2025
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federalThemes
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This web service allows viewing the territorial divisions that represent fully recognised Belgian geographical units. The AdminVector dataset encompasses the statistical sectors defined by the FPS Economy, the administrative units maintained by the FPS Finance and their centres, as well as the boundary stones. The datasets of the judicial cantons and judicial districts are built on the basis of their definition in the Judicial Code. The dataset of electoral cantons is built on the basis of its definition in the Electoral Code. The postal cantons dataset is based on the boundaries of the Belgian postal codes managed by bpost.
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This web service allows viewing the dataset BeStAddress.
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This dataset contains a matrix of distances between all Belgian municipality centres as defined in the AdminVector product. The distance is in km and is rounded to an integer.
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This dataset corresponds to the dataset of address points on the Belgian territory. The result is obtained by merging the three regions on the basis of XML files which has been supplied to BOSA for the cooperation agreement BeStAddress. The dataset is freely downloadable.
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Points Of Interest - Infrastructures interest contains point elements indicating the location of a infrastructure, such as a container depot, incinerator, brunnel (bridges and tunnels), rail traffic, subway access, subway and tram stops, heli- and airport, control tower, light mast, lighthouse, water tower, flashing-lamp, breakwater, harbour area, marina, ship lift, dock, embankment, sluice, stilt structure and water point in Belgium.
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Points Of Interest - Natural elements contains point elements relating to nature, namely remarkable trees and underground cavities in Belgium.
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This dataset contains a set of Points Of Interest (POI) indicating the location of places of interest in Belgium, collected by NGI. The dataset consists of 97 POI types grouped into 6 classes (natural elements, cult elements, patrimonial elements, elements of general interest, infrastructures, economy). POI types that have a link with the NGI topographic reference data are systematically monitored to ensure consistency between these data. But for other POI types, there is no guarantee of completeness and correctness. These are updated ad hoc when an error or incompleteness is noticed.
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Points Of Interest - Economy interest contains point elements indicating the location of an economic activity, such as a brewery, wholesale market, (commercial, industrial) building, cooling tower, gas processing/disposal, slagheap, telecommunications, wind turbine, solar panel park in Belgium.
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CartoWeb.be is a Web Service (WMTS/WMS) containing cartographic representations covering 11 scale levels. CartoWeb.be offers a cartographic representation which has been developed specifically for on-screen viewing of the NGI’s most recent vector data sets. Three versions are available for the Belgian territory: 1) a TOPO layer containing a cartographic representation at all scales; 2) a TOPO-GREY layer, which is the symbolisation in different shades of grey and blue of the TOPO layer. It constitutes an ideal map background; 3) an OVERLAY (1:2 500 - 1:25 000) layer destined to be used as an overlay on other data (orthophotographs for instance). This layer contains the symbolisation of a few layers only. Two other layers, CROSSBORDER and CROSSBORDER-GREY, are available in order to allow viewing (only on the smallest scales 1:100 000 – 1:4 000 000) the European context of Belgium. The extent of this representation is limited and could change in the following versions. It is best to combine the CROSSBORDER layer with the TOPO layer. It is best to combine the CROSSBORDER-GREY layer with the TOPO-GREY-layer.
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The national wastewater-based epidemiological surveillance of SARS-CoV-2 monitors the SARS-CoV-2 presence in several wastewater treatment plants across Belgium. This AtomFeed download service contains the results per treatment plant since the beginning of the surveillance in September 2020. The results consist in the SARS-CoV2 concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and their covering populations.