dataset
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INSPIRE themes
federalThemes
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The average household size of private households by administrative unit (region, province, district and municipality) for Wallonia.
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The eTOD digital terrain model (DTM) is a homogeneous and regular point grid that models the height of the ground level for Belgian territory and the height of the sea level in the maritime zone. The primary source is the NGI DTM 5m, which is itself compiled based on the most recent altimetry data of the three Belgian regions and is periodically updated per map sheet at a scale of 1:50,000 using recent stereoscopic aerial images. Where available, updates from the notification platform for aviation obstacles and terrain changes are also integrated. For this DTM, the resolution (1 arcsecond) and the coordinate reference system (WGS84 + EGM2008) are used as defined in the eTOD specifications.
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Summer and winter mean wind speed given in m/s. The wind speed fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
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Annual and seasonal precipitation indices given in number of days: 1/ Wet days: Number of days with precipitation > 0.1 mm/day for winter, autumn, spring, summer; 2/ Dry days: Number of days with precipitation < 0.1 mm/day for winter, autumn, spring, summer; 3/ Average length of dry spells: Mean duration of minimum three consecutive days with precipitation < 0.1 mm/day; 4/ Maximum length of dry spells: Longest period of minimum three consecutive days with precipitation < 0.1 mm/day, occurring once in 20 years. The precipitation indices are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th, and 5th or 95th percentiles of the change factors.
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Characteristics of the cadastral parcels - Rights of real estate companies corresponds to the dataset describing the legal persons holding real rights on the parcels such as recorded by the FPS Finance for registration purposes. This dataset is composed of seven classes. The first class shows, at the national level, for each cadastral nature and for each type of real right, the number of parcels, their total cadastral income, as well as for each category of economic activity, the number of parcels on which real estate companies hold the concerned real rights (i.e. the companies of L class from NACE classification). The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.
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Annual and seasonal precipitation indices given in number of days: 1/ Wet days: Number of days with precipitation > 0.1 mm/day for winter, autumn, spring, summer; 2/ Dry days: Number of days with precipitation < 0.1 mm/day for winter, autumn, spring, summer; 3/ Average length of dry spells: Mean duration of minimum three consecutive days with precipitation < 0.1 mm/day; 4/ Maximum length of dry spells: Longest period of minimum three consecutive days with precipitation < 0.1 mm/day, occurring once in 20 years. The precipitation indices are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
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Share of the cadastral surface area that is not artificially developed in the cadastral and not unknown surface area to the administrative entity (region, province, district and municipality) for Wallonia
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The Royal Observatory of Belgium maintains several continuously observing GNSS tracking stations in Belgium. The stations are also belonging to EUREF Permanent Network (EPN) used to maintain the ETRS89 and the observation data are available to the public through https://doi.org/10.24414/FST8-P256.
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Annual, seasonal and monthly precipitation amounts given in respectively mm/year, mm/3 months and mm/month. The precipitation amounts are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding to respectively the 50th, and 5th or 95th percentiles of the change factors.
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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.
geo.be Metadata Catalog