Landscape Planning and Management Methods of Beautiful Rural Pastoral Complexes under the Background of Big Data

Abstract

With the continuous acceleration of the urbanization process, rural areas have gradually put forward construction plans for new rural forms. Pastoral complex is a construction mode of characteristic townships and rural complexes, which has become a new form of social development today. Pastoral complexes provide a new model of new rural construction, and its development is still in the preliminary stage for China. The construction of pastoral complexes involves rural landscape planning, economic management, etc. It is difficult for rural managers to process these complex data characteristics. Big data technology is affecting people’s lives, and the discipline of landscape architecture is also deeply affected by big data. This paper mainly uses data mining technology and neural network method to carry out feature mining and prediction on the landscape planning and management methods of beautiful rural pastoral complexes. In this paper, a data mining algorithm is used to classify the landscape types and locations of rural complex, and the neural network method is used to predict the landscape characteristics. The results show that the methods of data mining and neural network are feasible and reliable both in the proportion of classification and in the prediction of landscape planning. The maximum error of the prediction of landscape design is 2.87%, and the minimum error is only 0.79% using the neural network method, which is an acceptable error range.

Using Social Media Data to Research the Impact of Campus Green Spaces on Students’ Emotions: A Case Study of Nanjing Campuses

“…As the application of big data technology in sustainable urban development is becoming increasingly mature, scholars continue to conduct research in the fields of urban planning, transportation management, and smart tourism [14][15][16][17][18][19][20][21][22]. In recent years, as a hotspot in the discipline of urban planning, planning methods based on big data technology have yielded many research results both at home and abroad [23][24][25]; however, their research and practical application in green spaces have just begun. Existing research shows that with the improvement in big data-mining technology and an increase in access channels, multi-source big data present a powerful aid to the development of green spaces [26,27], and social media data (SMD) research [28] has now become one of the most popular forms of data in green space research.…”