Information about the spatial distribution of soil attributes is indispensable for many land resource management applications; however, the ability of soil maps to supply such information for modern modeling tools is ...Information about the spatial distribution of soil attributes is indispensable for many land resource management applications; however, the ability of soil maps to supply such information for modern modeling tools is questionable. The objectives of this study were to investigate the possibility of predicting soil depth using some terrain attributes derived from digital elevation models （DEMs） with geographic information systems （GIS） and to suggest an approach to predict other soil attributes. Soil depth was determined at 652 field observations over the A1-Muwaqqar Watershed （70 km2） in Jordan. Terrain attributes derived from 30-m resolution DEMs were utilized to predict soil depth. The results indicated that the use of multiple linear regression models within small watershed subdivisions enabled the prediction of soil depth with a difference of 50 cm for 77% of the field observations. The spatial distribution of the predicted soil depth was visually coincided and had good correlations with the spatial distribution of the classes amalgamating three terrain attributes, slope steepness, slope shape, and compound topographic index. These suggested that the modeling of soil-landscape relationships within small watershed subdivisions using the three terrain attributes was a promising approach to predict other soil attributes.展开更多
This study was conducted to find out the available visual diversity in Japanese residential streetscapes. The visual diversity occurs when the visual elements on streetscapes are different to each other. In this study...This study was conducted to find out the available visual diversity in Japanese residential streetscapes. The visual diversity occurs when the visual elements on streetscapes are different to each other. In this study, a field survey as a subjective method and the entropy as an objective method were used as measures of visual diversity. Data were collected from 80 residential streetscapes from four sites in the Saitama Prefecture, Japan. The sequential perspective views of streetscapes were analyzed for eight visual elements： shape of houses, shape of roofs, shape of windows, positions of the main openings of houses, availability of the ornaments on houses, height, color and the appearance of the boundary walls of premises to calculate the entropy. A field survey with multicultural subjects was used to find out the correlation between entropy and the human perception on the visual diversity. According to the results, the residential streetscapes displayed high diversity variations largely due to the shape of the roofs, shape of the windows and the appearance of the boundary walls of the premises. Moreover, the results concluded that the residential streetscapes at the study area are neither visually diverse nor visually uniform in considering the visual diversity aspect.展开更多
基金Supported by the International Foundation for Science,Stockholm,Sweden (No.C/3402-1)
文摘Information about the spatial distribution of soil attributes is indispensable for many land resource management applications; however, the ability of soil maps to supply such information for modern modeling tools is questionable. The objectives of this study were to investigate the possibility of predicting soil depth using some terrain attributes derived from digital elevation models （DEMs） with geographic information systems （GIS） and to suggest an approach to predict other soil attributes. Soil depth was determined at 652 field observations over the A1-Muwaqqar Watershed （70 km2） in Jordan. Terrain attributes derived from 30-m resolution DEMs were utilized to predict soil depth. The results indicated that the use of multiple linear regression models within small watershed subdivisions enabled the prediction of soil depth with a difference of 50 cm for 77% of the field observations. The spatial distribution of the predicted soil depth was visually coincided and had good correlations with the spatial distribution of the classes amalgamating three terrain attributes, slope steepness, slope shape, and compound topographic index. These suggested that the modeling of soil-landscape relationships within small watershed subdivisions using the three terrain attributes was a promising approach to predict other soil attributes.
文摘This study was conducted to find out the available visual diversity in Japanese residential streetscapes. The visual diversity occurs when the visual elements on streetscapes are different to each other. In this study, a field survey as a subjective method and the entropy as an objective method were used as measures of visual diversity. Data were collected from 80 residential streetscapes from four sites in the Saitama Prefecture, Japan. The sequential perspective views of streetscapes were analyzed for eight visual elements： shape of houses, shape of roofs, shape of windows, positions of the main openings of houses, availability of the ornaments on houses, height, color and the appearance of the boundary walls of premises to calculate the entropy. A field survey with multicultural subjects was used to find out the correlation between entropy and the human perception on the visual diversity. According to the results, the residential streetscapes displayed high diversity variations largely due to the shape of the roofs, shape of the windows and the appearance of the boundary walls of the premises. Moreover, the results concluded that the residential streetscapes at the study area are neither visually diverse nor visually uniform in considering the visual diversity aspect.
