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  • Ecodevelopment ; Energy ; Environment ; Geographical information system ; Landscape evaluation ; Location ; Location choice ; Multi-criteria analysis ; Poland ; Subcarpathian Voivodeship ; Wind energy
  • , environmental, social, technical and resource-functional nature. Factors are depicted comprehensively, together with the barriers that arise out of them, in the context of the Polish Subcarpathian gmina of Rymanów. An analysis of spatial data obtained
  • in the form of maps, digital databases and a digital elevation model has been conducted with the help of GIS tools. Through the use of multi-criteria analysis (MCA), the above sources have given rise to a map evaluating the suitability of land
  • 2013
  • A synoptic analysis of site selection for cloud seeding in central Iran
  • The aim of this research was to study winds and airflows during rainy periods in order to plan for cloud seeding projects to increase precipitation in central areas of Iran (Yazd and Kerman provinces). One of the most important factors to study
  • in site selection for cloud seeding projects is the relationship between winds and precipitation in the region of interest. The analysis was performed using wind direction and speed data for both surface and tropospheric levels. The results suggest
  • 2013
  • Cartography ; Classification ; Data base ; Ethiopia ; Geographical information system ; Hydrosystem ; Overland flow ; Soil ; Soil properties ; Soil water ; Spatial analysis
  • from various sources and scales was conducted. A regression equation was used to develop the soil geo-database, scale factors of soil, land slope and climatic layers. An iterative analysis and expert knowledge was also used to determine the weights
  • The AA. analyzed soils, topography and climatic data from over 1100 stations in Ethiopia. They setup a spatial model that uses rainfall, slope, evapotranspiration and runoff. Analysis based on a weighted overlay technique within ArcGIS using data
  • 2013
  • Change analysis of rice area and production in China during the past three decades
  • Agricultural production ; Agriculture ; Arable land ; China ; Irrigated farming ; Location ; Rice ; Spatial analysis ; Spatial distribution ; Spatial variation
  • of the decreased area and production were located in Southeast China, especially, in regions of rapidly urbanization in Guangdong, Fujian and Zhejiang. This implies that rice production increase may be due to area expansion and other non-area factors, but reduced
  • 2013
  • Fluvial deposit ; Hydrocarbon ; Lacustrine sediment ; Missouri ; Pollution ; Regression analysis ; Rill wash ; Spatial analysis ; Tracer ; United States of America ; Urban area ; Urban infrastructure ; Watershed
  • as contamination source areas. Multiple-linear regression analysis is used to evaluate the spatial connectivity of contaminated sediment to potential source areas and compare the relative influence of watershed source factors and reach sediment variability
  • 2013
  • Hospital ; Ireland ; Management ; Medical services ; Model ; Service ; Simulation ; Spatial analysis ; Spatial variation
  • The AA. establish whether spatial variation exists in acute hospital utilization in Ireland and, if it does, to identify the microlevel factors influencing this variation. Using the calibrated data from the aforementioned spatial microsimulation
  • 2013
  • This article discusses housing foreclosure in Colmbus, Ohio, as a geographically contingent event. Unique areas are examined by neighborhood reconnaissance, exploratory data analysis, interviews, and archival research. Relevant factors include race
  • 2013
  • . The analysis shows that thermal stress related to slight and moderate cold stress and no thermal stress is a dominant factor (80%) affecting the bioclimatic conditions of the Lubuskie Voivodeship. During the analysed period, days with thermal stress related
  • 2013
  • Input–output efficiency of urban agglomerations in China : an application of data envelopment analysis (DEA)
  • of efficiency and compares the efficiency performance of China’s UAs with that of 35 central cities. Moreover, the exogenous factors determining the input–output efficiency of UAs, the question of how to improve UAs’ efficiency performance, as well as the focus
  • 2013
  • Sustainability analysis of the urban ecosystem in Guangzhou City based on information entropy between 2004 and 2010
  • ecosystem was built using information entropy. Last, by combining the time series variation of the evaluation indicators with the entropy weights, this paper analyzed the influence of the combined factors on the sustainable development ability of the urban
  • 2013
  • Agricultural land use ; Agroforestry ; Atmospheric pollution ; Ecosystem ; Geochemistry ; Indonesia ; Land use ; Nitrogen ; Phosphorus ; Principal components analysis ; Rural landscape ; Slash and burn agriculture ; Tropical zone
  • for elements such as potassium and calcium. A principal component analysis allowed differentiation between the contributions of different sources and different element to the total deposition impact in most cases. Specific deposition rates were recorded
  • for different land use systems. The main factor that generated different deposition patterns was biomass burning resulting from slash-and-burn activities.
  • 2013
  • A spatial and temporal analysis of different periglacial materials by using geoelectrical, seismic and borehole temperature data at Murtèl–Corvatsch, Upper Engadin, Swiss Alps
  • To detect the small-scale variations of permafrost characteristics and its varying sensitivity to climate influencing factors, 2 electrical resistivity tomography (ERT) and refraction seismic tomography (RST) monitoring profiles were installed
  • 2013
  • Studying the relationship between water-induced soil erosion and soil organic matter using Vis–NIR spectroscopy and geomorphological analysis : A case study in southern Italy
  • Calabria ; Geostatistics ; Italy ; Least squares method ; Mediterranean area ; Model ; Mountain ; Organic materials ; Soil erosion ; Spectral analysis ; Spectral reflectance ; Water erosion ; Watershed
  • were used as validation set. The optimum number of factors to retain in the calibration model was determined by cross validation. The results showed that zones with low content of SOM are affected by water erosion processes.
  • 2013
  • Brittany ; Coastal environment ; Demographic change ; Factor analysis ; France ; Land utilisation ; Municipality ; Population ; Settlement ; Typology ; Urban area
  • 2013
  • Badland ; Bibliography ; Experimentation ; Mediterranean area ; Methodology ; Qualitative analysis ; Rainfall simulation ; Soil erosion ; Space time ; Water erosion
  • simulations are well suited to 1) analyse runoff-infiltration processes and sediment detachment within badlands, and 2) to establish the factors determining the hydrological and erosion response at interrill scale in badland areas. Rainfall simulations
  • 2013
  • . It is found, however, that this effect is severely mitigated by two factors. First, it decreases when aggregate homeownership rates are higher. Thus, homeowners have larger job tenures, but more so in countries with low homeownership rates. Second, transaction
  • 2013
  • [b2] CPB Netherlands Bureau for Economic Policy Analysis, The Hague, Pays-Bas
  • Alterite ; Chemical erosion ; Chiapas ; Climate ; Erosion rate ; Geochemistry ; Impact ; Isotope analysis ; Jalisco ; Mexico ; Mountain ; North America ; Puerto Rico ; Regolith ; Statistical bias ; Weathering
  • to weathering at depth. If this effect is ignored, denudation rates inferred from cosmogenic nuclides will be too low. The AA. derive a general expression, termed the chemical erosion factor, or CEF, which corrects for biases introduced by both deep and near
  • 2013
  • Arctic Region ; Asian part of Russia ; Climatic change ; Cold area ; Eastern Siberia ; Geochemistry ; Holocene ; Hydroclimatology ; Ice wedge ; Isotope analysis ; Lake ; Palaeolimnology ; Periglacial features ; Permafrost ; Polar region ; Thawing
  • The aim of this paper is to identify the factors controlling the patterns of deposition, using grain size distribution, organic content, elemental composition and mineralogical composition of a 137 cm long sediment core with a maximum age of ~ 10.9
  • 2013
  • Agropedology ; Germany ; Hessen ; Model ; Soil erosion ; Surface water ; Uncertainty analysis ; Vinegrowing area ; Vulnerability ; Water erosion
  • been employed with the best available data sets on K-, C-, R- and LS-factors. Model results show that soil losses in Hesse vary between 0.5 and 15 tonnes/(ha.year). The mean loss amounts and the sediment delivery ratios for sub-catchments are also
  • 2013
  • Delimiting the Balaton Riviera tourist destination by using network analysis
  • Balaton Lake ; Hungary ; Management ; Network ; Regional analysis ; Tourism ; Tourist site
  • 2013