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  • A review on statistical models for identifying climate contributions to crop yields
  • Adaptation ; Agroclimatology ; Climatic change ; Crop yield ; Impact ; Model ; Space time ; Spatial analysis ; Statistical analysis
  • This paper introduces 3 main statistical methods, i.e., time-series model, cross-section model and panel model, which have been used to identify such issues in the field of agrometeorology. Generally, research spatial scale could be categorized
  • into 2 types using statistical models, including site scale and regional scale (e.g. global scale, national scale, provincial scale and county scale). Four issues exist in identifying response sensitivity of crop yields to climate change by statistical
  • in the section of perspective on the future of statistical models.
  • 2013
  • Suitability analysis of land use records of agricultural and forest land for detecting land use change on the case of the Pomurska Statistical Region
  • Agriculture ; Agroforestry ; Data ; Land use ; Monitoring ; Mura statistical region ; Rural area ; Slovenia ; The 2000's
  • the changing criteria for land use data acquisition. It also analyses land use change in the Pomurska Statistical Region in the period 2002–2011. The main objective was to verify the quality of used datasets for the critical and correct interpretation
  • 2013
  • Deriving probabilistic based climate scenarios using pattern scaling and statistically downscaled data : A case study application from Ireland
  • Climate ; Climatic hazard ; Ireland ; Model ; Monte Carlo analysis ; Precipitation ; Probability ; Scenario ; Statistical analysis ; Temperature ; Uncertainty
  • This paper adopts a technique common in the dynamical climate modelling literature, that of pattern scaling, and applies it to previously available statistically downscaled station level data for Ireland for two climatically relevant variables
  • functions (pdfs) of simulated changes in temperature and precipitation were constructed and compared to the original statistically downscaled data. The methodology and results presented represent a significant contribution to the traditional approach
  • of statistical downscaling through the development of associated likelihoods, rather than just a change in the mean value.
  • 2013
  • Soil erosion under the impacts of future climate change : Assessing the statistical significance of future changes and the potential on-site and off-site problems
  • Climatic change ; Erosion rate ; Land use ; Methodology ; Model ; Northern Ireland ; Scenario ; Soil erosion ; Statistical analysis ; Threshold ; United Kingdom
  • In this study, the AA. develop simple methodologies to assess the statistical significance of future soil erosion rates based on comparing relative changes to natural variability around present-day rates, and determine whether these changes may
  • of climate change are modelled using statistical downscaling methods and a simple sensitivity analysis in the case of sub-daily precipitation data, whilst a scenario approach is taken in order to model the indirect impacts of changing land use and management
  • 2013
  • Early detection of terrorism outbreaks using prospective space–time scan statistics
  • Cluster ; Location ; Political geography ; Probability ; Prospective study ; Risk ; Space time ; Spatial analysis ; Statistics ; Terrorism
  • This research presents an alternative approach for modeling terrorism activity, one that monitors and detects space–time clusters of terrorist incidents using prospective space–time scan statistics. Such clusters provide indicators of potential
  • and life trajectories of these clusters are constructed based on their space–time relationship to each other. Through the life trajectories and trends of clusters, we demonstrate how space–time scan statistics detect terrorism outbreaks at an early stage.
  • 2013
  • Geographical information system ; Inundation ; Land use ; Northern Cape ; Plant cover ; Remote sensing ; South Africa ; Statistical analysis ; Vulnerability ; Watershed
  • The purpose of this study is to determine the hydrological impacts of land use/land cover change in the Harts catchment from 1990 to 2010 using an integration of remote sensing, GIS and statistical methods. The modifications of natural vegetation
  • cover have led to modified runoff production and consequently to changing flow regimes in the Harts catchment. The coupling of surface observations, remote sensing and statistical analysis demonstrated the impacts of changes in land use/land cover
  • 2013
  • A new statistical model for threshold friction velocity of sand particle motion
  • A theoretical formulation of threshold friction velocity of sand particles is established by considering the equilibrium of moment forces acting on an irregular particle following Bagnold's scheme. Owing to the statistical nature
  • 2013
  • Landslide area probability density function statistics to assess historical landslide magnitude and frequency in coastal California
  • Aerial photography ; California ; Coastal environment ; Geographical information system ; Land use ; Landslide ; Natural hazards ; Precipitation ; Slope gradient ; Spatial distribution ; Statistical analysis ; United States of America ; Watershed
  • Landslide area probability density function (PDF) statistics elucidate the landslide magnitude–frequency distribution in a small coastal watershed in central California. Detailed mapping into a GIS and compilation of 2 slide inventories in Walker
  • 2013
  • The geomorphological context and impact of the linear emergent macrophyte, Sparganium erectum L. : a statistical analysis of observations from British rivers
  • Biogeomorphology ; Channel geometry ; England ; Fluvial adjustment ; Impact ; Riparian vegetation ; Statistical analysis ; Stream ; United Kingdom ; Vegetation
  • of descriptive graphs and statistics, principal components analysis, and Kruskal–Wallis tests were used to explore the large multivariate data set collected at the 47 sites. The analyses showed that S. erectum is present in significant quantities in relatively
  • 2013
  • Comparative study ; Demography ; Marriage ; Poland ; Regional disparities ; Social geography ; Spatial differentiation ; Statistical analysis ; The 2000's
  • to values for the linear correlation coefficient. Homogeneous groups of voivodships from the above point of view were identified using agglomerative statistical methods. – (BJ)
  • 2013
  • Economic geography ; Geographic information ; Geographical periodical ; Journal ; Scientific publication ; Spatial analysis ; Spatial statistics ; Transportation geography ; Urban geography
  • and economic geography, transportation geography, spatial statistics, and geographic information science.
  • 2013
  • Firm ; Innovation ; Multivariate analysis ; Social geography ; Statistical analysis ; United States of America
  • metropolitan areas to examine the statistical difference between diversity and tolerance, and compares the effect of each on innovation and entrepreneurship in multivariate analysis. Diversity is measured using the Herfindahl–Hirschman index based on countries
  • 2013
  • Changes in temperature records and extremes : are they statistically significant ?
  • 2013
  • Concept ; Model ; Overland flow ; Sediment transport ; Soil erosion ; Statistical analysis ; Water erosion ; Watershed
  • The suitability of 5 sediment transport capacity functions was evaluated for overland flow conditions using graphical and statistical analysis. The results show that the application of these functions is limited to the range of hydraulic
  • 2013
  • Air mass ; Atmospheric dynamics ; Classification ; Poland ; Seasonal variability ; South-Eastern Poland ; Statistical analysis ; Statistics
  • 2013
  • Digital elevation model ; Error ; Geomorphometry ; LiDAR ; Model ; Remote sensing ; Statistical analysis
  • This work analyzes Minimum Curvature distributions to identify the statistical signature of 2 types of LiDAR-DTM errors (outliers and striping artifacts) in the derived estimates, rather than morphology itself. The analysis shows the importance
  • 2013
  • broad consistency across the alternative tests; although fewer industry clusters test statistically significant for agglomeration or dispersion. Similarly, the observed values for the former statistic test significant over a subset of the spatial scales
  • 2013
  • attributes, climate data, bedrock geology, and land use data were used for mapping the SOC density. Results showed that, the local spatial statistical technique, the GWR can perform better in capturing the spatial distribution of SOC across the study region
  • as compared to other global spatial statistical techniques such as MLR.
  • 2013
  • [b3] Dept. of Geography and Dept. of Statistics, Ohio State Univ., Columbus, Etats-Unis
  • Getting the foundations right : spatial building blocks for official population statistics
  • England ; Household ; Housing ; Population ; Population census ; Postcode ; Spatial analysis ; Statistics ; Street ; United Kingdom ; Wales ; Zoning
  • 2013
  • The article presents the classification of scree slopes in Slovene Alps on the basis of growth conditions and the altitude of thriving of the plants. Twelve scree slopes were analyzed. For the classification the statistical method of classifying
  • 2013