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Web applications enable quick visualization of various types of spatial data on the territory of Bratislava, eventually the whole country. They can include different types of data, which describe spatial phenomena in the form of points, lines or planes, for example, the share of inhabitants in a grid or the number of housing units. To ensure clarity, spatial data can be visualised on a number of different basemaps. The main characteristics of such application are openness, timeliness, user-friendliness and interpretive clarity.
Recommended Bratislava map applications
Number of Violations in Bratislava in 2020 (January - September)
Number of employed inhabitants in the given location of Bratislava (1x1km) - Census of Population, Housing and Dwellings 2011
Number of inhabitants in the given location of Bratislava, according to their highest achieved level of education - Census of Population, Housing and Dwellings 2011.
Estimated number of dwellings in apartment and family houses in Bratislava (grid 250x250m)
Estimated number of dwellings in apartment and family houses in Bratislava (grid 1x1km)
Share of number of permanent population in Bratislava by sex and age group (grid 250x250m)
Recent Bratislava map applications
The application displays the number of violations in the city of Bratislava according to the streets where the violations was committed. After clicking on the selected street, the number of committed violations will be displayed. Violations are listed by default according to groups and types of violations. In the application you will find violations divided by " Road safety and traffic flow" and "except Road safety and traffic flow". Data are processed for the year 2020 (January-September). Source: Municipal Police of the Capital of the Slovak Republic, Bratislava You can find more information directly in the application.
Visualization displays data on the number of economically active and economically inactive inhabitants in the given location of Bratislava. The source of data is the Statistical Office of the Slovak Republic - Census of Population, Housing and Dwellings 2011. Data current as of 21.05.2011.
Visualization displays data on the number of employed inhabitants in the given location of Bratislava. The source of data is the Statistical Office of the Slovak Republic - Census of Population, Housing and Dwellings 2011. Data current as of 21.05.2011
Number of inhabitants in the given location of Bratislava, according to their highest achieved level of education - Census of Population, Housing and Dwellings 2011.
Visualization displays data on the number of inhabitants in the given location of Bratislava, according to their economic status, age and gender. The source of data is the Statistical Office of the Slovak Republic - Census of Population, Housing and Dwellings 2011. Data current as of 21.05.2011
Spatial distribution of the population is normally expressed using discrete objects (boundaries of administrative or statistical territorial units) to which data on the number of residents are aggregated. However, this way of presentation is often insufficient for analytical purposes. The main drawbacks include the omission of natural conditions and possible modification of borders, which can statistically significantly affect the results of spatial data analyses. Since the distribution of residential households and knowledge about their spatial differentiation is needed for many areas of human activity (traffic planning, land use planning), the City of Bratislava created, for the first time, a raster visualisation of the number of dwellings, using a dataset containing grids for each individual EU country. Grid with the size of 1km x 1km has been used for Bratislava. Within the visualization, (estimated) data on the number of dwellings in apartment and family houses is shown. The number of dwellings in a family house is estimated as 1, as more specific information is not available in the source data. The source of the data for estimation is the Geodesy, Cartography and Cadastre Authority of the Slovak Republic.
Spatial distribution of the population is normally expressed using discrete objects (boundaries of administrative or statistical territorial units) to which data on the number of residents are aggregated. However, this way of presentation is often insufficient for analytical purposes. The main drawbacks include the omission of natural conditions and possible modification of borders, which can statistically significantly affect the results of spatial data analyses. Since the distribution of residential households and knowledge about their spatial differentiation is needed for many areas of human activity (traffic planning, land use planning), the City of Bratislava created, for the first time, a raster visualisation of the number of dwellings, using a dataset containing grids for each individual EU country. Grid with the size of 1km x 1km has been used for Bratislava. Within the visualization, (estimated) data on the number of dwellings in apartment and family houses is shown. The number of dwellings in a family house is estimated as 1, as more specific information is not available in the source data. The source of the data for estimation is the Geodesy, Cartography and Cadastre Authority of the Slovak Republic.
Spatial distribution of the population is normally processed by discrete objects (boundaries of administrative or statistical territorial units) to which data on number of population are aggregated. However, this way of presentation is often insufficient for analytical purposes. The main drawbacks include the omission of natural conditions and possible modification of borders, which can statistically significantly affect results of spatial data analyses. Since the distribution of the population is one of the basic socio-economic variables, and knowledge of its spatial differentiation is needed for many areas of human activity, the Statistical Office of the Slovak Republic created, for the first time, a raster database of the numbers of population by basic demographic structures (gender, age), using a dataset of networks containing grids for each individual EU country. For Bratislava dataset with size of 250x250 m has been used. Within visualization data (estimation) of permanent population of Bratislava by economic age groups and sex are visualized. Source of data for estimation is Ministry of interior of the Slovak republic. Shares are processed as share in every single age group on overall permanent population in grid. Within data processing, grids with small number of population has been anonymized.
Spatial distribution of the population is normally expressed using discrete objects (boundaries of administrative or statistical territorial units) to which data on the number of residents are aggregated. However, this way of presentation is often insufficient for analytical purposes. The main drawbacks include the omission of natural conditions and possible modification of borders, which can statistically significantly affect the results of spatial data analyses. Since population distribution is one of the basic socio-economic variables, and knowledge of its spatial differentiation is needed for many areas of human activity, the City of Bratislava created, for the first time, a raster visualisation of the number of residents by basic demographic structures (gender, age), using a dataset containing grids for each individual EU country. Grid with the size of 1km x 1km has been used for Bratislava. Within the visualization, (estimated) data on population with a permanent residency of Bratislava by economic age groups and sex is shown. The source of the data for estimation is the Ministry of Interior of the Slovak republic.
MESH model 2019 is a three-dimensional orthophotomap. However, instead of square pixels as in a classic raster orthophotomap, it consists of a network of polygons that create a 3D surface of objects. This results in orders of magnitude higher requirements for data capacities than in classical orthophotomaps and the subsequent geometric imperfection of the MESH model. Like the classic orthophotomap in 2D, the MESH model is a fundamental basis for 3D and 4D spatial information systems.
A three-dimensional model of buildings represents a spatial model of the built environment. The City of Bratislava currently has a series of 3D models showing the condition of buildings from previous years, with the latest model reaching LOD level 3 (LOD - level of detail). The 3D model of buildings is used in various areas, from different urban tasks to creating a noise map and designing measures for eliminating noise.
A digital terrain model is a model of the earth's surface that does not contain information about any objects. It is widely used, for example as a basis for designing measures to eliminate the effects of floods from heavy rains or identifying the most suitable areas for insect spraying.
Three-dimensional intelligent digital models are crucial for efficiency in today's world, enabling better collaboration in a multidisciplinary world and thus leading to faster and better decisions. One of the main reasons is that 3D models capture objects from all sides. Compared to classic maps, 3D maps bring one extra dimension, which facilitates the orientation of users in the map data.
3D model of buildings in Bratislava
A three-dimensional model of buildings represents a spatial model of the built environment. The City of Bratislava currently has a series of 3D models showing the condition of buildings from previous years, with the latest model reaching LOD level 3 (LOD - level of detail). The 3D model of buildings is used in various areas, from different urban tasks to creating a noise map and designing measures for eliminating noise.
3D terrain model of Bratislava
A digital terrain model is a model of the earth's surface that does not contain information about any objects. It is widely used, for example as a basis for designing measures to eliminate the effects of floods from heavy rains or identifying the most suitable areas for insect spraying.
MESH model of Bratislava 2019
MESH model 2019 is a three-dimensional orthophotomap. However, instead of square pixels as in a classic raster orthophotomap, it consists of a network of polygons that create a 3D surface of objects. This results in orders of magnitude higher requirements for data capacities than in classical orthophotomaps and the subsequent geometric imperfection of the MESH model. Like the classic orthophotomap in 2D, the MESH model is a fundamental basis for 3D and 4D spatial information systems.
Newest datasets
Newest PowerBI
Newest MapsBA
Open data are information or data freely available for everyone under equal conditions, which can be used for any purpose, commercial or noncommercial. They are available on the internet in structured form, which allows machine processing. The aim of the portal www.opendata.bratislva.sk is to support open data of Bratislava City.
