In this study, using the methods of spatial autocorrelation in geographic information systems (GIS), an analysis of the spatial distribution of mortality rates in Bosnia and Herzegovina was performed in order to identify high-risk areas with increased mortality and depopulation. Spatial analysis is based on the calculation of global (Global Moran’s I and Getis-Ord General G) and local (Anselin Local Moran’s I and Getis-Ord Gi*) statistical indices of spatial autocorrelation. The values of global statistical indices confirmed a clustering of high mortality values, while local statistical indices confirmed high mortality rates in the municipalities of northwestern and eastern Bosnia and Herzegovina. Conducted research provides an insight into spatial patterns of demographic processes, while results obtained by this research are significant for demographic development and future spatial demographic research in Bosnia and Herzegovina.

The focus of this study is a spatial analysis of the industry distribution and concentration, on the example of municipality of Tesanj (Bosnia and Herzegovina), based on the application of GIS methods. Municipality of Tesanj is one of the most developed municipalities in Bosnia and Herzegovina, while Tesanj?s industry significantly contributes to the economic development of this country. GIS analysis of industry was based on the field work, locating and georeferencing industrial companies, acquisition, adaptation, adjustment and validation of digital surface models and google satellite imagery, mapping of relief, hydrography and transport network. With the aim of geovisualization of spatial distribution of industry, spatial descriptive statistics and non-parametric density estimation analysis (Kernel Density Estimation) were performed. In order to determine the distribution of industry in relation to relief (elevation, slope, and aspect), hydrography and transport network, GIS techniques of reclassification, vectorization, count point in polygons, buffer and clip geoprocessing tools were used. Conducted research provided a new insight into the data mining and visualization based on principles of QGIS, the effects of geographic factors on industry distribution, and confirmed the importance of relief, hydrographic and transport network on the concentration of industry in municipality Tesanj.

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.