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In the context of the pandemic condition caused by the coronavirus Covid 19, it is obvious that economic sectors dependent on movement of goods and people between regions will be less economically productive. Undoubtedly it is tourist industry (TI). Partial compensation of impacts and risks is practicable by appropriate tools, in this context it is client relationship management (CRM). Basic TI services are related to a destination which is a geospatial factor determining supply and demand. Destination isn´t isolated entity, it is dependent on environment (between other and administrative). Data processing is always related to a territorial unit which is characterized, between others, relevant infrastructure which is needed for provision of services. One characteristic of infrastructure is relation between elements of infrastructure, which can be defined as interdependence of elements, e.g. spatial. The aim of the contribution is to demonstrate the geospatial relationship between selected elements of supply and demand in the TI given accommodation capacities and the number of overnight stays. Defaults data are evaluated by geospatial analysis methods, especially precedent analysis showing changes of values between XXIII. mezinárodní kolokvium o regionálních vědách. Sborník příspěvků 337 elements analyzed on the infrastructure. Infrastructure is based on administrative division of Czech Republic, basic data are divide into districts and modified to regions by minimum distances. Infrastructure is generated by passage of autonomous agents. The results of the work demonstrate spatial dependencies and indicate the need to examine the relationships between quantities based on the gradient of quantities in the space, which is evident, for example, on the behavior of the average number of overnight stays between the districts of Brno city and Brno countryside.