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Selection: with tag ensemble [33 articles] 

 

Geostatistical tools to map the interaction between development aid and indices of need

  
No. 49. (2018)

Abstract

In order to meet and assess progress towards global sustainable development goals (SDGs), an improved understanding of geographic variation in population wellbeing indicators such as health status, wealth and access to resources is crucial, as the equitable and efficient allocation of international aid relies on knowing where funds are needed most. Unfortunately, in many low-income countries, detailed, reliable and timely information on the spatial distribution and characteristics of intended aid recipients are rarely available. Furthermore, lack of information on the past ...

 

Mapping the interaction between development aid and stunting in Nigeria

  
In 28th IUSSP International Population Conference (2017)

Abstract

For meeting sustainable development goals (SDGs) an improved understanding of geographic differences in health status, wealth and access to resources is crucial. The equitable and effcient allocation of international aid relies on knowing where funds are needed most. For instance, aid for poverty alleviation or financial access improvement requires knowledge of where the poor are. Unfortunately, detailed, reliable and timely information on the spatial distribution and characteristics of intended aid recipients in many low income countries are rarely available. This lack ...

References

  1. AidData, 2016. Nigeria AIMS geocoded research release, version 1.3.1. In: AidData Datasets. AidData, Williamsburg, VA and Washington, DC. http://aiddata.org/data/nigeria-aims-geocoded-research-release-level-1-v1-3-1 , http://aiddata.org/research-datasets , INRMM-MiD:14546755
  2. Alegana, V. A., Atkinson, P. M., Pezzulo, C., Sorichetta, A., Weiss, D., Bird, T., Erbach-Schoenberg, E., Tatem, A. J., 2015. Fine resolution mapping of population age-structures for health and development applications. Journal of The Royal Society Interface 12 (105), 20150073+. https://doi.org/10.1098/rsif.2015.0073 , INRMM-MiD:14546782
 

Wildfires

  
In Present and future probability of meteorological and hydrological hazards in Europe (2016), pp. 112-118

Abstract

[Excerpt: Introduction] Uncontrolled forest fires impact both natural and built-up environments as well as humans. The occurrence of a forest fire requires the same basic elements as any fire: heat, oxygen and fuel. Preceding and prevailing weather conditions are crucial for setting conditions susceptible to fire in a forest. Drought, high temperatures and pronounced evaporation dry off organic material in forests, i.e. the fuel. Strong wind during/after ignition substantially intensifies spreading of the fire and raises the likelihood of the surface ...

 

Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results

  
Atmospheric Chemistry and Physics, Vol. 7, No. 24. (11 December 2007), pp. 6085-6098, https://doi.org/10.5194/acp-7-6085-2007

Abstract

In this paper we present an approach for the statistical analysis of multi-model ensemble results. The models considered here are operational long-range transport and dispersion models, also used for the real-time simulation of pollutant dispersion or the accidental release of radioactive nuclides. [\n] We first introduce the theoretical basis (with its roots sinking into the Bayes theorem) and then apply this approach to the analysis of model results obtained during the ETEX-1 exercise. We recover some interesting results, supporting the heuristic approach ...

 

On the systematic reduction of data complexity in multimodel atmospheric dispersion ensemble modeling

  
Journal of Geophysical Research: Atmospheres, Vol. 117, No. D5. (16 March 2012), pp. n/a-n/a, https://doi.org/10.1029/2011jd016503

Abstract

The aim of this work is to explore the effectiveness of theoretical information approaches for the reduction of data complexity in multimodel ensemble systems. We first exploit a weak form of independence, i.e. uncorrelation, as a mechanism for detecting linear relationships. Then, stronger and more general forms of independence measure, such as mutual information, are used to investigate dependence structures for model selection. A distance matrix, measuring the interdependence between data, is derived for the investigated measures, with the scope of ...

 

Resampling methods for meta-model validation with recommendations for evolutionary computation

  
Evolutionary Computation, Vol. 20, No. 2. (16 February 2012), pp. 249-275, https://doi.org/10.1162/evco_a_00069

Abstract

Meta-modeling has become a crucial tool in solving expensive optimization problems. Much of the work in the past has focused on finding a good regression method to model the fitness function. Examples include classical linear regression, splines, neural networks, Kriging and support vector regression. This paper specifically draws attention to the fact that assessing model accuracy is a crucial aspect in the meta-modeling framework. Resampling strategies such as cross-validation, subsampling, bootstrapping, and nested resampling are prominent methods for model validation and ...

 

Combining multiple classifiers: an application using spatial and remotely sensed information for land cover type mapping

  
Remote Sensing of Environment, Vol. 74, No. 3. (December 2000), pp. 545-556, https://doi.org/10.1016/s0034-4257(00)00145-0

Abstract

This article discusses two new methods for increasing the accuracy of classifiers used land cover mapping. The first method, called the product rule, is a simple and general method of combining two or more classification rules as a single rule. Stacked regression methods of combining classification rules are discussed and compared to the product rule. The second method of increasing classifier accuracy is a simple nonparametric classifier that uses spatial information for classification. Two data sets used for land cover mapping ...

 

Bagging ensemble selection for regression

  
In AI 2012: Advances in Artificial Intelligence, Vol. 7691 (2012), pp. 695-706, https://doi.org/10.1007/978-3-642-35101-3_59

Abstract

Bagging ensemble selection (BES) is a relatively new ensemble learning strategy. The strategy can be seen as an ensemble of the ensemble selection from libraries of models (ES) strategy. Previous experimental results on binary classification problems have shown that using random trees as base classifiers, BES-OOB (the most successful variant of BES) is competitive with (and in many cases, superior to) other ensemble learning strategies, for instance, the original ES algorithm, stacking with linear regression, random forests or boosting. Motivated by ...

 

Bagging ensemble selection

  
In AI 2011: Advances in Artificial Intelligence, Vol. 7106 (2011), pp. 251-260, https://doi.org/10.1007/978-3-642-25832-9_26

Abstract

Ensemble selection has recently appeared as a popular ensemble learning method, not only because its implementation is fairly straightforward, but also due to its excellent predictive performance on practical problems. The method has been highlighted in winning solutions of many data mining competitions, such as the Netflix competition, the KDD Cup 2009 and 2010, the UCSD FICO contest 2010, and a number of data mining competitions on the Kaggle platform. In this paper we present a novel variant: bagging ensemble selection. ...

 

BIOMOD - A platform for ensemble forecasting of species distributions

  
Ecography, Vol. 32, No. 3. (1 June 2009), pp. 369-373, https://doi.org/10.1111/j.1600-0587.2008.05742.x

Abstract

BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment relationships. BIOMOD includes the ability to model species distributions with several techniques, test models with a wide range of approaches, project species distributions into different environmental conditions (e.g. climate or land use change scenarios) and dispersal functions. It allows assessing species temporal turnover, plot species response curves, and test the strength of species interactions ...

 

Regional climate hindcast simulations within EURO-CORDEX: evaluation of a WRF multi-physics ensemble

  
Geoscientific Model Development, Vol. 8, No. 3. (16 March 2015), pp. 603-618, https://doi.org/10.5194/gmd-8-603-2015

Abstract

In the current work we present six hindcast WRF (Weather Research and Forecasting model) simulations for the EURO-CORDEX (European Coordinated Regional Climate Downscaling Experiment) domain with different configurations in microphysics, convection and radiation for the time period 1990–2008. All regional model simulations are forced by the ERA-Interim reanalysis and have the same spatial resolution (0.44°). These simulations are evaluated for surface temperature, precipitation, short- and longwave downward radiation at the surface and total cloud cover. The analysis of the WRF ensemble ...

 

Evaluation of optical remote sensing to estimate actual evapotranspiration and canopy conductance

  
Remote Sensing of Environment, Vol. 129 (February 2013), pp. 250-261, https://doi.org/10.1016/j.rse.2012.11.004

Abstract

[Abstract] We compared estimates of actual evapotranspiration (ET) produced with six different vegetation measures derived from the MODerate resolution Imaging Spectroradiometer (MODIS) and three contrasting estimation approaches using measurements from eddy covariance flux towers at 16 FLUXNET sites located over six different land cover types. The aim was to assess optimal approaches in using optical remote sensing to estimate ET. The first two approaches directly regressed various MODIS vegetation indices (VIs) and products such as leaf area index (LAI) and fraction of ...

 

Impacts of uncertainties in European gridded precipitation observations on regional climate analysis

  
Int. J. Climatol., Vol. 37, No. 1. (1 March 2017), pp. 305-327, https://doi.org/10.1002/joc.4706

Abstract

Gridded precipitation data sets are frequently used to evaluate climate models or to remove model output biases. Although precipitation data are error prone due to the high spatio-temporal variability of precipitation and due to considerable measurement errors, relatively few attempts have been made to account for observational uncertainty in model evaluation or in bias correction studies. In this study, we compare three types of European daily data sets featuring two Pan-European data sets and a set that combines eight very high-resolution ...

 

Tales of future weather

  
Nature Climate Change, Vol. 5, No. 2. (28 January 2015), pp. 107-113, https://doi.org/10.1038/nclimate2450

Abstract

Society is vulnerable to extreme weather events and, by extension, to human impacts on future events. As climate changes weather patterns will change. The search is on for more effective methodologies to aid decision-makers both in mitigation to avoid climate change and in adaptation to changes. The traditional approach uses ensembles of climate model simulations, statistical bias correction, downscaling to the spatial and temporal scales relevant to decision-makers, and then translation into quantities of interest. The veracity of this approach cannot ...

 

Application of consensus theory to formalize expert evaluations of plant species distribution models

  
Applied Vegetation Science, Vol. 17, No. 3. (1 July 2014), pp. 528-542, https://doi.org/10.1111/avsc.12081

Abstract

[::Aim] Application of environmental envelope modelling (EEM) for conservation planning requires careful validation. Opinions of experts who have worked with species of interest in the field can be a valuable and independent information source to validate EEM because of their first-hand experience with species occurrence and absence. However, their use in model validation is limited because of the subjectivity of their feedback. In this study, we present a method on the basis of cultural consensus theory to formalize expert model evaluations. [::Methods] We ...

 

Interactive comment (reply to Anonymous Referee 3) on Modelling soil erosion at European scale: towards harmonization and reproducibility - by Bosco et al

  
Natural Hazards and Earth System Sciences Discussions, Vol. 2 (2014), pp. C1786-C1795, https://doi.org/10.6084/m9.figshare.1379902

Abstract

Throughout the public discussion of our article Bosco et al. (Nat. Hazards Earth Syst. Sci. Discuss., 2, 2639-2680, 2014), the Anonymous Referee 3 provided (Nat. Hazards Earth Syst. Sci. Discuss., 2, C1592-C1594, 2014) a variety of insights. This work presents our replies to them. ...

 

Interactive comment (reply to Dino Torri) on Modelling soil erosion at European scale: towards harmonization and reproducibility - by Bosco et al

  
Natural Hazards and Earth System Sciences Discussions, Vol. 2 (2014), pp. C671-C688, https://doi.org/10.6084/m9.figshare.1379901

Abstract

During the public discussion of our article Bosco et al. (Nat. Hazards Earth Syst. Sci. Discuss., 2, 2639-2680, 2014), D. Torri provided numerous insights (Nat. Hazards Earth Syst. Sci. Discuss. 2, C528-C532, 2014). This work offers our replies to them. ...

 

Modelling soil erosion at European scale: towards harmonization and reproducibility

  
Natural Hazards and Earth System Science, Vol. 15, No. 2. (4 February 2015), pp. 225-245, https://doi.org/10.5194/nhess-15-225-2015

Abstract

Soil erosion by water is one of the most widespread forms of soil degradation. The loss of soil as a result of erosion can lead to decline in organic matter and nutrient contents, breakdown of soil structure and reduction of the water-holding capacity. Measuring soil loss across the whole landscape is impractical and thus research is needed to improve methods of estimating soil erosion with computational modelling, upon which integrated assessment and mitigation strategies may be based. Despite the efforts, the ...

 

New untrained aggregation methods for classifier combination

  
In Neural Networks (IJCNN), 2014 International Joint Conference on (July 2014), pp. 617-622, https://doi.org/10.1109/ijcnn.2014.6889810

Abstract

The combined classification is a promising direction in pattern recognition and there are numerous methods that deal with forming classifier ensembles. The most popular approaches employ voting, where the final decision of compound classifier is a combination of individual classifiers' outputs, i.e., class labels or support functions. This paper concentrates on the problem how to design an effective combination rule, which takes into consideration the values of support functions returned by the individual classifiers. Because in many practical tasks we do ...

 

Ecological relevance of performance criteria for species distribution models

  
Ecological Modelling, Vol. 221, No. 16. (10 August 2010), pp. 1995-2002, https://doi.org/10.1016/j.ecolmodel.2010.04.017

Abstract

Species distribution models have often been developed based on ecological data. To develop reliable data-driven models, however, a sound model training and evaluation procedures are needed. A crucial step in these procedures is the assessment of the model performance, with as key component the applied performance criterion. Therefore, we reviewed seven performance criteria commonly applied in presence–absence modelling (the correctly classified instances, Kappa, sensitivity, specificity, the normalised mutual information statistic, the true skill statistic and the odds ratio) and analysed their ...

 

Ensemble based systems in decision making

  
Circuits and Systems Magazine, IEEE, Vol. 6, No. 3. (2006), pp. 21-45, https://doi.org/10.1109/mcas.2006.1688199

Abstract

In matters of great importance that have financial, medical, social, or other implications, we often seek a second opinion before making a decision, sometimes a third, and sometimes many more. In doing so, we weigh the individual opinions, and combine them through some thought process to reach a final decision that is presumably the most informed one. The process of consulting "several experts" before making a final decision is perhaps second nature to us; yet, the extensive benefits of such a ...

 

A survey of multiple classifier systems as hybrid systems

  
Information Fusion, Vol. 16 (March 2014), pp. 3-17, https://doi.org/10.1016/j.inffus.2013.04.006

Abstract

A current focus of intense research in pattern classification is the combination of several classifier systems, which can be built following either the same or different models and/or datasets building approaches. These systems perform information fusion of classification decisions at different levels overcoming limitations of traditional approaches based on single classifiers. This paper presents an up-to-date survey on multiple classifier system (MCS) from the point of view of Hybrid Intelligent Systems. The article discusses major issues, such as diversity and decision ...

 

Modelling soil erosion at European scale: towards harmonization and reproducibility

  
Natural Hazards and Earth System Sciences Discussions, Vol. 2, No. 4. (11 April 2014), pp. 2639-2680, https://doi.org/10.5194/nhessd-2-2639-2014

Abstract

Soil erosion by water is one of the most widespread forms of soil degradation. The loss of soil as a result of erosion can lead to decline in organic matter and nutrient contents, breakdown of soil structure and reduction of the water holding capacity. Measuring soil loss across the whole landscape is impractical and thus research is needed to improve methods of estimating soil erosion with computational modelling, upon which integrated assessment and mitigation strategies may be based. Despite the efforts, ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 13

  
(February 2014)
Keywords: ecophysiology   ecoprovinces   ecosystem   ecosystem-change   ecosystem-conservation   ecosystem-decline   ecosystem-disservices   ecosystem-functions   ecosystem-heterogeneity   ecosystem-invasibility   ecosystem-management   ecosystem-processes   ecosystem-resilience   ecosystem-services   ecotype   edge-effect   edible-plants   editorial   editorial-policy   education   eemian   efdac   effective-gene-flow   effectiveness   effects   efficienct   effis   eficp   efics   efsa   efsa-scientific-opinion   egypt   eichhornia-crassipes   el-nino   elaeagnus-angustifolia   elatobium-abietinum   elderberry-wine   electronics   elevation   eli-identifier   elisa   ellenberg-climatic-quotient   ellenberg-numbers   elm-phloem-necrosis   elsevier   emergency-events   emergency-management   emergent-engineering   emergent-property   emissions   empetrum-nigrum   empirical-equation   emulation   end-of-history-bias   endangered-species   endemic-species   endophtic-fungi   energy   energy-balance   energy-consumption   engineering   england   english   enological-parameters   ensemble   enso   enterolobium-cyclocarpum   entransy   entropy   environment-society-economy   environmental-change   environmental-factors   environmental-management   environmental-modelling   environmental-policy   environmental-politics   environmental-predictors   envisat-asar   enzykl-holzgew-handb-atlas-dendrol   ephedra-distachya   epigaea-gaultherioides   epigenetic-variation   epimedium-alpinum   epinotia-solandriana   epirrita-autumnata   epistemology   eppo   equador   equity   erica-arborea   erica-australis   erica-spp   erica-tetralix   erica-vagans   erodibility   erosion   erosivity   error-clustering   error-spatial-correlation   inrmm-list-of-tags  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Ensemble forecasting of species distributions

  
Trends in Ecology & Evolution, Vol. 22, No. 1. (January 2007), pp. 42-47, https://doi.org/10.1016/j.tree.2006.09.010

Abstract

Concern over implications of climate change for biodiversity has led to the use of bioclimatic models to forecast the range shifts of species under future climate-change scenarios. Recent studies have demonstrated that projections by alternative models can be so variable as to compromise their usefulness for guiding policy decisions. Here, we advocate the use of multiple models within an ensemble forecasting framework and describe alternative approaches to the analysis of bioclimatic ensembles, including bounding box, consensus and probabilistic techniques. We argue ...

 

Consequences of climate change on the tree of life in Europe

  
Nature, Vol. 470, No. 7335. (24 February 2011), pp. 531-534, https://doi.org/10.1038/nature09705

Abstract

Many species are projected to become vulnerable to twenty-first-century climate changes1, 2, with consequent effects on the tree of life. If losses were not randomly distributed across the tree of life, climate change could lead to a disproportionate loss of evolutionary history3, 4, 5. Here we estimate the consequences of climate change on the phylogenetic diversities of plant, bird and mammal assemblages across Europe. Using a consensus across ensembles of forecasts for 2020, 2050 and 2080 and high-resolution phylogenetic trees, we ...

 

Climate assessments: 25 years of the IPCC

  
Nature, Vol. 501, No. 7467. (18 September 2013), pp. 298-299, https://doi.org/10.1038/501298a

Abstract

A graphical tour through the history of the Intergovernmental Panel on Climate Change and the science that underlies it. ...

 

An evaluation of the software system dependency of a global atmospheric model

  
Monthly Weather Review (25 July 2013), https://doi.org/10.1175/mwr-d-12-00352.1

Abstract

Abstract This study presents the dependency of the simulation results from a global atmospheric numerical model on machines with different hardware and software systems. The global model program (GMP) of the Global/Regional Integrated Model system (GRIMs) is tested on 10 different computer systems having different central processing unit (CPU) architectures or compilers. There exist differences in the results for different compilers, parallel libraries, and optimization levels, primarily due to the treatment of rounding errors by the different software systems. The system ...

 

Continental-scale living forest biomass and carbon stock: a robust fuzzy ensemble of IPCC Tier 1 maps for Europe

  
IFIP Advances in Information and Communication Technology, Vol. 413 (2013), pp. 271-284, https://doi.org/10.1007/978-3-642-41151-9_26

Abstract

Forest ecosystems play a key role in the global carbon cycle. Spatially explicit data and assessments of forest biomass and carbon are therefore crucial for designing and implementing effective sustainable forest management options and forest related policies. In this contribution, we present European-wide maps of forest biomass and carbon stock spatially disaggregated at 1km x 1km. The maps originated from a spatialisation improvement of the IPCC methodology for estimating the forest biomass at IPCC Tier 1 level (IPCC-T1). [\n] Using a categorical ...

Visual summary

 

Multi-scale robust modelling of landslide susceptibility: regional rapid assessment and catchment robust fuzzy ensemble

  
IFIP Advances in Information and Communication Technology, Vol. 413 (2013), pp. 321-335, https://doi.org/10.1007/978-3-642-41151-9_31

Abstract

Landslide susceptibility assessment is a fundamental component of effective landslide prevention. One of the main challenges in landslides forecasting is the assessment of spatial distribution of landslide susceptibility. Despite the many different approaches, landslide susceptibility assessment still remains a challenge. A semi-quantitative method is proposed combining heuristic, deterministic and probabilistic approaches for a robust catchment scale assessment. A fuzzy ensemble model has been exploited for aggregating an array of different susceptibility zonation maps. Each susceptibility zonation has been obtained by applying ...

 

An architecture for adaptive robust modelling of wildfire behaviour under deep uncertainty

  
IFIP Advances in Information and Communication Technology, Vol. 413 (2013), pp. 367-380, https://doi.org/10.1007/978-3-642-41151-9_35

Abstract

Wildfires in Europe - especially in the Mediterranean region - are one of the major treats at landscape scale. While their immediate impact ranges from endangering human life to the destruction of economic assets, other damages exceed the spatio-temporal scale of a fire event. Wildfires involving forest resources are associated with intense carbon emissions and alteration of surrounding ecosystems. The induced land cover degradation has also a potential role in exacerbating soil erosion and shallow landslides. A component of the complexity in assessing ...

Visual summary

 

The ECMWF Ensemble Prediction System: Methodology and validation

  
Q.J.R. Meteorol. Soc., Vol. 122, No. 529. (1 January 1996), pp. 73-119, https://doi.org/10.1002/qj.49712252905
Keywords: ensemble   forecast   mathematics   meteorology  

Abstract

The European Centre for Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System (EPS) is described. In addition to an unperturbed (control) forecast, each ensemble comprises 32 10-day forecasts starting from initial conditions in which dynamically defined perturbations have been added to the operational analysis. The perturbations are constructed from singular vectors of a time-evolution operator linearized around the short-range-forecast trajectory. These singular vectors approximately determine the most unstable phase-space directions in the early part of the forecast period, and are estimated using ...

 

Probabilistic cost estimates for climate change mitigation

  
Nature, Vol. 493, No. 7430. (02 January 2013), pp. 79-83, https://doi.org/10.1038/nature11787

Abstract

For more than a decade, the target of keeping global warming below 2 °C has been a key focus of the international climate debate. In response, the scientific community has published a number of scenario studies that estimate the costs of achieving such a target. Producing these estimates remains a challenge, particularly because of relatively well known, but poorly quantified, uncertainties, and owing to limited integration of scientific knowledge across disciplines. The integrated assessment community, on the one hand, has extensively assessed ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/ensemble

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.