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  • Differentiation characteristics and influencing factors of ecological land rent among provinces in China
  • Agriculture ; China ; Cluster analysis ; Ecological footprint ; Ecology ; Economic development ; Environmental management ; Industrialization ; Man-environment relations ; Spatial analysis ; Sustainable development ; Urbanization
  • correlation analysis. It is shown that population distribution, economic level and industrial structure were all important influencing factors. Population density, urbanization level, economic density were all shown to be positively related to total ecological
  • ArcGIS and GeoDA, analyzes the spatial differentiation characteristics of ecological land rent; then, the influencing factors of ecological land rent differentiation among the provinces are examined using the methods of traditional regression and spatial
  • 2013
  • Driving forces analysis of reservoir wetland evolution in Beijing during 1984–2010
  • This article discusses the driving forces impacting the reservoir wetland evolution in Beijing during 1984–2010. The results show that for the 1984-1988 period, average annual precipitation and entry water index were the major factors driving
  • the increase in wetland area. From 1998 to 2004, as the impact of human activities intensified, the main driving factors were the number of residents, groundwater depth and urbanization rate, which caused the wetland shrinkage rapidly. During 2004–2010
  • , reservoir wetland evolution was impacted by both natural and socio-economic factors, and the dominant driving factors were urbanization rate and precipitation respectively and caused the wetland total area growth slightly.
  • 2013
  • apparel clusters in China. Through an analysis of several case studies, we show the articulation of global, regional, and local factors that are co-shaping apparel firm relocation processes. We also show that the extent to which these factors affect
  • This paper examines the diverse trajectories of firm relocation in the apparel industry in the global, regional, and local context. The analysis applies this framework to the apparel industry in the city of Ningbo, which is one of the biggest
  • 2013
  • Factors influencing storm-generated suspended-sediment concentrations and loads in four basins of contrasting land use, humid-tropical Puerto Rico
  • Land use ; Precipitation ; Puerto Rico ; Rainstorm ; Runoff ; Sediment transport ; Statistical analysis ; Suspended load ; Tropical zone ; Watershed
  • . A model of sediment availability and hysteresis was developed. Statistical analysis involved stepwise regression on factor scores. The explanatory variables were attributes of flow, hydrograph peaks, and rainfall, categorized into 5 flow periods. Sediment
  • 2013
  • Channel geometry ; Drainage network ; Drought ; Flood ; Geomorphometry ; Hydrogeomorphology ; Meander ; Multi-criteria analysis ; Natural hazards ; Plain ; Precipitation ; Romania ; Society-environment relationship ; Stream flow ; Thematic mapping
  • The study focuses on specific geomorphic, climatic and hydrological factors influencing the channel and interfluve dynamics in 4 main watersheds : Vedea (including its tributary Teleorman River), Călmăţui, Neajlov and Mostiştea. Each factor
  • is analyzed in order to identify the threshold values for the occurrence of the geomorphological and hydrological processes that negatively impact the environment and society. At the same time, based on certain specific parameters of the 3 discussed factors
  • , the AA. have accomplished a multi-criteria analysis that highlights the vulnerability to hydrogeomorphological processes of the investigated watersheds. The basic methods are the analytical and synthetic ones, based on graphical and cartographical models
  • 2013
  • Rainfall spatial organization and areal reduction factors in the metropolitan area of Barcelona (Spain)
  • Barcelona ; Catalonia ; Interpolation ; Precipitation ; Space time ; Spain ; Spatial analysis ; Spatial differentiation ; Urban climate
  • 2013
  • Correlation ; Emergency services ; Health ; Medical services ; Model ; Regression analysis ; Spatial autocorrelation ; Spatial variation
  • Application of the method of spatial statistical analysis known as the geographically weighted regression (GWR) in identifying the factors affecting emergency calls. The study began with a formulation of hypotheses on the basis of the available
  • literature. In line with the procedures applied in GWR models, a global correlation analysis was carried out in regard to the OLS regression model before spatial autocorrelation was performed in order that local GWR models could be formulated. This was all
  • done with consideration given to the spatial heterogeneity of the phenomenon under study. The results obtained allow the usefulness of the geographically weighted regression in relation to factors contributing to emergency medical calls
  • 2013
  • China ; Geochemistry ; Heavy metals ; Human impact ; Land use ; Regional geology ; Sedimentology ; Southern China ; Statistical analysis ; Watershed
  • . Subset analysis and factor analysis indicated that As, Pb and W were associated with anthropogenic activities, whereas rare earth elements were affiliated with the igneous geology in the study basin.
  • In this study, the Tukey boxplot approach was adopted to develop geochemical baselines for 42 analyses in the East River basin, South China. Data subset analyses, change ratios and factor analyses were used to explore the anthropogenic effects
  • 2013
  • Assessment of soil erosion sensitivity and analysis of sensitivity factors in the Tongbai–Dabie mountainous area of China
  • China ; Eastern China ; Erodibility ; Geographical information system ; Human impact ; Mountain ; Remote sensing ; Soil erosion ; Spatial analysis ; Subtropical zone ; Water erosion
  • 2013
  • Quantitative geomorphological analysis of drumlins in the Peterborough drumlin field, Ontario, Canada
  • Canada ; Drumlin ; Geomorphometry ; Glacial features ; Ontario ; Quantitative analysis ; Spatial analysis ; Spatial distribution
  • the region and their form characteristics have distinct regional trends. Kernel density analysis is used to identify the regional trends in drumlin characteristics. Factors that appear to influence the form and distribution of drumlins in the study area
  • and non-spatial analysis of the form and distribution of drumlins across the study area identifies drumlin characteristics such as size, elongation ratio, symmetry and long axis orientation and shows that drumlins are not randomly distributed across
  • 2013
  • Factors affecting storm event turbidity in a New York City water supply stream
  • Drinking water ; Hysteresis ; Multivariate analysis ; New York State ; Precipitation ; Reservoir ; Suspended load ; Turbidity ; United States of America ; Water ; Water quality ; Water resources
  • The aim of this study was to understand the underlying factors controlling the uncertainty in the discharge vs turbidity relationship at the outlet of the watershed draining into the Ashokan Reservoir, one part of the New York City (NYC) water
  • 2013
  • Yellow River had a decreasing trend in the past 60 years, with 2 abrupt falls around the years 1971 and 1991. The results of the correlation analysis of the temporal series of runoff coefficient and influencing factors suggest that climate change
  • factors, which include rainfall, temperature, terrain slope, drainage density, gravel, sand, silt, and organic carbon content in soil, water consumption, and soil conservation measures. The results show that the total runoff generated from the middle
  • , hydraulic engineering and soil conservation measures, were all the major causes of runoff reducing in the second half of the last century in the middle Yellow River. The contributions of climatic and human factors to runoff reduction are quantified.
  • 2013
  • Factors controlling the morphology and volume (V)–length (L) relations of permanent gullies in the northern Ethiopian Highlands
  • Aerial photography ; Dam ; Drainage network ; Ethiopia ; Gully erosion ; Lithology ; Mountain ; Northern Ethiopia ; Satellite imagery ; Slope gradient ; Spatial analysis ; Watershed
  • characteristics into account, factors that control gully cross-sectional morphology were studied from 811 cross-sections. This indicated that the lithology and the presence of check dams or low-active channels were the most important controls of gully cross
  • 2013
  • Rubber plantation and its relationship with topographical factors in the border region of China, Laos and Myanmar
  • Altitude ; Burma ; China ; Expansion ; Forest ; Frontier region ; Hevea ; Laos ; Plantation ; Slope gradient ; Spatial analysis ; Topography ; Yunnan
  • The AA. examine the rubber plantation and its relationship with topographical factors in the border region of China, Laos and Myanmar. They show that for the period of time study, it expanded further in all directions with Jinghong City
  • 2013
  • The social respectability of the farming profession and part-time farms after Second World War is an important factor of the socio-economic transformations of farms and agrarian landscape in Slovenia. The article begins with putting the process
  • of deagrarisation and the formation of part-time farms into historic perspective. Further on, results of an analysis of the respectability of the farming profession and part-time farmers are presented. The analysis is based on the public opinion surveys. - (IKR)
  • 2013
  • Badland ; Calabria ; Clay ; Italy ; Mediterranean climate ; Micromorphology ; Multivariate analysis ; Precipitation ; Slope dynamics ; Slope gradient ; Soil erosion ; Soil properties ; Water erosion
  • steepness and lengths i.e. W- to NW-facing and E- to NE-facing slopes). Using a multivariate statistic approach – which adopts the principal component analysis (PCA) method to extract factors – it has been possible to make a hypothesis of the main processes
  • responsible for dynamic evolution of the study area. The rainfall quantity coupled with topography has to be considered as the main control factor inducing changes in the physical–chemical–mineralogical parameters.
  • 2013
  • Distance ; Human capital ; International migration ; Migration factor ; Migration model ; Migratory flow ; Minority ; Remittances
  • Distancia ; Factor de migración ; Flujo migratorio ; Migración internacional ; Minoría ; Modelo migratorio ; Recursos humanos
  • 2013
  • [b2] National Institute of Demographic and Economic Analysis, Univ. of Waikato, Hamilton, Nouvelle-Zelande
  • Aerial photography ; Forecast ; Geographical information system ; Landslide ; Model ; Natural hazards ; Photointerpretation ; South Korea ; Spatial analysis ; Thematic mapping
  • %) and validation (30%) purposes. Maps relevant to landslide occurrence (topography, geology, soil, and forest cover) were assembled in a spatial database, from which 17 landslide-related factors were extracted. The relationships between the observed landslide
  • locations and these factors were identified and quantified using the evidential belief function (EBF) model. Three relationships were calculated: disbelief (Dis), uncertainty (Unc), and belief (Bel). The most representative of the resulting susceptibility
  • 2013
  • Examining the impact of environmental factors on quality of life across Massachusetts
  • Environment ; Environmental quality ; Household ; Impact ; Massachusetts ; Neighbourhood ; Quality of life ; Regression analysis ; Social geography ; Socio-economic indicators ; Spatial variation ; United States of America
  • 2013
  • Coastal plain ; Cultivated land ; Drainage ; Forest soil ; North Carolina ; Plant canopy ; Podsolisation ; Soil ; Soil properties ; Spatial analysis ; Spatial variation ; United States of America
  • based on the observed spatial contiguity of soil taxa, and soil factor sequences (SFS) are defined for each site based on systematic soil variation associated with variations in parent material, topography, sandy surface thicknesses, and secondary
  • podzolization. The spectral radii of the networks described by the adjacency graphs are compared to those associated with the maximum for a graph of the same size, and the maximum associated with control entirely by variations in soil forming factors. Greater
  • 2013