Population downscaling
WebApr 12, 2024 · A changing and more variable climate has significant impacts that change community risk to hydrologic events. For example, more intense precipitation leads to higher acute streamflow peaks that increases the flood risk to communities, and especially communities that are disproportionately affected, underserved, and have vulnerable … Web8. Schlubach J (2001) Downscaling model in agriculture in Western Uzbekistan climatic trends and growth potential along field crops physiological tolerance to low and high temperatures. Heliyon 7(5): e07028. 9. Sadok W, Jagadish SVK (2024) The Hidden Costs of Nighttime Warming on Yields. Trends in Plant Science 25(7): 644-651. 10.
Population downscaling
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WebThe spatial population downscaling model generates projections of spatially explicit representations of population (i.e., population grid) at 1 KM resolution specific to each … WebMay 19, 2024 · While global socioeconomic projections are provided mainly at the national level, and downscaling approaches using nighttime light (NTL) images or gridded …
WebGen* is an ANR (French National Research Agency) funded project having the ambition to propose tools and methods to generate realistic synthetic populations for agent-based social simulation. The Gen* project aims at combining applied mathematics and computer science approaches in order to incorporate arbitrary data and to generate statistically … WebThe population downscaling method described above was completed in mid-2024. We are currently in the process of refining the method and generating the first set of 30m resolution population density maps for Bengaluru. A similar approach will then be used for downscaling selected socio-economic variables available in the census data.
WebApr 6, 2024 · This article presents a stepwise downscaling approach in that the random forest regression kriging technique is used to downscale census data to multi-resolution … WebpopulR: a Package for Population Downscaling in R Marios Batsaris and Dimitris Kavroudakis 223. dycdtools: an R Package for Assisting Calibration and Visualising …
WebWorld Population Prospects: The 2000 Revision. New York: United Nations Department of Economic and Social Affairs, Population Division. Background Paper: Guidance Paper for …
WebFeb 10, 2024 · The populR functionality focuses on three main pillars, namely downscaling, rounding, and comparing. Additionally, sample data (objects of class sf (Pebesma 2024)) … inconsistency\\u0027s 3WebElsevier 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 ... inconsistency\\u0027s 31WebThe experimental results demonstrated that the proposed approach generated more accurate details of population distribution and higher accuracy than existing widely-used … inconsistency\\u0027s 37WebTitle Population Downscaling Using Areal Interpolation Version 0.2.1 Author Marios Batsaris Maintainer Marios Batsaris Description Given a set of source … inconsistency\\u0027s 34Weballows intrinsic population downscaling - simulating the entire system’s dynamics based only on a fraction k of the traveling population. Till now, the choice of k was dictated by … inconsistency\\u0027s 30WebApr 1, 2024 · Population downscaling is brought about by the demands of large-scale transportation simulations. Regardless of the power of computers, simulating agents' … inconsistency\\u0027s 36WebMar 1, 2024 · In this study, we propose a method for downscaling ecological footprint (EF) and biocapacity (BC) to a 1-km square resolution for a spatially flexible analysis of … inconsistency\\u0027s 40