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Authors: Daniela Arsenović

Abstract: Mortality statistics is underlay for public health measures and action and consequently it is one of the major indicator in measures of Covid-19 impact on population. This study aim to explore excess mortality during the Covid-19 pandemic in Serbia. Excess mortality compares expected and observed number of deaths during the given period. Analysis in this paper was based on excess deaths and excess mortality rate. Data was downloaded from the national COVID-19 database and obtained from a relevant source from the Statistical Office of the Republic of Serbia. In order to provide better understanding of excess death, the excess mortality rate was calculated for the period January 2015-June 2022. For the period January 2015-February 2020, 38 months were observed without excess deaths, while in months with excess deaths, almost in all months excess mortality rate was below 12%. Since March 2020, the excess mortality rate has increased significantly, with highest values in December 2020 (91.4%), October (84.3) and November (67.8) 2021.

Keywords: excess mortality rate; excess deaths; Covid-19; pandemic; Serbia

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Received: October 12, 2022 | Revised: February 11, 2023 | Accepted: February 27, 2023

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Authors: Viktória Szőke, László Kovács

Abstract: Networks and network science are not new: since the middle of the 20th century, networked structures are analyzed in geography. In recent years, however, with the emergence of network science, with the availability of big data, with improved computational capabilities and new software, the knowledge and analysis of networks have improved substantially. Present paper uses network science in economical geography: it analyzes the connections between settlements in western Hungary based on the business connections of agribusinesses. For the research, we used a questionnaire asking for purchase and sales connections of the selected agribusinesses and analyzed the results from the perspective of network science. Results show that in an agribusiness network the purchase network is more complex than the selling network and that in spatial networks connected to agribusinesses not large cities, but small towns and villages play a central role.

Keywords: agribusinesses; networks; business relationships

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Received: August 29, 2022 | Revised: December 11, 2022 | Accepted: December 19, 2022

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Authors: Nándor Csikós, András Máté-Tóth

Abstract: In this recent study, we analyse the religious diversity of Central and Eastern Europe, from the Balkans up to the Baltic region. This region has many religious confessions, without claiming completeness, Roman Catholic, Reformed, Lutheran, Orthodox, Islam, Hussite and many people without any religion. The recent spatial distribution of the religious confessions has been shaped by different drivers across Central and Eastern Europe. We chose a quantitative method to visually interpret the pluralism of the religious confessions and we selected diversity indices. We calculated the diversity of the religious confessions and ethnicities in a very detailed resolution, at municipality level of each country, based on population census data of 2011. We found statistically significant relationship between the diversity of religious confessions and the diversity of ethnicities. We have also shown that near the national borders, the religious pluralism is higher than in another areas. There is statistically significant connection between the former national borders (1900s and 1930s) and the religiously plural areas. The results of this study provide the evidence of the spatial distribution of borderline syndrome and serves as a good basis for further research (theoretical and statistical) of the religion pluralism in Central-Eastern Europe.

Keywords: religious pluralism; religious diversity; GIS; borderline; region; statistical analysis

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Received: January 27, 2023 | Revised: March 10, 2023 | Accepted: March 15, 2023

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Authors: Alma Kadušić, Sabahudin Smajić, Suad Kunosić, Nedima Smajić

Abstract: The aim of this research is to analyze the spatial distribution of the population ageing in Bosnia and Herzegovina and identify areas of the country that are particularly vulnerable to negative demographic trends. To achieve the goal of the study, data on the ageing coefficient and ageing index for the period
2013-2020 were used. The geospatial analysis of these indicators was performed using global (Global Moran’s I and Getis-Ord General G) and local (Anselin Local Moran’s I and Getis-Ord G*) indexes of spatial autocorrelation. The research results confirmed the clustering of both indicators. Ageing coefficient values are clustered in municipalities in western, northwestern, eastern, and central Bosnia and Herzegovina. Ageing index values are clustered in municipalities in central, western, northwestern, and northeastern Bosnia and Herzegovina. This study provides insight into the research methods of spatial demographic trends and phenomena, and its findings can serve as a basis for future demographic research and development in Bosnia and Herzegovina.

Keywords: spatial analysis; spatial autocorrelation; spatial patterns; population ageing; Bosnia and Herzegovina

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Received: December 28, 2022 | Revised: March 09, 2023 | Accepted: March 10, 2023

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Authors: Anang Wahyu Sejati, Savira Nur Afifah Kusuma Putri, Sri Rahayu, Imam Buchori, Kristantri Rahayu, I Gusti A.M. Andika Wiratmaja, Ahmad Jihan Muzaki, Yudi Basuki

Abstract: Recent discussions on flood disasters concern the risk factors and causes between nature and anthropogenic activities. This disaster requires serious handling, which needs to be analysed, especially in areas affected by flooding with the Tegal Regency, Indonesia case study. The weakness of the existing mitigation efforts still needed comprehensive analyses, requiring a multi-criteria assessment based on GIS spatial analysis. The GIS method used is a raster calculator and weighted superimpose by setting several calculation variables from both physical and non-physical aspects to support the multicriteria spatial analysis. The results show that spatially, more than 30% of areas with a high-risk index are located in the downstream or coastal regions of Tegal Regency. However, the index of capacity and resilience in several flood-affected sub-districts is at an index above 0.5, so they have good strength to disasters such as the four sub-districts of Adiwerna, Bumijawa, Bojong, and Kramat. From the analysis results, land use change is the biggest problem that affects the number of the flood event. With this condition, the appropriate mitigation effort for Tegal Regency is strengthening the spatial planning policy and increasing the capacity, especially in disaster governance in a high-risk area. Thus, the vulnerability and hazard factors will be anticipated with high community participation in strengthening the capacity index.

Keywords: GIS spatial analysis; Flood disaster; Capacity Index; Land Use change

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Received: October 31, 2022 | Revised: February 20, 2023 | Accepted:March 08, 2023

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Authors: Bui B. Thien, Vu T. Phuong

Abstract: Forests are essential in regulating climate and protecting land resources from natural disasters. In Vietnam’s Dak Nong province, forest cover has changed significantly between 1989 and 2021. This study applies remote sensing and geographic information systems (GIS) approaches to detect negative changes in forest cover as well as other land cover types. The maximum likelihood classification tool was used to classify Landsat images for the years 1989, 2001, 2011, and 2021, with post-classification accuracy evaluated through kappa coefficient statistics. The potential to based classification on Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) to detect changes in forest cover compared with supervised classification was also evaluated. The land use and land cover change detection results show that the forest area decreased from 77.54% of the study area in 1989 to 33.97% in 2021, with a total forest loss of 2,953.48 km2 and only 117.12 km2 of newly planted forest during this period. Broadly, forest cover in the area has been severely reduced, often due to indiscriminate logging and expansion of agricultural land on the forest edge.

Keywords: Received: December 17, 2022 | Revised: February 18, 2023 | Accepted: March 10, 2023

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Received: December 17, 2022 | Revised: February 18, 2023 | Accepted: March 10, 2023