Wildlife–vehicle collisions (WVC) on interurban roads in Spain (2016-2021)

CSV that contains 1.000 records of wildlife–vehicle collisions (WVC) on interurban roads in Spain between 2016 and 2021. If you are interested in the whole country dataset, please do not hesitate to <strong>contact me and I will forward it to you</strong>. Data source of each WVC record is the Spanish General Directorate of Traffic (DGT), but the dataset has been enhanced by the integration of other sources: OpenStreetMap (OSM), Global Biodiversity Information Facility (GBIF), the National Geographic Institute of Spain (IGN), State Meteorological Agency (AEMET).Therefore, each record describes an accident by the following fields: • <strong>id_num </strong>(int8): the unique identifier for an accident.<br> • <strong>ind_accda </strong>(int8): a binary variable for property damages involved or not (encoded).<br> • <strong>nombre_ind_accd </strong>(str): a statement for property damages involved or not (decoded).<br> • <strong>ind_acciv </strong>(int8): a binary variable for personal damages involved or not (encoded).<br> • <strong>nombre_ind_acciv </strong>(str): a statement for personal damages involved or not (decoded).<br> • <strong>total_mu30df </strong>(int8): the total number of deaths from the accident.<br> • <strong>total_hg30df </strong>(int8): the total number of injured with hospitalization from the accident.<br> • <strong>total_hl30df </strong>(int8): the total number of injured without hospitalization from the accident.<br> • <strong>fecha_accidente </strong>(date): the reported date of the collision, following ISO 8601 date-time standard. <br> • <strong>hora_accidente </strong>(str): the reported hour of the collision in 24-hour notation. <br> • <strong>mes_1f </strong>(int8): the month as integer of the event date (encoded).<br> • <strong>nombre_mes </strong>(str): the month name of the event date (decoded).<br> • <strong>anyo </strong>(int8): the four-digit year of the event date.<br> • <strong>ccaa_1f </strong>(int8): the autonomous region code from INE where accident is registered (encoded).<br> • <strong>nombre_ccaa </strong>(str): the name of the autonomous region where accident is registered (decoded).<br> • <strong>provincia_1f </strong>(int8): the province code from INE where the accident is registered (encoded).<br> • <strong>nombre_provincia </strong>(str): the province name where the accident is registered (decoded).<br> • <strong>cod_municipio </strong>(int8): the municipality code from INE where the accident is registered (encoded).<br> • <strong>nombre_municipio </strong>(str): the municipality name where the accident is registered (decoded).<br> • <strong>carretera </strong>(str): the road attending to the national road numbering system in Spain where the accident is located.<br> • <strong>km </strong>(float): the kilometre point of the road where the accident is located.<br> • <strong>sentido_1f </strong>(int8): the vehicle’s direction of traffic reported as integer when the accident occurred (encoded).<br> • <strong>nombre_sentido </strong>(str): the vehicle’s direction of traffic reported when the accident occurred (decoded).<br> • <strong>tipo_via_3f </strong>(int8): the type of road as integer attending to the project road classification (encoded).<br> • <strong>nombre_tipo_via </strong>(str): the type of road description attending to the project road classification (decoded).<br> • <strong>titularidad_via_2f </strong>(int8): the road ownership type as integer (encoded).<br> • <strong>nombre_titularidad_via </strong>(str): the road ownership type description (decoded).<br> • <strong>tipo_animal_1f </strong>(int8): the animal species involved in the accident as integer (encoded).<br> • <strong>nombre_tipo_animal_1f </strong>(str): the animal species name involved in the accident (decoded).<br> • <strong>tipo_animal_2f </strong>(int8): the reported animal type of breeding as integer (encoded).<br> • <strong>nombre_tipo_animal_2f </strong>(str): the type of animal breeding description (decoded).<br> • <strong>longitud </strong>(float): the length of the accident location coordinate in decimal degrees.<br> • <strong>latitud </strong>(float): the latitude of the accident location coordinate in decimal degrees.<br> • <strong>geom </strong>(geometry): geometry from latitude and longitude position. Developed for this project.<br> • <strong>dia_semana </strong>(int8): the integer day of the week when the accident occurred (encoded).<br> • <strong>nombre_dia_semana </strong>(str): the name of the day when the accident occurred (decoded).<br> • <strong>tipo_dia </strong>(str): the category name of the day type to separate weekday from weekend (decoded).<br> • <strong>parte_dia </strong>(str): the part name of the day when the accident is registered including day, night and the transitions.<br> • <strong>luna </strong>(int8): the portion of illuminated moon surface represented as an integer value from 0 to 100.<br> • <strong>prec </strong>(float): the daily rainfall measurement of the event day based on pluviometric days.<br> • <strong>tmin </strong>(float): the minimum temperature in Celsius of the event day.<br> • <strong>tmed </strong>(float): the average temperature in Celsius of the event day.<br> • <strong>tmax</strong> (float): the maximum temperature in Celsius of the event day.<br> • <strong>sol </strong>(float): the accumulated sun hours of the event day.<br> • <strong>uso_suelo </strong>(str): the main land usage of the accident area.<br> • <strong>altitud </strong>(float): the altitude in meters above sea level.<br> • <strong>pendiente </strong>(float): the slope median value of a 30 meters buffer around the accident location.<br> • <strong>taxonkey</strong> (str): a taxon key from the GBIF backbone.<br> • <strong>imd_total </strong>(float): the average daily traffic intensity of the accident year.<br> • <strong>maxspeed </strong>(int): the maximum speed of the road section where the reported collision. The context is the Final Master's Degree Project 'Analysis and Predictive Modelling of Wildlife–Vehicle Collision on Interurban Roads in Spain' (Data Science Master’s Degree of Universitat Oberta de Catalunya - UOC). This dataset is the output of the wildlife–vehicle collision analysis and the code repository is available on GitHub.