The accelerating processes of globalization and modernization have imposed unprecedented anthropogenic pressures on the cultural diversity of historic districts, leading to the physical degradation of historical heritage and the fragmentation of cultural transmission chains. To address this challenge, this study establishes an innovative spatial-gene theoretical framework that seeks to balance heritage protection with urban development by integrating landscape characteristics and cultural connotations, thereby enhancing the conservation of cultural diversity in historic districts. Focusing on the historic Small Wild Goose Pagoda district as a case study, we developed a comprehensive methodology integrating field research, historical induction, spatial analysis, and place-making. Through this operational framework, we systematically identified four constitutive spatial genes: the mountain–water pattern, the urban-axis, the li-fang, and the architectural courtyard. These genetic elements inform a dual-regeneration strategy that promotes synergy and dialogue between old and new: (1) place-making guided by historical morphological grammar rules and (2) activity organization that reconfigures the value system of “openness and inclusiveness”. This research not only advances spatial-gene theory but also provides a replicable model for regenerating historic districts oriented toward cultural diversity, effectively combining historical authenticity with contemporary functionality to promote sustainable urban development.

In the digital era, data collaboration constitutes a critical trend in urban planning and design. It is of paramount importance in addressing contemporary issues related to the misinterpretation, misapplication, and misunderstanding of spatial genes, as well as facilitating data sharing and value creation associated with spatial genes. In this paper, targeting the complex problems of multiple entities and threads in spatial gene research and practice through, initially, a literature review, the correlation process between urban planning and data collaboration is examined, the spatial gene concept and the background of its proposal are expounded, and the challenges confronted in spatial-gene data collaboration are analyzed. Then, with an elaboration of the data value chain concept, a data collaboration framework for spatial-gene research and practice is constructed, specifically encompassing three main links: convergence, mining, and application. Finally, from the three aspects of data collection and storage, data analysis and processing, and data circulation and sharing, technical implementation paths and suggestions are put forward. We firmly contend that through the establishment of the framework, it is anticipated to promote data collaboration among multiple entities, enhance the efficiency and scientificity of urban design, and thereby facilitate the preservation of cultural diversity and the sustainable development of cities.