A hedonic linear regression model is constructed in this paper to estimate property value, In our model, the property value （sales price） is a function of several selected variables such as the property characterist...A hedonic linear regression model is constructed in this paper to estimate property value, In our model, the property value （sales price） is a function of several selected variables such as the property characteristics, social neighborhoods, level of neighborhood environmental contaminations, level of neighborhood crimes, and locational accessibility to jobs or services, Definitions and calculation of these variables are approached by using Geographic Information System tools, For improving estimation, gravity model is employed to measure both levels of neighborhood toxic sites and crimes; and a time-based method is used to measure the loeational accessibility rather than simple straight-line distance measurement. This study discovers that the relationship between house value and its nearby highway is nonlinear, The methodology could help policy makers assess the external effects of a property. Our model also could be used potentially to identify the current and historic trends of development caused by neighborhood or environments change in the study area.展开更多
With the development and progression of society, people pay more attention to the concept of protecting cattle. Animal welfare in developed countries has become an accepted concept. But according to these developing c...With the development and progression of society, people pay more attention to the concept of protecting cattle. Animal welfare in developed countries has become an accepted concept. But according to these developing countries, animal welfare has gradually become an obstacle for exporting their products. In order to surpass this boundary, some ideas and suggestions are put forward.展开更多
Banana is one of the main economic agrotypes in Zhangzhou, Fujian Province. The multitemporal ENVlSAT ASAR data with different polarization are used to classify the banana fields in this paper. Principal component ana...Banana is one of the main economic agrotypes in Zhangzhou, Fujian Province. The multitemporal ENVlSAT ASAR data with different polarization are used to classify the banana fields in this paper. Principal component analysis （PCA） was applied for six pairs of ASAR dual-polarization data. For its large leaves, banana has high backscatter. So the value of banana fields is high and shows very bright in the 1st component, which makes it much easier for banana fields extraction. Dual-polarization data provide more information, and the W and VH backscatter of banana show different characters with other land covers. Based on the analysis of the radar signature of banana fields and other land covers and the 1st compo- nent, banana fields are classified using object-oriented classifier. Compared to the field survey data and ASTER data, the accuracy of banana fields in the study area is 83.5%. It shows that the principal component analysis provides the useful information in SAR images analysis and makes the extraction of banana fields easier.展开更多
基金Under the auspices of the Research Client West Oakland Environmental Indicators Taskforce, Talented Foundationof Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences (No. C08Y17)
文摘A hedonic linear regression model is constructed in this paper to estimate property value, In our model, the property value （sales price） is a function of several selected variables such as the property characteristics, social neighborhoods, level of neighborhood environmental contaminations, level of neighborhood crimes, and locational accessibility to jobs or services, Definitions and calculation of these variables are approached by using Geographic Information System tools, For improving estimation, gravity model is employed to measure both levels of neighborhood toxic sites and crimes; and a time-based method is used to measure the loeational accessibility rather than simple straight-line distance measurement. This study discovers that the relationship between house value and its nearby highway is nonlinear, The methodology could help policy makers assess the external effects of a property. Our model also could be used potentially to identify the current and historic trends of development caused by neighborhood or environments change in the study area.
文摘With the development and progression of society, people pay more attention to the concept of protecting cattle. Animal welfare in developed countries has become an accepted concept. But according to these developing countries, animal welfare has gradually become an obstacle for exporting their products. In order to surpass this boundary, some ideas and suggestions are put forward.
基金Supported by the Program for New Century Excellent Talents in University (NCET-05-0573)Fujian Science and Technology Project (No2006I0018)the Science Project of the Education Department of Fujian Province(No 2006F5022)
文摘Banana is one of the main economic agrotypes in Zhangzhou, Fujian Province. The multitemporal ENVlSAT ASAR data with different polarization are used to classify the banana fields in this paper. Principal component analysis （PCA） was applied for six pairs of ASAR dual-polarization data. For its large leaves, banana has high backscatter. So the value of banana fields is high and shows very bright in the 1st component, which makes it much easier for banana fields extraction. Dual-polarization data provide more information, and the W and VH backscatter of banana show different characters with other land covers. Based on the analysis of the radar signature of banana fields and other land covers and the 1st compo- nent, banana fields are classified using object-oriented classifier. Compared to the field survey data and ASTER data, the accuracy of banana fields in the study area is 83.5%. It shows that the principal component analysis provides the useful information in SAR images analysis and makes the extraction of banana fields easier.
