In many areas of North China, villagers are more concerned about the specific practice like ritual, rather than ideology when dealing with the relevant belief problems. Therefore, practice is far more important in the...In many areas of North China, villagers are more concerned about the specific practice like ritual, rather than ideology when dealing with the relevant belief problems. Therefore, practice is far more important in the analysis of villagers＇ belief problems. In everyday life, villagers produce an entire set of local knowledge based on their needs and experience to life, and form various social relationships based on the shared knowledge. Narration and practice are not only the strategies that villagers often use to construct their local knowledge but also the leading ways to produce and inherit it. So it is indispensable to pay attention to the production ways and the practice, which concerning about the local belief knowledge, thus it may be better to understand their inner logic of participating the relevant ritual activities when we analyze xiangtou （香头） and kanxiang （看香） activities widely existed in rural areas of North China.展开更多
Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results conta...Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results containing large number of redundant rules. In this paper, a new method named Geo-Filtered Association Rules Mining(GFARM) is proposed to effectively eliminate the redundant rules. An application of GFARM is performed as a case study in which association rules are discovered between building land distribution and potential driving factors in Wuhan, China from 1995 to 2015. Ten sets of regular sampling grids with different sizes are used for detecting the influence of multi-scales on GFARM. Results show that the proposed method can filter 50%–70% of redundant rules. GFARM is also successful in discovering spatial association pattern between building land distribution and driving factors.展开更多
In the context of climate change,research on extreme climates and disaster risk management has become a crucial component of climate change adaptation.Local communities,which have been facing extreme climates for a lo...In the context of climate change,research on extreme climates and disaster risk management has become a crucial component of climate change adaptation.Local communities,which have been facing extreme climates for a long time in their production and daily life,have developed some locally applicable traditional knowledge that has played an important role in their adaptation to extreme climate and disaster risk management.Therefore,this research aims to link Local knowledge(LK)to community extreme climate disaster risk management in order to construct a conceptual model.It then takes the extreme climate adaptation strategy of traditional nomads in a temperate grassland of China as an example to analyze the role of LK in extreme climate adaptation using the proposed theoretical framework.The main research objectives of this study are:(1)To construct a conceptual model to illustrate the relations among extreme climate events,risk management,LK,and farmers’adaptation strategies;(2)To apply the theoretical framework to a field case to reveal context-specific extreme climate adaptation mechanisms with LK as a critical component;(3)To test the framework and provide suggestions for the extreme climates adaptation,and the conservation of LK related to climate change adaptation.The results show that from the perspective of disaster risk management,local communities could manage extreme climates as a disaster risk through adaptation strategies formed from LK,because as a knowledge system,LK contains relevant knowledge covering the whole process of disaster risk management.展开更多
文摘In many areas of North China, villagers are more concerned about the specific practice like ritual, rather than ideology when dealing with the relevant belief problems. Therefore, practice is far more important in the analysis of villagers＇ belief problems. In everyday life, villagers produce an entire set of local knowledge based on their needs and experience to life, and form various social relationships based on the shared knowledge. Narration and practice are not only the strategies that villagers often use to construct their local knowledge but also the leading ways to produce and inherit it. So it is indispensable to pay attention to the production ways and the practice, which concerning about the local belief knowledge, thus it may be better to understand their inner logic of participating the relevant ritual activities when we analyze xiangtou （香头） and kanxiang （看香） activities widely existed in rural areas of North China.
基金Under the auspices of Special Fund of Ministry of Land and Resources of China in Public Interest(No.201511001)
文摘Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results containing large number of redundant rules. In this paper, a new method named Geo-Filtered Association Rules Mining(GFARM) is proposed to effectively eliminate the redundant rules. An application of GFARM is performed as a case study in which association rules are discovered between building land distribution and potential driving factors in Wuhan, China from 1995 to 2015. Ten sets of regular sampling grids with different sizes are used for detecting the influence of multi-scales on GFARM. Results show that the proposed method can filter 50%–70% of redundant rules. GFARM is also successful in discovering spatial association pattern between building land distribution and driving factors.
基金The National Natural Science Foundation of China (42001194)。
文摘In the context of climate change,research on extreme climates and disaster risk management has become a crucial component of climate change adaptation.Local communities,which have been facing extreme climates for a long time in their production and daily life,have developed some locally applicable traditional knowledge that has played an important role in their adaptation to extreme climate and disaster risk management.Therefore,this research aims to link Local knowledge(LK)to community extreme climate disaster risk management in order to construct a conceptual model.It then takes the extreme climate adaptation strategy of traditional nomads in a temperate grassland of China as an example to analyze the role of LK in extreme climate adaptation using the proposed theoretical framework.The main research objectives of this study are:(1)To construct a conceptual model to illustrate the relations among extreme climate events,risk management,LK,and farmers’adaptation strategies;(2)To apply the theoretical framework to a field case to reveal context-specific extreme climate adaptation mechanisms with LK as a critical component;(3)To test the framework and provide suggestions for the extreme climates adaptation,and the conservation of LK related to climate change adaptation.The results show that from the perspective of disaster risk management,local communities could manage extreme climates as a disaster risk through adaptation strategies formed from LK,because as a knowledge system,LK contains relevant knowledge covering the whole process of disaster risk management.
