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.
This article presents an in-depth study and analysis of the construction of a convolutional neural network model and multidimensional visualization system of old urban space and proposes the design of a multifaceted visualization reconstruction system of old urban space based on a neural network. It also quantitatively analyzes the essential spatial attribute characteristics of urban shadow areas as nodes of the overall urban dynamic network in three dimensions—spatial connection strength, spatial connection distance, and spatial connection direction—summarizes the characteristics of urban old spatial structure from the perspective of a dynamic network, and then proposes the model of urban old spatial design from the perspective of an active network. The shallow depth of the network structure is used to reduce the parameters in the learning process of reconfigurable convolutional neural networks using data sets so that the model learns more general features. For the situation where the number of data sets is small, data augmentation is used to expand the size of the data sets and improve the recognition accuracy of the reconfigurable convolutional neural network. A real-time update method of multifaceted data visualization for big data scenarios is proposed and implemented to reduce the network load and network latency caused by charts of multidimensional data changes, reduce the data error rate, and maintain the system stability in the old urban space concurrency scenario.
This paper presents an in-depth study and analysis of the spatial distribution of urban landscapes in Jiangnan cities under the influence of geomorphology and extracts the characteristics to explore the construction mechanism from the perspective of spatial functionality based on the analysis of the process and content of landscape construction. The construction of cities and ponds originated from political influence, environmental constraints, and architectural techniques; the landscape pattern of the combined shape and complementary potential originated from the creation of various types of gardens in various dynasties; the complementary planning of landscape, the traffic creation of the plain and water network, and the production factors of agriculture and sanitation influenced the construction of the countryside landscape; the traditional view of feng shui, poetry and painting, the eight scenes of the city and countryside, and other humanistic intentions influenced the overall situation of the town and the landscape. This paper extracts and analyzes the spatial distribution characteristics of Jiangnan city landscape from several perspectives, and the results can clearly show the distribution of landscape features under the influence of geomorphology and can give the best layout suggestions. From the perspective of spatial variability, the main features of traditional landscape construction in Jiangnan are analyzed through three levels: the characteristics of the process of humanized landscapes evolving into natural landscapes, the comparative analysis of similarities and differences in the construction of cities and towns, and the characteristics of the system of regional landscape construction. Finally, the changes in the landscape pattern of the region under the influence of globalization are analyzed through the changing characteristics of landscape architecture.
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