Dataset from publication "Predicting context-sensitive urban green space quality to support urban green infrastructure planning"

Data Description: This dataset presents the spatial outcome of an analysis modelling perceived green space quality across the city of Espoo, Finland. The analysis relies on data gathered through the My Espoo on the Map survey (Mun Espoo kartalla) in the autumn of 2020 as part of the NordForsk-funded research project NORDGREEN. A comprehensive account of the analytical process and potential applications of the dataset is available in the associated publication, "Predicting context-sensitive urban green space quality to support urban green infrastructure planning" (open access: https://doi.org/10.1016/j.landurbplan.2023.104952). Data Processing: This dataset results from an analysis that integrates both primary and secondary sources of geospatial data. The primary data were collected with an online public participation GIS (PPGIS) survey directed for the adult inhabitants of Espoo. The data collection took place in September-October 2020 and was executed in collaboration with Aalto University and the City of Espoo. For a detailed overview of the data collection process, please refer to the related publication. Data characteristics: Format: Shapefile (50m x 50m grid) Geographical area: Espoo, Finland Spatial reference: EUREF FIN TM35FIN Note: Only grid cells intersecting with greenspace have been included in the dataset. For the employed definition of green areas, please consult the related publication. Data attributes and their descriptions: "P_PROB": Probability (P), positive perceived quality "N_PROB": Probability (P), negative perceived quality Funding: This research was funded by NordForsk, Sustainable Urban Development and Smart Cities Programme, Project Smart Planning for Healthy and Green and Nordic Cities – NORDGREEN, under Grant Number: 95322.数据说明： 本数据集呈现了芬兰埃斯波市全域感知绿地质量建模分析的空间分析结果。本次分析依托2020年秋季通过"我的埃斯波地图"（My Espoo on the Map，芬兰语原名Mun Espoo kartalla）调查采集的数据，该调查隶属于北欧科研基金会（NordForsk）资助的NORDGREEN研究项目。本数据集的分析流程与潜在应用的详细说明，可参阅关联学术论文《面向城市绿地基础设施规划的情境敏感型城市绿地质量预测》（开放获取链接：https://doi.org/10.1016/j.landurbplan.2023.104952）。 数据处理： 本数据集源于整合了一手与二手地理空间数据源的分析工作。一手数据通过面向埃斯波市成年居民的在线公众参与地理信息系统（Public Participation GIS, PPGIS）调查采集，数据采集工作于2020年9月至10月开展，由阿尔托大学与埃斯波市合作完成。有关数据采集流程的详细说明，请参阅关联学术论文。 数据特征： 数据格式：Shapefile格式（50米×50米网格） 地理覆盖范围：芬兰埃斯波市 空间参考系：EUREF FIN TM35FIN 备注：本数据集仅纳入与绿地相交的网格单元。有关本数据集采用的绿地定义，请参阅关联学术论文。 数据属性及说明： "P_PROB"：感知绿地质量为正向的概率（P） "N_PROB"：感知绿地质量为负向的概率（P） 资助信息： 本研究由北欧科研基金会（NordForsk）可持续城市发展与智慧城市计划下的"健康绿色北欧城市智能规划——NORDGREEN"项目资助，项目编号：95322。