Population downscaling
http://jal.xjegi.com/article/2024/1674-6767/1674-6767-15-4-424.shtml WebPublication Year Category Geography Website ; Mekbeb, E.T., Lilieholm, R.J., Blahna, D.J. and Kruger, L.E., 2009. Resource use, dependence and vulnerability ...
Population downscaling
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WebRachel is a penultimate Actuarial Science undergraduate student with a passion for developing business and growth strategies; having a deep interest in consulting, partnerships & growth, actuarial and data-related fields. She's actively participating in case competitions and currently serving as the Head of Business Development at AIESEC UI. … WebUsing different satellite images and observational data, this study investigated the changes in the lake for the period 1970-2024 based on the effects of climate change and several human-induced processes on Lake Urmia, such as population growth, excessive dam construction, low irrigation water use efficiency, poor water resources management, …
WebDr Fakhruddin is an expert climate change risk assessor with 20 years’ global experience in working on disaster risk and climate resilience projects. This experience is a major advantage in climate change adaptation and mitigation strategy development. His key areas of expertise are climate and multi-hazard risk assessment, disaster preparedness, early … WebIf it scales linearly with the regional population, the country and region will have the same growth rates. Population Downscaling Discontinuities: Artifacts arise with the present …
Webincluding population counts (src) and individual buildings attributed by the number of floors (trg) from a small part of the city of Mytilini, Greece, are also available for further … WebElsevier December 17, 2024. The high dimensionality of predictor variables reduces the predictive accuracy of statistical downscaling models. Principal component analysis (PCA) is one of the extensively used approaches for reducing the dimensionality of the predictors. However, PCA reduces the efficiency of downscaling models when a nonlinear ...
WebMar 16, 2024 · Background: Spatial population models are important to inform understanding of historical demographic development patterns and to project possible …
WebCurrent SSP spatial population projections were modeled at 1/8-degree grid cells. For studies requiring data with a finer spatial resolution, this technical note presents a simple … east china sea resortsWebHamidreza Zoraghein, Brian C. O’Neill, A spatial population downscaling model for integrated human-environment analysis in the United States, Demographic Research, Vol. … east china skyward loginWebDynamical downscaling of GCM outputs better resolves regional climate and thus provides improved guidance for climate policy at regional scales. ... accounts for population exposure when assessing changes to air quality by combining annual average, multi-pollutant assessments of air pollution similarly to traditional air quality indexes (AQI ... east china shipbuilding institute factoryWebJun 23, 2024 · These fine-scale population data are derived downscaling Census data using satellite-derived measures, such as land cover, elevation, lights at night, and geographical … east china sinking fundWebOct 10, 2024 · The fine-scale population downscaling approach is usually based on the grid-based method [41]. This study uses a 0.01 × 0.01 degree grid unit to match the population … east china sea currentWebFeb 10, 2024 · The populR functionality focuses on three main pillars, namely downscaling, rounding, and comparing. Additionally, sample data (objects of class sf (Pebesma 2024)) … cube electric bikes for sale ebayWebDemographic Research cube electric bicycles uk