DOI: 10.6084/m9.figshare.22009643.v1
title: HISDAC-ES: Historical Settlement Data Compilation for Spain (1900-2020)

description: The historical settlement data compilation for Spain (HISDAC-ES) is a geospatial dataset consisting of over 240 gridded surfaces measuring the physical, functional, age-related, and evolutionary characteristics of the Spanish building stock. We scraped, harmonized, and aggregated cadastral building footprint data for Spain, covering over 12,000,000 building footprints including construction year attributes, to create a multi-faceted series of gridded surfaces (GeoTIFF format), describing the evolution of human settlements in Spain from 1900 to 2020, at 100m spatial and 5 years temporal resolution. Also, the dataset contains aggregated characteristics and completeness statistics at the municipality level, in CSV and GeoPackage format. File descriptions: Datasets are available in three spatial reference systems: <strong>HISDAC-ES_All_LAEA.zip: </strong>Raster data in Lambert Azimuthal Equal Area (LAEA) covering all Spanish territory. <strong>HISDAC-ES_IbericPeninsula_UTM30.zip: </strong>Raster data in UTM Zone 30N covering all the Iberic Peninsula + Céuta and Melilla. <strong>HISDAC-ES_CanaryIslands_REGCAN.zip: </strong>Raster data in REGCAN-95, covering the Canary Islands only. <strong>HISDAC-ES_MunicipAggregates.zip:</strong> Municipality-level aggregates and completeness statistics (CSV, GeoPackage), in LAEA projection. Source data: HISDAC-ES is derived from cadastral building footprint data, available from different authorities in Spain: Araba province: https://geo.araba.eus/WFS_Katastroa?SERVICE=WFS&VERSION=1.1.0&REQUEST=GetCapabilities Bizkaia province: https://web.bizkaia.eus/es/inspirebizkaia Gipuzkoa province: https://b5m.gipuzkoa.eus/web5000/es/utilidades/inspire/edificios/ Navarra region: https://inspire.navarra.es/services/BU/wfs Other regions: http://www.catastro.minhap.es/INSPIRE/buildings/ES.SDGC.bu.atom.xml Data source of municipality polygons: Centro Nacional de Información Geográfica (https://centrodedescargas.cnig.es/CentroDescargas/index.jsp) Technical notes: Gridded data File nomenclature: <em>./region_projection_theme/hisdac_es_theme_variable_version_resolution[m][_year].tif</em> Regions: <strong>all: </strong>complete territory of Spain <strong>can: </strong>Canarian Islands only <strong>ibe: </strong>Iberic peninsula + Céuta + Melilla Projections: <strong>laea:</strong> Lambert azimuthal equal area (EPSG:3035) <strong>regcan:</strong> REGCAN95 / UTM zone 28N (EPSG:4083) <strong>utm: </strong>ETRS89 / UTM zone 30N (EPSG:25830) Themes: <strong>evolution / evol: </strong>multi-temporal physical measurements <strong>landuse:</strong> multi-temporal building counts per land use (i.e., building function) class <strong>physical / phys: </strong>physical building characteristics in 2020 <strong>temporal / temp: </strong>temporal characteristics (construction year statistics) Variables: evolution <strong>budens:</strong> building density (count per grid cell area) <strong>bufa:</strong> building footprint area <strong>deva:</strong> developed area (any grid cell containing at least one building) Variables: physical <strong>bia:</strong> building indoor area <strong>bufa: </strong>building footprint area <strong>bunits:</strong> number of building units <strong>dwel: </strong>number of dwellings Variables: temporal <strong>mincoy:</strong> minimum construction year per grid cell <strong>maxcoy: </strong>minimum construction year per grid cell <strong>meancoy:</strong> mean construction year per grid cell <strong>medcoy:</strong> median construction year per grid cell <strong>modecoy:</strong> mode (most frequent) construction year per grid cell <strong>varcoy: </strong>variety of construction years per grid cell Variable: landuse Counts of buildings per grid cell and land use type. Municipality-level data <strong>hisdac_es_municipality_stats_multitemporal_longform_v1.csv: </strong>This CSV file contains the zonal sums of the gridded surfaces (e.g., number of buildings per year and municipality) in long form. Note that a value of 0 for the year attribute denotes the statistics for records without construction year information. <strong>hisdac_es_municipality_stats_multitemporal_wideform_v1.csv: </strong>This CSV file contains the zonal sums of the gridded surfaces (e.g., number of buildings per year and municipality) in wide form. Note that a value of 0 for the year suffix denotes the statistics for records without construction year information. <strong>hisdac_es_municipality_stats_completeness_v1.csv: </strong>This CSV file contains the missingness rates (in %) of the building attribute per municipality, ranging from 0.0 (attribute exists for all buildings) to 100.0 (attribute exists for none of the buildings) in a given municipality. Column names for the completeness statistics tables: <strong>lau_code: </strong>LAU code of the municipality <strong>ccaa_code:</strong> code of the region (comunidad autónoma) <strong>num_total: </strong>number of buildings per munic <strong>perc_bymiss: </strong>Percentage of buildings with missing built year (construction year) <strong>perc_lumiss:</strong> Percentage of buildings with missing landuse attribute <strong>perc_luother: </strong>Percentage of buildings with landuse type "other" <strong>perc_num_floors_miss:</strong> Percentage of buildings without valid number of floors attribute <strong>perc_num_dwel_miss: </strong>Percentage of buildings without valid number of dwellings attribute <strong>perc_num_bunits_miss: </strong>Percentage of buildings without valid number of building units attribute <strong>perc_offi_area_miss: </strong>Percentage of buildings without valid official area (building indoor area, BIA) attribute <strong>perc_num_dwel_and_num_bunits_miss:</strong> Percentage of buildings missing both number of dwellings and number of building units attribute The same statistics are available as geopackage file including municipality polygons in Lambert azimuthal equal area (EPSG:3035).