Cancer is one of the dominant causes of death in the Slovak population. Monitoring the course of the cancer death rate in Slovakia can be considered as a relevant subject for geographical research. Relatively little is known about the geographic distribution of breast and prostate cancer incidence in Slovakia. In the submitted paper, it is hypothesized that breast and prostate cancer in the examined territory are characterized by different intensities, incidences, and spatial differences. The spatial patterns of breast and prostate cancer in Slovakia were examined by means of spatial autocorrelation analyses with the Local Moran’s I and Anselin Local Moran’s statistics. Data on standardized death rates of breast and prostate cancer in Slovakia between 2001 and 2018 were used. Prostate cancer in men and breast cancer in women show a positive statistically significant Global Moran’s I, whose values indicate a tendency to cluster. The Anselin Local Moran’s I analysis indicates significant clusters of breast cancer in the western part of Slovakia, and prostate cancer clusters mostly in the central part of Slovakia. The findings we have obtained in this study may help us investigate further hypotheses regarding the causes and identification of spatial differences in breast and prostate cancer incidence. Our findings might stimulate further research into the possible causes which underlie the clusters.

Political changes in Slovakia after 1989 initiated new economic trends which significantly affected the structure of cities and rural municipalities. The process of suburbanization has changed the rural landscape with a widespread increase in new residential areas. Based on an analysis of residential suburbanization, the aim of the paper is to describe the encroachment of residential construction in the suburban zone of Nitra through increase in the size of the housing stock, number of housing types and the spatial localization of suburban construction. Such analysis of residential development contributes to the knowledge of the extent and intensity of the residential suburbanization process in the outskirts of the city of Nitra. Theoretical analysis of residential suburbanization is based on the relevant literature, placing it into context alongside the works of authors from Western and Central Europe. The research is based on standard geographical methods including field research. To compare the changes in residential areas aerial photos from 2001 and 2015 were used. Results show that in the municipalities of the suburban zone significant changes have occurred in the building sprawl, thus changing the face of rural municipalities and the character of the rural landscape.

The pandemic situation of COVID-19, which affected almost the entire civilized world with its consequences, offered a unique opportunity for analysis of geographical space. In a relatively short period of time, the COVID-19 pandemic became a truly global event with consequences affecting all areas of life. Circumstances with COVID-19, which affected the territory of Slovakia and its regions, represent a sufficient premise for analysis three years after the registration of the first case in Slovakia. The study presents the results of a detailed spatiotemporal analysis of the course of registered cases of COVID-19 in six periods in Slovakia. The aim of the paper was to analyze the development of the number of people infected with the disease COVID-19 in Slovakia. At the level of the districts of Slovakia, using spatial autocorrelation, we identified spatial differences in the disease of COVID-19. Moran’s global autocorrelation index and Moran’s local index were used in the synthesis of knowledge. Spatial analysis of data on the number of infected in the form of spatial autocorrelation analysis was used as a practical sustainable approach to localizing statistically significant areas with high and low positivity. This manifested itself in the monitored area mainly in the form of positive spatial autocorrelation. The selection of data and methods used in this study together with the achieved and presented results can serve as a suitable tool to support decisions in further measures for the future.

The coronavirus became a phenomenon in 2020, which is making an unwanted but wide space for the study of various scientific disciplines. The COVID-19 pandemic situation which has reached almost the whole civilized world by its consequences thus offers a unique possibility to analyze the graphic space and the human activities inside it. The aim of this study is to predict and identify the potential rate of threat on the example of COVID-19 in Slovakia through an established model. This model consisted of an assessment of the partial phenomena of exposure, vulnerability, and overall risk. The statistical data used to evaluate these phenomena concerned individual cities in Slovakia. These represent the smallest administrative unit. Indirect methods based on the point method were applied in the paper. The spreading and transfer of the disease was influenced much more by the exposure presented by traffic availability, especially, but also the concentration of inhabitants in the selected locations (shops, cemeteries, and others). In the results, our modeling confirmed the regions with the highest intensity, especially in the districts (Bratislava, Košice, Prešov, and Nitra). The selection of the data and method used in this study together with the results reached and presented may serve as an appropriate tool for the support of decision-making of other measures for the future.

Spatial changes in the structure of crop production have the potential to impact economics and food security in Slovakia. The objective of this study was to analyze the modification of harvested areas, the production and yields of selected crops—cereals, oilseeds, and perennial forages—and their food and non-food use from 2004 to 2020. The results indicated that an increase in the cultivation of large-scale crops (cereals and oilseeds) has occurred at the expense of crops produced for food. Changes in the structure of plant production indicate negative risk factor that reduce the competitiveness of the agricultural sector and threaten Slovakia’s food security. Moran’s global and Moran’s local autocorrelation index were used in the synthesis of the findings. A spatial autocorrelation analysis of the harvest areas of selected crops was used as a practical approach to locate statistically significant areas with high or low crop harvest. This manifested itself as positive spatial autocorrelation.

Coping with the prevention, diagnosis and therapy of cancers is a challenging medical task with continuing consequences for the development of population health status and economy of health in each country. The occurrence of cancers shows an upward trend in the world. A comprehensive fight against cancers should involve the spatial aspect which is best applied in the field of medical geography. The key indicators for the surveillance of cancers include mortality and incidence, but also prevalence. Incidence plays a more and more important role in the period of an increase in cancers. In the investigation of this issue specific analytical methods were used, such as spatial autocorrelation. Standardized cancer incidence in Slovakia was analyzed in the case of men and women. The years 1997, 2009 and the period 1997–2009 were chosen to compare the incidence. The results of partial analyses show the situation in districts of Slovakia from the perspective of incidence development and its spatial differentiation.