LID框架：一种新的方法，用于潜在创新决定因素的地理空间和探索性数据分析，以邻里层面为单位
LID Framework: A new method for geospatial and exploratory data analysis of potential innovation deter-minants at the neighborhood level
AI总结：
本文提出LID框架，通过整合传统政府数据与公开数据，分析邻里层面的创新决定因素，利用大数据和随机森林模型探讨社会、经济、土地利用、形态和环境四个维度，揭示创新动态的潜在影响因素。
摘要：
创新的地理学提供了一个框架，用以理解地域特征如何塑造创新，通常通过空间和认知接近性来实现。实证研究主要集中在国家和区域层面，而城市和次区域地理则受到较少关注。本地研究通常依赖于有限的指标（例如企业层面数据、专利、基本经济社会指标），很少有研究提供一个系统框架，将城市形态、流动性、便利设施和人力资本代理在邻里层面整合起来。我们的研究在更精细的空间分辨率上研究创新，超越了专有或静态指标。我们开发了本地创新决定因素（LID）数据库和框架，以识别各地区的关键促进因素，结合传统政府数据与通过API公开可用的数据，以更细致地理解塑造创新能力的空间动态。使用探索性大数据和地理空间数据分析以及随机森林模型，我们检查了纽约和马萨诸塞州四个维度下的邻里：社会因素、经济特征、土地利用和流动性、形态和环境。结果显示，替代数据来源提供了显著但尚未被充分探索的潜力，以增强对创新动态的理解。城市政策制定者在设计和实施本地创新战略时应考虑邻里特定的决定因素和特征。
英文摘要：
The geography of innovation offers a framework to understand how territorial characteristics shape innovation, often via spatial and cognitive proximity. Empirical research has focused largely on national and regional scales, while urban and sub-regional geographies receive less attention. Local studies typically rely on limited indicators (e.g., firm-level data, patents, basic socioeconomic measures), with few offering a systematic framework integrating urban form, mobility, amenities, and human-capital proxies at the neighborhood scale. Our study investigates innovation at a finer spatial resolution, going beyond proprietary or static indicators. We develop the Local Innovation Determinants (LID) database and framework to identify key enabling factors across regions, combining traditional government data with publicly available data via APIs for a more granular understanding of spatial dynamics shaping innovation capacity. Using exploratory big and geospatial data analytics and random forest models, we examine neighborhoods in New York and Massachusetts across four dimensions: social factors, economic characteristics, land use and mobility, morphology, and environment. Results show that alternative data sources offer significant yet underexplored potential to enhance insights into innovation dynamics. City policymakers should consider neighborhood-specific determinants and characteristics when designing and implementing local innovation strategies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
