosion 1971: Ws1 = 980 m3/km2/year; 2011: Ws2 = 587 m3/km2/year). The lowest reduction in erosion intensity was observed in the progressive and stagnant types (average specific gross erosion in 1971: Ws1 = 1,214 m3/km2/year; 2011: Ws2 = 936 m3/km2/year). The spatial differentiation of municipalities through CA revealed a clear pattern: the risk of soil erosion decreases along a north-south gradient. Also, the results of CA showed that natural conditions (forest cover, mean altitude, sediments of Neogene) are the most significant in the differentiation of the rural space of Central Serbia. The multidisciplinary approach used in this study enables a holistic understanding of erosion processes, supports the identification of spatial patterns, and facilitates the formulation of targeted and region-specific land management strategies
UAV-Based Survey of the Earth Pyramids at the Kuklica Geosite (North Macedonia)
No full textThis paper presents methods for a UAV-based survey of the site “Kuklica” near Kratovo, North Macedonia. Kuklica is a rare natural complex with earth pyramids, and because of its exceptional scientific, educational, touristic, and cultural significance, it was proclaimed to be a Natural Monument in 2008. However, after the proclamation, the interest in visiting this site and the threats in terms of its potential degradation rapidly grew, increasing the need for a detailed survey of the site and monitoring. Given the site’s small size (0.5 km2), the freely available satellite images and digital elevation models are not suitable for comprehensive analysis and monitoring of the site, especially in terms of the individual forms within the site. Instead, new tools are increasingly being used for such tasks, including UAVs (unmanned aerial vehicles) and LiDAR (Light Detection and Ranging). Since professional LiDAR is very expensive and still not readily available, we used a low-cost UAV (DJI Mini 4 Pro) to carry out a detailed survey. First, the flight path, the altitude of the UAV, the camera angle, and the photo recording intervals were precisely planned and defined. Also, the ground markers (checkpoints) were carefully selected. Then, the photos taken by the drone were aligned and processed using Agisoft Metashape software (v. 2.1.4), producing a digital elevation model and orthophoto imagery with a very high (sub-decimeter) resolution. Following this procedure, more than 140 earth pyramids were delineated, ranging in height from 1 to 2 m and to 30 m at their highest. At this stage, a very accurate UAV-based 3D model of the most remarkable earth pyramids was developed (the accuracy was checked using the iPhone 14 Pro LiDAR module), and their morphometrical properties were calculated. Also, the site’s erosion rate and flash flood potential were calculated, showing high susceptibility to both. The final goal was to monitor the changes and to minimize the degradation of the unique landscape, thus better protecting the geosite and its value
Vertical Segregation in the Open Housing Blocks of Belgrade: Socialist Legacy and Contemporary Dynamics
No full textThis paper explores vertical segregation in Belgrade, focusing on the open housing blocks built during the socialist era. Using 2022 census microdata at the level of census tracts, we analyze the distribution of social groups by floor of residence. The results show a clear overrepresentation of lower social strata on the ground and basement levels, while higher strata are increasingly concentrated on middle and upper floors. These patterns are most visible in socialist-era housing stock, revealing the persistence of socialist legacies alongside new post-socialist dynamics of privatization and investor-led development. Our findings highlight that vertical segregation in Belgrade coexists with the horizontal center–periphery divide, raising important questions for housing policy and urban justice
Turizam, životna sredina i planiranje prostora
No full textPlaniranje turizma zahteva studiozan pristup i dobro poznavanje prirodnih procesa, zonalnih u azonalnih elemenata, povremenih i trajnih procesa, veza, uslovljenosti, direktnih i povratnih sprega elemenata prostora. Iako postoje univerzalne metode planiranja prostora za potrebe turizma, ne treba ih uvek i svuda bukvalno primenjivati. Svaki prostor namenjen turizmu zahteva primenu svrsishodnih metoda istraživanja i plasmana postignutih rezultata, jer na turističkom tržištu lokalno i regionalno, endemično, ekzemplarno, ima veću cenu od univerzalnog. Planiranje turizma može se shvatiti kao planska, naučno osnovana, kontinuirana i u praksi proverena aktivnost čoveka i društva kojom se teži svrsishodnom i proverenom usmeravanju tzurističko-ugostiteljskih i saobraćajnih objekata, pomoću kojih se na najbolji način odvija turistički promet na odgovarajućem prostoru.Urednici: Dejan Filipović, Velimir Šećerov, Dušan Ristić, Marina Ili
Veb GIS prikaz i značaj UNESCO svetske baštine u Bosni i Hercegovini
No full textGeografski informacioni sistemi (GIS) u svetu moderne tehnologije su važan alat pomoću kog se prikupljaju, analiziraju i prikazuju geoprostorni podaci. Ovaj rad se fokusira na razvoj Veb GIS prikaza UNESCO (United Nations Educational, Scientific and Cultural Organization) svetske baštine u Bosni i Hercegovini. Kreiranjem interaktivne mape, rad pruža sveobuhvatan uvid u lokaciju, karakteristike i značaj UNESCO svetske baštine, naglašavajući njenu turističku vrednost. Cilj rada je istražiti kako Veb GIS poboljšava prikaz UNESCO svetske baštine i turističkih vrednosti, naglašavajući njegovu ulogu u promociji i očuvanju kulturnih i prirodnih dobara. Veb GIS prikaz omogućava korisnicima da analiziraju informacije o ovim lokalitetima, kao što su npr. istorijski, kulturni i prirodni značaj, slike i dr. Ovakav pristup korisnicima pomaže da bolje razumeju vrednost svetske baštine. Rezultati rada ukazuju na to kako Veb GIS može da poboljša turističku atraktivnost i informisanost o kulturnom i prirodnom nasleđu.Urednik: Ranko Miri
The nexus between solar activity and population displacement: The case study of Southern Europe
No full textSolar activity, as the dominant feature of the Sun, has an impact on nature, technology, humans, and their activities on Earth. The aim of this paper is to investigate the linkages between solar activity, natural disasters, and population displacement in Southern Europe, particularly focusing on the characteristics of natural disasters induced displacement during different phases of solar activity. For the purpose of the paper, data on solar activity and displacements induced by hazards category and type in the period 2008–2023 (24 and 25 Solar Cycle) were collected. The quantitative analysis is supported by statistical procedures (seasonal-trend decomposition by Loess-STL, tests for stationarity, correlation analysis, cross-correlation functions-CCF, vector autoregression-VAR, linear regression model, principal component analysis-PCA, k-means) computed in the software R. The results show certain linkages between solar activity and displacements induced by weather related hazards, and indicate that the intensity of this type of displacement is significantly higher during periods of greater solar activity. This paper opens up new horizons for future research in the field of solar activity impact on population displacement
Comparative assessment of GIS-based multi-criteria decision analysis (AHP) and machine learning (MaxEnt) approaches for wildfire susceptibility modeling in Montenegro
No full textThis study provides a national-scale assessment of wildfire susceptibility in Montenegro by comparing two modeling frameworks: a Geographic Information System–based Multi-Criteria Decision Analysis (GIS-MCDA) using fuzzy standardization with the Analytic Hierarchy Process (AHP), and a machine-learning approach based on the Maximum Entropy model (MaxEnt). Historical wildfire occurrences from the Moderate Resolution Imaging Spectroradiometer (MODIS) archive (2001–2024) were analyzed together with initial thirteen geoenvironmental initial causal criteria spanning vegetation, climatic, topographic and anthropogenic factors. After the Variance Inflation Factor (VIF) analysis, eleven causal criteria were retained for further modeling. Results of validation using receiver operating characteristic (ROC) curves showed clear performance differences: GIS-MCDA with fuzzy standardization and AHP weighting achieved low predictive accuracy (area under the curve, AUC = 0.51), whereas MaxEnt performed strongly (AUC = 0.81). These findings highlight the ability of MaxEnt to capture nonlinear relationships and complex interactions among geoenvironmental causal criteria, whereas GIS-MCDA with fuzzy standardization and AHP proved inadequate for reliable wildfire susceptibility assessment in this context. These results confirm the findings of previous studies, while showing an even weaker performance of GIS-MCDA with fuzzy standardization and AHP compared to earlier studies. Importantly, this is the first application of machine learning through MaxEnt for wildfire susceptibility assessment in Montenegro, providing a spatial basis for wildfire management and a foundation for national-scale wildfire risk assessment
Demographic aftermath five years after the Covid-19 outbreak: Serbian scenario
No full textFive years after the outbreak of the SARS-CoV-2 virus epidemic, there is still no comprehensive study of the overall demographic consequences in Serbia. The entire health and social crisis that began in Serbia at the beginning of March 2020 caused unexpected changes in population dynamics through variations in mortality, fertility and migrations, but also affected trends in marriages and divorces. These components of demographic dynamics, after five years, left their mark on the agesex structure of the population and additionally influenced population shrinkage. In this report, we will analyze the change of the components of demographic dynamics together with nuptiality and divorce in the last five years, as well as the age-sex composition of the population recorded by the 2022 Census. So far, the most scientific attention has been paid to the demographic consequences of the Covid-19 crisis through its direct impact on population mortality, while the impact on population fertility (direct and indirect) in Serbia has been far less considered. The migration patterns surely were strongly influenced by the extraordinary social circumstances caused by the pandemic, but still there is no explanation as to whether the impact was immediate and short-term (during the crisis), or whether some different streams of migration to/from and within Serbia were initiated? In the end, the demographic consequences of the changed trends in marriage and divorce and their impact on birth rates in Serbia have remained completely out of scientific focus. Changes in births, mortality, migrations, marriages and divorces continue to shape the demographic reality of Serbia more than five years after the outbreak of the pandemic. What was, or still is, the intensity of this impact; what kind of the negative chain of demographic events was initiated; and what is the total demographic cost of the Covid-19 crisis in Serbia up to this moment, are the questions we will try to answer in this paper.Editor: Natalija Miri