Abstract
Traditional settlements are widely concerned by academic circles for their unique settlement patterns, exquisite residential buildings, and rich historical and cultural connotations, and their protection and development is an important proposition for rural revitalization. Therefore, from the perspective of big data mining (BDM), this paper explores its application in architectural space and settlement protection of traditional settlements in Hainan and provides new ideas for the protection and renewal of traditional settlements in Hainan. The attribute elements of spatial data of settlement groups are analyzed by the decision tree classification mining method. In order to avoid the multivalued tendency of ID3 algorithm and improve the efficiency of decision tree generation by ID3 algorithm, an improved ID3 algorithm is proposed by introducing user interest and simplifying the calculation process of the algorithm. At the same time, the graph theory recognition method of grid pattern is proposed. Aiming at the intersection graph and direction relation graph of straight line pattern, grid pattern recognition is realized by solving the connectivity, intersection, and subsequent construction of the maximum complete subgraph. Experiments show that the improved ID3 algorithm has better running efficiency than the parallel algorithm based on cooccurrence matrix. The analysis of the architectural space of traditional settlements in Hainan will help us better grasp social activities and provide direction for the protection and renewal of traditional settlements from the perspective of tourists and residents.
Highlights
Hainan Island is an ideal research place because of its special status as an island-type natural geographical region. e relative independence and integrity of geography and geomorphology provide a relatively independent and complete geographical space for the survival of its population, so that its cultural evolution, historical changes, and the related evolution of traditional settlements and architectural space forms naturally remain relatively independent. at is to say, Hainan Island has the coincidence of geographical area, administrative area, and cultural area in research space and keeps relative independence
Big data mining (BDM) is dynamic and time-sensitive, closely related to people’s social activities, and rich in data. rough the analysis and application of data throughout urban planning, to a certain extent, it can make up for the problems of lack of fair participation, lack of dynamics, and lack of planning foresight in the current planning process [4]. rough the Discrete Dynamics in Nature and Society comprehensive analysis of traditional data and network data, the collection can reflect the opinions of most residents and tourists on villages, which makes the protection and renewal of traditional settlements more humane
Under the background of information age, traditional settlements have been faced with the problem of how to balance protection and inheritance, development, and renewal. e data of big data mining (BDM) come from traditional survey data and network data. is paper analyzes the problems existing in the protection and renewal of traditional settlements from two aspects of traditional data and network data and provides a new way of thinking for planners and managers
Summary
Hainan Island is an ideal research place because of its special status as an island-type natural geographical region. e relative independence and integrity of geography and geomorphology provide a relatively independent and complete geographical space for the survival of its population, so that its cultural evolution, historical changes, and the related evolution of traditional settlements and architectural space forms naturally remain relatively independent. at is to say, Hainan Island has the coincidence of geographical area, administrative area, and cultural area in research space and keeps relative independence. Rough the Discrete Dynamics in Nature and Society comprehensive analysis of traditional data and network data, the collection can reflect the opinions of most residents and tourists on villages, which makes the protection and renewal of traditional settlements more humane. Is paper analyzes the problems existing in the protection and renewal of traditional settlements from two aspects of traditional data and network data and provides a new way of thinking for planners and managers. It has certain guiding significance for how to give consideration to the inheritance of history and culture and meet the needs of people’s social activities in the current social background. For the intersection graph and direction relation graph of line pattern, grid pattern recognition is realized by solving the maximum complete subgraph, connected graph, intersection graph, and subsequent construction
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