Since the second half of the 20th century in Italy, following farming conversion or abandonment, many traditional agricultural systems and the connected landscapes along with them have disappeared. We discuss a concep...Since the second half of the 20th century in Italy, following farming conversion or abandonment, many traditional agricultural systems and the connected landscapes along with them have disappeared. We discuss a conceptual framework to understand and describe changing in agricultural landscapes. According to us, the traditionality of the agricultural landscape is an expression of the local coevolution between the social project of the farmer and the constraints made by the natural system. The paper focuses on defining a spatial-temporal analytical model based on both the morphological recognition of different typologies of elements which contribute to the environmental landscape mosaic and the dynamic observation of the transformations of the mosaic itself. We identify the natural, social and economic driving forces involved in defining the agricultural space using a transdisciplinary approach so that ecological, agronomics and socio-economical information must be integrated as a basis for land use planning and management. The research approach and the methodology are applied to a couple of case studies.展开更多
In this paper, we study the transport of the system with the additive temporal-spatial noise, by two models, i.e., a spatial asymmetry model and a spatial symmetry model. The study shows that the correlation of the ad...In this paper, we study the transport of the system with the additive temporal-spatial noise, by two models, i.e., a spatial asymmetry model and a spatial symmetry model. The study shows that the correlation of the additive noise with the space and the spatial asymmetry are ingredients for the transport.展开更多
Unlike traditional fiction, Virginia Woolf＇s ＂The Mark on the Wall＂ doesn＇t have lively characters, detailed setting, or intriguing plot. Discarding the traditional narrative mode of zero focalization, the narrato...Unlike traditional fiction, Virginia Woolf＇s ＂The Mark on the Wall＂ doesn＇t have lively characters, detailed setting, or intriguing plot. Discarding the traditional narrative mode of zero focalization, the narrator adopts a new fixed internal focalization, interwoven with the first person external point of view. By weakening the physical time and space, the narrator tells the story according to her psychological time and space, stressing the moment of importance, through which the writer highlights her subjective reality.展开更多
This paper examines the spatial-temporal dynamics of inequality from the perspective of social deprivation in the context of continuous growth of grain production using national census data from 2000 and 2010 for Hena...This paper examines the spatial-temporal dynamics of inequality from the perspective of social deprivation in the context of continuous growth of grain production using national census data from 2000 and 2010 for Henan province,China.Our analytical results show an overall level of social deprivation that is high and a widening social deprivation gap at the county level.The social deprivation shows great spatiotemporal heterogeneity,the higher deprived counties are mainly distributed in central and eastern Henan province,while counties with lower social deprivation are clustered in northwestern regions,formed a belt-shape spatial differential between the south(higher deprived counties clustered)and northwest(low deprived counties clustered)Henan in 2000,and changed toward a core-periphery semi annular spatial structure in 2010,the low deprived counties surrounded by high deprived counties.The social deprivation shows a"west low and east high"spatial pattern,similar to the grain production in Henan province.Socioeconomic development level was low in most counties in Yudong plain despite of keeping the continuous increase of grain production,meaning the higher grain output did not result in the more social development expected in Chinese traditional agricultural areas,and the regional disparity is expected to increase in the near future if development conditions are not changed,which could inspire more targeted rural governance options.展开更多
In this study,a machine learning method,i.e.genetic programming(GP),is employed to obtain a simplified statistical model to describe the variation of soil suction in drying cycles using five selected influential param...In this study,a machine learning method,i.e.genetic programming(GP),is employed to obtain a simplified statistical model to describe the variation of soil suction in drying cycles using five selected influential parameters.The data used for model development was recorded by an in-situ experiment.The image processing technology is used to quantify several tree canopy parameters.Based on four accuracy metrics,i.e.root mean square error(RMSE),mean absolute percentage error(MAPE),coefficient of determination(R2),and relative error,the performance of the proposed GP model was evaluated.The results indicate that the model can give a reasonable estimation for the spatiotemporal variations of soil suction around a tree with acceptable errors.Global sensitivity analysis for the statistical model obtained using limited data of a specific region demonstrates the drying time as the most influential variable and the initial soil suction as the second most influential variable for the soil suction variations.A case study was conducted using a set of assumed input variable values and validated that the simplified GP model can be used to estimate and predict the spatiotemporal variations of soil suction in rooted soil at a certain range.展开更多
文摘Since the second half of the 20th century in Italy, following farming conversion or abandonment, many traditional agricultural systems and the connected landscapes along with them have disappeared. We discuss a conceptual framework to understand and describe changing in agricultural landscapes. According to us, the traditionality of the agricultural landscape is an expression of the local coevolution between the social project of the farmer and the constraints made by the natural system. The paper focuses on defining a spatial-temporal analytical model based on both the morphological recognition of different typologies of elements which contribute to the environmental landscape mosaic and the dynamic observation of the transformations of the mosaic itself. We identify the natural, social and economic driving forces involved in defining the agricultural space using a transdisciplinary approach so that ecological, agronomics and socio-economical information must be integrated as a basis for land use planning and management. The research approach and the methodology are applied to a couple of case studies.
基金The project supported by National Natural Science Foundation of China under Grant No.10375009
文摘In this paper, we study the transport of the system with the additive temporal-spatial noise, by two models, i.e., a spatial asymmetry model and a spatial symmetry model. The study shows that the correlation of the additive noise with the space and the spatial asymmetry are ingredients for the transport.
文摘Unlike traditional fiction, Virginia Woolf＇s ＂The Mark on the Wall＂ doesn＇t have lively characters, detailed setting, or intriguing plot. Discarding the traditional narrative mode of zero focalization, the narrator adopts a new fixed internal focalization, interwoven with the first person external point of view. By weakening the physical time and space, the narrator tells the story according to her psychological time and space, stressing the moment of importance, through which the writer highlights her subjective reality.
基金supported by the National Natural Science Foundation of China (Grant Nos. 41401171, and 41671179)the Philosophy and Social Science Planning Program in Henan Province (Grant No. 2017BSH009)Nanhu Scholars Program for Young Scholars of Xinyang Normal University
文摘This paper examines the spatial-temporal dynamics of inequality from the perspective of social deprivation in the context of continuous growth of grain production using national census data from 2000 and 2010 for Henan province,China.Our analytical results show an overall level of social deprivation that is high and a widening social deprivation gap at the county level.The social deprivation shows great spatiotemporal heterogeneity,the higher deprived counties are mainly distributed in central and eastern Henan province,while counties with lower social deprivation are clustered in northwestern regions,formed a belt-shape spatial differential between the south(higher deprived counties clustered)and northwest(low deprived counties clustered)Henan in 2000,and changed toward a core-periphery semi annular spatial structure in 2010,the low deprived counties surrounded by high deprived counties.The social deprivation shows a"west low and east high"spatial pattern,similar to the grain production in Henan province.Socioeconomic development level was low in most counties in Yudong plain despite of keeping the continuous increase of grain production,meaning the higher grain output did not result in the more social development expected in Chinese traditional agricultural areas,and the regional disparity is expected to increase in the near future if development conditions are not changed,which could inspire more targeted rural governance options.
基金the National Key R&D Program of China(No.2019YFB1600700)the Science and Technology Development Fund of Macao(Nos.SKL-IOTSC-2018-2020 and 0193/2017/A3)the University of Macao Research Fund(No.MYRG2018-00173-FST),China。
文摘In this study,a machine learning method,i.e.genetic programming(GP),is employed to obtain a simplified statistical model to describe the variation of soil suction in drying cycles using five selected influential parameters.The data used for model development was recorded by an in-situ experiment.The image processing technology is used to quantify several tree canopy parameters.Based on four accuracy metrics,i.e.root mean square error(RMSE),mean absolute percentage error(MAPE),coefficient of determination(R2),and relative error,the performance of the proposed GP model was evaluated.The results indicate that the model can give a reasonable estimation for the spatiotemporal variations of soil suction around a tree with acceptable errors.Global sensitivity analysis for the statistical model obtained using limited data of a specific region demonstrates the drying time as the most influential variable and the initial soil suction as the second most influential variable for the soil suction variations.A case study was conducted using a set of assumed input variable values and validated that the simplified GP model can be used to estimate and predict the spatiotemporal variations of soil suction in rooted soil at a certain range.
