A novel multivariate similarity clustering analysis (MSCA) approach was used to estimate a biogeographical division scheme for the global terrestrial fauna and was compared against other widely used clustering algorit...A novel multivariate similarity clustering analysis (MSCA) approach was used to estimate a biogeographical division scheme for the global terrestrial fauna and was compared against other widely used clustering algorithms. The faunal dataset included almost all terrestrial and freshwater fauna, a total of 4631 families, 141,814 genera, and 1,334,834 species. Our findings demonstrated that suitable results were only obtained with the MSCA method, which was associated with distinct hierarchies, reasonable structuring, and furthermore, conformed to biogeographical criteria. A total of seven kingdoms and 20 sub-kingdoms were identified. We discovered that the clustering results for the higher and lower animals did not differ significantly, leading us to consider that the analysis result is convincing as the first zoogeographical division scheme for global all terrestrial animals.展开更多
This article makes an integral and comprehensive study on the process of regional brand enhancement based on agricultural industry clusters using the theories of industrial clusters and regional brands.By analyzing th...This article makes an integral and comprehensive study on the process of regional brand enhancement based on agricultural industry clusters using the theories of industrial clusters and regional brands.By analyzing the key determinants in the process of regional brand enhancement based on agricultural industry clusters,we establish a systemic theory system.The results show that as an important mediator in the process of regional brand enhancement based on agricultural industry clusters,the construction of value chain system is of vital importance.Other factors, such as the government guidance and service,the promotion of industry associations and professional cooperatives,play a key regulating role in this process.展开更多
This paper analyzes the factors that influence the development of regional industry cluster, which are location factors, accumulatable factors, and external factors. Then regarding the similarity between the developme...This paper analyzes the factors that influence the development of regional industry cluster, which are location factors, accumulatable factors, and external factors. Then regarding the similarity between the development of industry cluster and biology community, a modified logistic model is built, and a field study is made between the real instances and the model.展开更多
As a middle organization between enterprise organization which gains the competition advantage and eration of industrial clusters and regional logistics refers development of modern regional logistics. On the basis an...As a middle organization between enterprise organization which gains the competition advantage and eration of industrial clusters and regional logistics refers development of modern regional logistics. On the basis and market, industrial cluster is now the space industrial innovation advantage for a nation or a region. The coop- to improvement of industrial clusters＇ competitiveness and of reviewing the recent years＇ situation of Shaanxi Prov- ince＇s regional logistics and its industrial clusters, this paper analyzes positively about the supporting role of the regional logistics, builds gray relational model by choosing corresponding indicators, and carries out test of signif- icance. Finally it brings out strategic recommendations to and regional logistics enhance the level of cooperation of industrial clusters展开更多
South America’s climatic diversity is a product of its vast geographical expanse, encompassing tropical to subtropical latitudes. The variations in precipitation and temperature across the region stem from the influe...South America’s climatic diversity is a product of its vast geographical expanse, encompassing tropical to subtropical latitudes. The variations in precipitation and temperature across the region stem from the influence of distinct atmospheric systems. While some studies have characterized the prevailing systems over South America, they often lacked the utilization of statistical techniques for homogenization. On the other hand, other research has employed multivariate statistical methods to identify homogeneous regions regarding temperature and precipitation, but their focus has been limited to specific areas, such as the south, southeast, and northeast. Surprisingly, there is a lack of work that compares various multivariate statistical techniques to determine homogeneous regions across the entirety of South America concerning temperature and precipitation. This paper aims to address this gap by comparing three such techniques: Cluster Analysis (K-means and Ward) and Self Organizing Maps, using data from different sources for temperature (ERA5, ERA5-Land, and CRU) and precipitation (ERA5, ERA5-Land, and CPC). Spatial patterns and time series were generated for each region over the period 1981-2010. The results from this analysis of spatially homogeneous regions concerning temperature and precipitation have the potential to significantly benefit climate analysis and forecasts. Moreover, they can offer valuable insights for various climatological studies, guiding decision-making processes in diverse fields that rely on climate information, such as agriculture, disaster management, and water resources planning.展开更多
To understand the spatial difference of agricultural sustainability in Tibet,this paper establishes a comprehensive evaluation model of agricultural sustainability to calculate the score of agricultural sustainability...To understand the spatial difference of agricultural sustainability in Tibet,this paper establishes a comprehensive evaluation model of agricultural sustainability to calculate the score of agricultural sustainability of 7 areas in 2013 in Tibet. By using cluster analysis,this paper conducts the regional evaluation of Tibet's agricultural sustainability. The results show that 7 cities' regional difference of agricultural sustainability was obvious in 2013,the agricultural sustainability index value was 0. 4232- 0. 6937,and the value was in the order of Nyingchi > Lhasa > Shannan > Ali > Shigatse > Qamdo > Nagqu. According to the agricultural sustainable development level,Tibet can be divided into three regions: the first type is the area with the highest level of sustainable development of agriculture,including Nyingchi and Lhasa; the second type is the area with the average level of sustainable development of agriculture,including Shigatse and Shannan; the third type is the area with the low level of sustainable development of agriculture,including Qamdo,Ali and Nagqu.展开更多
文摘A novel multivariate similarity clustering analysis (MSCA) approach was used to estimate a biogeographical division scheme for the global terrestrial fauna and was compared against other widely used clustering algorithms. The faunal dataset included almost all terrestrial and freshwater fauna, a total of 4631 families, 141,814 genera, and 1,334,834 species. Our findings demonstrated that suitable results were only obtained with the MSCA method, which was associated with distinct hierarchies, reasonable structuring, and furthermore, conformed to biogeographical criteria. A total of seven kingdoms and 20 sub-kingdoms were identified. We discovered that the clustering results for the higher and lower animals did not differ significantly, leading us to consider that the analysis result is convincing as the first zoogeographical division scheme for global all terrestrial animals.
基金Supported by Humanities and Social Sciences Research Project of the Ministry of Education(12YJA630192)Philosophy and Social Science Planning Project in Zhejiang Province(10CGGL18YB)
文摘This article makes an integral and comprehensive study on the process of regional brand enhancement based on agricultural industry clusters using the theories of industrial clusters and regional brands.By analyzing the key determinants in the process of regional brand enhancement based on agricultural industry clusters,we establish a systemic theory system.The results show that as an important mediator in the process of regional brand enhancement based on agricultural industry clusters,the construction of value chain system is of vital importance.Other factors, such as the government guidance and service,the promotion of industry associations and professional cooperatives,play a key regulating role in this process.
文摘This paper analyzes the factors that influence the development of regional industry cluster, which are location factors, accumulatable factors, and external factors. Then regarding the similarity between the development of industry cluster and biology community, a modified logistic model is built, and a field study is made between the real instances and the model.
文摘As a middle organization between enterprise organization which gains the competition advantage and eration of industrial clusters and regional logistics refers development of modern regional logistics. On the basis and market, industrial cluster is now the space industrial innovation advantage for a nation or a region. The coop- to improvement of industrial clusters＇ competitiveness and of reviewing the recent years＇ situation of Shaanxi Prov- ince＇s regional logistics and its industrial clusters, this paper analyzes positively about the supporting role of the regional logistics, builds gray relational model by choosing corresponding indicators, and carries out test of signif- icance. Finally it brings out strategic recommendations to and regional logistics enhance the level of cooperation of industrial clusters
文摘South America’s climatic diversity is a product of its vast geographical expanse, encompassing tropical to subtropical latitudes. The variations in precipitation and temperature across the region stem from the influence of distinct atmospheric systems. While some studies have characterized the prevailing systems over South America, they often lacked the utilization of statistical techniques for homogenization. On the other hand, other research has employed multivariate statistical methods to identify homogeneous regions regarding temperature and precipitation, but their focus has been limited to specific areas, such as the south, southeast, and northeast. Surprisingly, there is a lack of work that compares various multivariate statistical techniques to determine homogeneous regions across the entirety of South America concerning temperature and precipitation. This paper aims to address this gap by comparing three such techniques: Cluster Analysis (K-means and Ward) and Self Organizing Maps, using data from different sources for temperature (ERA5, ERA5-Land, and CRU) and precipitation (ERA5, ERA5-Land, and CPC). Spatial patterns and time series were generated for each region over the period 1981-2010. The results from this analysis of spatially homogeneous regions concerning temperature and precipitation have the potential to significantly benefit climate analysis and forecasts. Moreover, they can offer valuable insights for various climatological studies, guiding decision-making processes in diverse fields that rely on climate information, such as agriculture, disaster management, and water resources planning.
基金Supported by Science and Technology Support Project of Ministry of Science and Technology(2013BAC04B03)Humanities and Social Sciences Research Project of Universities in Tibet Autonomous Region(2013ZJRW02)
文摘To understand the spatial difference of agricultural sustainability in Tibet,this paper establishes a comprehensive evaluation model of agricultural sustainability to calculate the score of agricultural sustainability of 7 areas in 2013 in Tibet. By using cluster analysis,this paper conducts the regional evaluation of Tibet's agricultural sustainability. The results show that 7 cities' regional difference of agricultural sustainability was obvious in 2013,the agricultural sustainability index value was 0. 4232- 0. 6937,and the value was in the order of Nyingchi > Lhasa > Shannan > Ali > Shigatse > Qamdo > Nagqu. According to the agricultural sustainable development level,Tibet can be divided into three regions: the first type is the area with the highest level of sustainable development of agriculture,including Nyingchi and Lhasa; the second type is the area with the average level of sustainable development of agriculture,including Shigatse and Shannan; the third type is the area with the low level of sustainable development of agriculture,including Qamdo,Ali and Nagqu.
