Dataset of the attributes affecting seismic performance of a sample of buildings from San Jose, Costa Rica

The data consists of the attributes affecting seismic performance of a sample of 7,294 buildings from the San José canton in Costa Rica, Central America. Contains information about the occupancy type, number of floors, material and type of lateral load resisting system, structural regularity, floor and roof properties (following the GEM Building Taxonomy v2.0). The attributes were identified from panoramic images of the buildings when applying remote surveys by a team of trained last-year civil engineering students supervised by civil engineers from the Seismic Engineering Laboratory of the Engineering Research Institute from the University of Costa Rica (LIS-INII-UCR). The visual data were collected on October 2017 by means of the GFZ Mobile Mapping System and the remote surveys were completed on July 2019 by means of the GFZ Remote Rapid Visual Screening platform. The sample buildings were selected by a random stratified sampling with proportional allocation applied to the building population. Additional information of interest from the sample buildings, not obtained from the panoramic images, is provided. It consists of the location (coordinates), footprint area, approximate construction period of each building and its corresponding district and neighborhood (hierarchy of geographical administrative units of Costa Rica is as follows: province, canton, district and neighborhood). The approximate construction period was determined by manually analyzing aerial photographs of San José for different time periods. The main file is "sampleDB.csv", which contains all the information represented by alphabetical and alphanumerical codes that are explained and described in the files "attribute_type_descriptions.csv" and "attribute_value_descriptions.csv". The attribute types can take different attribute values, for example, for attribute type "llrs" (lateral load resisting system as described in attribute_type_descriptions file), some posible values are LWAL and LDUA (wall and dual type, respectively, as described on attribute_values_descriptions file). This data can be use to generate a high resolution building inventory to take part of an exposure model for performing seismic or multi-hazard risk assessments. It can also be used for other studies that need a general but high level description of the buildings from San José canton. The data was obtained as part of a seismic risk assessment conducted by LIS-INII-UCR , with funding from the Costa Rica Republic “Transitory 1 of the National Emergencies Law (N° 8488)” assigned to this laboratory.

本数据集收录了来自中美洲哥斯达黎加圣何塞县的7294栋建筑的抗震性能影响属性。数据集涵盖建筑使用类型、楼层数、抗侧力体系材料与类型、结构规则性、楼板与屋面属性（遵循GEM建筑分类体系v2.0（GEM Building Taxonomy v2.0））。
这些属性由哥斯达黎加大学工程研究院抗震工程实验室（LIS-INII-UCR）的土木工程专家指导，经培训的大四土木工程专业实习学生团队，通过远程遥感勘测，基于建筑全景图像识别获取。视觉数据采集于2017年10月，采用GFZ移动测绘系统（GFZ Mobile Mapping System）；远程勘测工作则于2019年7月通过GFZ远程快速视觉筛查平台（GFZ Remote Rapid Visual Screening platform）完成。
本次样本建筑采用按比例分配的分层随机抽样方法，从建筑总体中抽取得到。
数据集还提供了部分无法从全景图像中获取的样本建筑额外信息，包括建筑位置（坐标）、占地面积、近似建造年代，以及所属的区与街区（哥斯达黎加地理行政区划层级依次为：省、县、区、街区）。其中近似建造年代通过对不同时期的圣何塞航拍照片人工分析确定。
主数据文件为"sampleDB.csv"，其包含所有以字母及字母数字编码表示的信息，编码的详细说明与释义分别收录于"attribute_type_descriptions.csv"与"attribute_value_descriptions.csv"文件中。以属性类型"llrs"（对应抗侧力体系，详见"attribute_type_descriptions"文件）为例，其可选属性值包括LWAL与LDUA，分别对应墙体体系与双重体系（释义详见"attribute_values_descriptions"文件）。
本数据集可用于构建高分辨率建筑清单，作为暴露模型的组成部分，用于开展地震或多灾害风险评估研究；也可用于其他需要圣何塞县建筑通用且高精度概况的研究工作。
本数据集是LIS-INII-UCR开展抗震风险评估工作的成果之一，项目经费由哥斯达黎加共和国《国家紧急状态法（第8488号）》第1过渡条款拨付至该实验室。