Cultivated land is a basic resource that is related to the sustainable development of the global economy and society. Studying the spatial and temporal distribution of cultivated land and its influential factors at the township scale is an important way to improve its sustainable use. Based on the land use data in 2009 and 2015, this paper comprehensively uses kernel density estimation, spatial autocorrelation analysis, and the spatial autoregressive model to analyze the spatial distribution characteristics and influential factors of cultivated land. The results show that in 2009 and 2015, the maximum kernel density of cultivated land in Lishan Town was 31/km2 and 38/km2, respectively, and there is an increasing tendency for it in the future. The global spatial autocorrelation Moran’s I of the proportion of cultivated land area in the administrative villages of Lishan Town in 2009 and 2015 was 0.5251 and 0.3970, respectively. Cultivated land has significant spatial self-positive correlation agglomeration characteristics in spatial distribution. Based on spatial error model (SEM) analysis, the regression coefficients of the village were 0.236 and 0.196 in 2009 and 2015, respectively. The regression coefficients of the road were 0.632 and 0.630, respectively. The regression coefficients of the water system were 0.481 and 0.290, respectively. The regression coefficients of the topographic position index were −0.817 and −0.672, respectively. By comparing 2015 with 2009, the regression coefficients of each influential factor have been reduced to varying degrees.

No abstract

Environment is the foundation for human survival. Sustainable development is the main direction of social progress and the common choice of human progress. The development of the Winter Olympic Games is closely related to the progress of mankind and society. Therefore, it is particularly important to study the sustainable development of the Winter Olympic Games. Based on this, an Internet-based wireless sensor for Winter Olympic environment information acquisition scheme is proposed. The hardware and sensor modules of the wireless sensor are designed, and the adaptive weighting algorithm is used to fuse several wireless sensor nodes. By testing and analyzing the communication ability of a single wireless sensor node and the error rate under different distance, the data is collected for the environment information of a Winter Olympic sports field. The results of the data collection are very close to the actual environmental parameters. It shows that the wireless sensor network system based on the Internet has strong stability and reliability in data collection. It can provide effective data support for the information management research of sustainable development of Winter Olympic Games.

The Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings, the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article.Maomao Zhang and Feng Zhai have not responded to correspondence regarding this retraction. Publisher's NoteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

No abstract