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Selection: with tag data-transformation-modelling [69 articles] 

 

To model or not to model, that is no longer the question for ecologists

  
Ecosystems, Vol. 20, No. 2. (2017), pp. 222-228, https://doi.org/10.1007/s10021-016-0068-x

Abstract

Here, I argue that we should abandon the division between “field ecologists” and “modelers,” and embrace modeling and empirical research as two powerful and often complementary approaches in the toolbox of 21st century ecologists, to be deployed alone or in combination depending on the task at hand. As empirical research has the longer tradition in ecology, and modeling is the more recent addition to the methodological arsenal, I provide both practical and theoretical reasons for integrating modeling more deeply into ecosystem ...

 

Describing wildland surface fuel loading for fire management: a review of approaches, methods and systems

  
International Journal of Wildland Fire, Vol. 22, No. 1. (2013), 51, https://doi.org/10.1071/wf11139

Abstract

Wildland fuelbeds are exceptionally complex, consisting of diverse particles of many sizes, types and shapes with abundances and properties that are highly variable in time and space. This complexity makes it difficult to accurately describe, classify, sample and map fuels for wildland fire research and management. As a result, many fire behaviour and effects software prediction systems use a generalised description of fuels to simplify data collection and entry into various computer programs. There are several major fuel description systems currently ...

 

Europe’s Joint Research Centre, although improving, must think bigger

  
Nature, Vol. 550, No. 7674. (3 October 2017), pp. 8-8, https://doi.org/10.1038/550008a

Abstract

External report criticizes lack of exploratory research. [Excerpt] The European Union’s Joint Research Centre (JRC) uses the label EU Science Hub now. Whether the rebranding will increase its profile is one question. What science gets done inside this hub is another. In response to that query, there is some positive news. It is doing what it should be, and doing it well: collecting scientific and technical evidence in support of EU policies. That’s according to the report of an external evaluation released ...

 

Retrieval of forest fuel moisture content using a coupled radiative transfer model

  
Environmental Modelling & Software, Vol. 95 (September 2017), pp. 290-302, https://doi.org/10.1016/j.envsoft.2017.06.006

Abstract

Forest fuel moisture content (FMC) dynamics are paramount to assessing the forest wildfire risk and its behavior. This variable can be retrieved from remotely sensed data using a radiative transfer model (RTM). However, previous studies generally treated the background of forest canopy as soil surface while ignored the fact that the soil may be covered by grass canopy. In this study, we focused on retrieving FMC of such forestry structure by coupling two RTMs: PROSAIL and PRO-GeoSail. The spectra of lower ...

 

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. ...

 

2D Euclidean distance transform algorithms: a comparative survey

  
ACM Computing Surveys, Vol. 40, No. 1. (February 2008), pp. 1-44, https://doi.org/10.1145/1322432.1322434

Abstract

The distance transform (DT) is a general operator forming the basis of many methods in computer vision and geometry, with great potential for practical applications. However, all the optimal algorithms for the computation of the exact Euclidean DT (EDT) were proposed only since the 1990s. In this work, state-of-the-art sequential 2D EDT algorithms are reviewed and compared, in an effort to reach more solid conclusions regarding their differences in speed and their exactness. Six of the best algorithms were fully implemented ...

 

A general algorithm for computing distance transforms in linear time

  
Mathematical Morphology and its Applications to Image and Signal Processing In Mathematical Morphology and its Applications to Image and Signal Processing, Vol. 18 (2000), pp. 331-340, https://doi.org/10.1007/0-306-47025-x_36

Abstract

A new general algorithm for computing distance transforms of digital images is presented. The algorithm consists of two phases. Both phases consist of two scans, a forward and a backward scan. The first phase scans the image column-wise, while the second phase scans the image row-wise. Since the computation per row (column) is independent of the computation of other rows (columns), the algorithm can be easily parallelized on shared memory computers. The algorithm can be used for the computation of the ...

 

Detecting long-range correlations with detrended fluctuation analysis

  
Physica A: Statistical Mechanics and its Applications, Vol. 295, No. 3-4. (June 2001), pp. 441-454, https://doi.org/10.1016/s0378-4371(01)00144-3

Abstract

We examine the detrended fluctuation analysis (DFA), which is a well-established method for the detection of long-range correlations in time series. We show that deviations from scaling which appear at small time scales become stronger in higher orders of DFA, and suggest a modified DFA method to remove them. The improvement is necessary especially for short records that are affected by non-stationarities. Furthermore, we describe how crossovers in the correlation behavior can be detected reliably and determined quantitatively and show how ...

 

Hole-filled SRTM for the globe Version 4

  
In CGIAR Consortium for Spatial Information (CGIAR-CSI) (2008)

Abstract

[Excerpt: Introduction] The SRTM digital elevation data provided on this site has been processed to fill data voids, and to facilitate it’s ease of use by a wide group of potential users. This data is provided in an effort to promote the use of geospatial science and applications for sustainable development and resource conservation in the developing world. Digital elevation models (DEM) for the entire globe, covering all of the countries of the world, are available for download on this site. [\n] The ...

 

Smooth interpolation of scattered data by local thin plate splines

  
Computers & Mathematics with Applications, Vol. 8, No. 4. (1982), pp. 273-281, https://doi.org/10.1016/0898-1221(82)90009-8

Abstract

An algorithm and the corresponding computer program for solution of the scattered data interpolation problem is described. Given points (xk, yk, fk), k = 1,…,N a locally defined function F(x, y) which has the property F(xk, yk) = fk, k = 1,…,N is constructed. The algorithm is based on a weighted sum of locally defined thin plate splines, and yields an interpolation function which is differentiable. The program is available from the author. ...

 

Connecting models, data, and concepts to understand fragmentation's ecosystem-wide effects

  
Ecography, Vol. 40, No. 1. (January 2017), pp. 1-8, https://doi.org/10.1111/ecog.02974

Abstract

[Excerpt: Conclusions] The body of experimental and theoretical work that has accumulated on the problem of habitat fragmentation has slowly matured over the years, and this Special Issue highlights this growth. Yet, it also provides a springboard to the new frontiers in fragmentation research. These areas include in particular the interplay between evolutionary and metacommunity dynamics with fragments, and this interface should be the subject of inquiry that integrates theory, experiment, and observation with resources at hand. New large-scale, experimental research should ...

 

Multivariate binary discrimination by the kernel method

  
Biometrika, Vol. 63, No. 3. (1 December 1976), pp. 413-420, https://doi.org/10.1093/biomet/63.3.413

Abstract

An extension of the kernel method of density estimation from continuous to multivariate binary spaces is described. Its simple nonparametric nature together with its consistency properties make it an attractive tool in discrimination problems, with some advantages over already proposed parametric counterparts. The method is illustrated by an application to a particular medical diagnostic problem. Simple extensions of the method to categorical data and to data of mixed binary and continuous form are indicated. ...

 

Can one take the logarithm or the sine of a dimensioned quantity or a unit? Dimensional analysis involving transcendental functions

  
Journal of Chemical Education, Vol. 88, No. 1. (1 January 2011), pp. 67-70, https://doi.org/10.1021/ed1000476

Abstract

The fate of dimensions of dimensioned quantities that are inserted into the argument of transcendental functions such as logarithms, exponentiation, trigonometric, and hyperbolic functions is discussed. Emphasis is placed on common misconceptions that are not often systematically examined in undergraduate courses of physical sciences. The argument of dimensional inhomogeneity of the terms of a Taylor expansion of a transcendental function presented in some nonpeer-reviewed popular Internet sites is shown to be false. ...

 

Bias correction of the ENSEMBLES high-resolution climate change projections for use by impact models: evaluation on the present climate

  
Journal of Geophysical Research, Vol. 116, No. D16. (18 August 2011), https://doi.org/10.1029/2011jd015934

Abstract

A statistical bias correction technique is applied to a set of high-resolution climate change simulations for Europe from 11 state-of-the-art regional climate models (RCMs) from the project ENSEMBLES. Modeled and observed daily values of mean, minimum and maximum temperature and total precipitation are used to construct transfer functions for the period 1961–1990, which are then applied to the decade 1991–2000, where the results are evaluated. By using a large ensembles of model runs and a long construction period, we take into ...

 

Bias correction of the ENSEMBLES high resolution climate change projections for use by impact models: analysis of the climate change signal

  
Journal of Geophysical Research: Atmospheres, Vol. 117, No. D17. (16 September 2012), D17110, https://doi.org/10.1029/2012jd017968

Abstract

A statistical bias correction technique is applied to twelve high-resolution climate change simulations of temperature and precipitation over Europe, under the SRES A1B scenario, produced for the EU project ENSEMBLES. The bias correction technique is based on a transfer function, estimated on current climate, which affects the whole Probability Distribution Function (PDF) of variables, and which is assumed constant between the current and future climate. The impact of bias correction on 21st Century projections, their inter-model variability, and the climate change ...

 

Wildfire modeling in GRASS GIS

  
(April 2014)

Abstract

[Description] This paper introduces implementation of wildfire modeling tool for GRASS GIS named r.fire.spread based on existing r.ros and r.spread modules which were reviewed as part of this project. The new tools was tested in the Lewis Mountain study area in Shenandoah National Park in Virginia and compared to an actual fire which happened in the area in April 2006. [Excerpt: Introduction] The core of wildre spread modeling in GRASS GIS [Neteler et al. 2012] consists of two modules r.ros and r.spread [Xu 1994]. ...

References

  1. Anderson, H.E., 1982. Aids to determining fuel models for estimating fire behavior. In: The Bark Beetles, Fuels, and Fire Bibliography, p.143. http://www.fs.fed.us/rm/pubs_int/int_gtr122.pdf , INRMM-MiD:12114185 .
  2. Clements, C.B., Perna, R., Jang, M., Lee, D., Patel, M., Street, S., Zhong, S., Goodrick, S., Li, J., Potter, B.E., Bian, X., 2007. Observing the dynamics of wildland grass fires: FireFlux-A field validation experiment. Bulletin of the American Meteorological Society 88(9), 1369-1382. https://doi.org/10.1175/BAMS-88-9-1369 .
 

A global 1-km consensus land-cover product for biodiversity and ecosystem modelling

  
Global Ecology and Biogeography, Vol. 23, No. 9. (1 September 2014), pp. 1031-1045, https://doi.org/10.1111/geb.12182

Abstract

[Aim] For many applications in biodiversity and ecology, existing remote sensing-derived land-cover products have limitations due to among-product inconsistency and their typically non-continuous nature. Here we aim to help address these shortcomings by generating a 1-km resolution global product that provides scale-integrated and accuracy-weighted consensus land-cover information on an approximately continuous scale. [Location] Global. [Methods] Using a generalized classification scheme and an accuracy-based integration approach, we integrated four global land-cover products. We evaluated the performance of this product compared with inputs for estimating subpixel 30-m resolution ...

 

Multi-scale land-use disaggregation modelling: concept and application to EU countries

  
Environmental Modelling & Software, Vol. 82 (August 2016), pp. 183-217, https://doi.org/10.1016/j.envsoft.2016.04.028

Abstract

[Highlights] [::] Development of a scale independent model to disaggregate land use data. [::] Generate high resolution maps for crops cultivated in EU-28. [::] Validation of model results by comparison with detailed survey data. [Abstract] Changes of carbon stocks in agricultural soils, emissions of greenhouse gases from agriculture, and the delivery of ecosystem services of agricultural landscapes depend on combinations of land-use, livestock density, farming practices, climate and soil types. Many environmental processes are highly non-linear. If the analysis of the environmental impact is based on ...

 

An integrated pan-tropical biomass map using multiple reference datasets

  
Global Change Biology, Vol. 22, No. 4. (April 2016), pp. 1406-1420, https://doi.org/10.1111/gcb.13139

Abstract

We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to 14 477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging that incorporates and spatializes the biomass patterns ...

 

Topographic position and landforms analysis

  
In ESRI International User Conference (2001)

Abstract

[Excerpt: Introduction] Many physical and biological processes acting on the landscape are highly correlated with topographic position: a hilltop, valley bottom, exposed ridge, flat plain, upper or lower slope, and so on. Examples of these processes include soil erosion and deposition; hydrological balance and response; wind exposure; and cold air drainage. These biophysical attributes in turn are key predictors of habitat suitability, community composition, and species distribution and abundance. This poster presents an algorithm, implemented in GRID, for generating a multi-scale Topographic Position Index, classifying this index into slope position and ...

 

Landform classification for site evaluation and forest planning: integration between scientific approach and traditional concept

  
Sains Malaysiana, Vol. 43, No. 3. (2014), pp. 349-358

Abstract

In this paper, we present an automated classification method of landform elements using an application of SAGA GIS software. The spatial assessment was done on the Yambaru forest area (YFA) in the northernmost part of Okinawa Island, Japan. This task is performed through the detailed elevation grid analyses from DTM of YFA with a spatial scale of 10 × 10 m2 supported by The Geospatial Information Authority of Japan. The classification has ten classes; high ridges, midslope ridges, upland drainage, upper ...

 

Binless strategies for estimation of information from neural data

  
Physical Review E, Vol. 66, No. 5. (11 November 2002), 051903, https://doi.org/10.1103/physreve.66.051903

Abstract

We present an approach to estimate information carried by experimentally observed neural spike trains elicited by known stimuli. This approach makes use of an embedding of the observed spike trains into a set of vector spaces, and entropy estimates based on the nearest-neighbor Euclidean distances within these vector spaces [L. F. Kozachenko and N. N. Leonenko, Probl. Peredachi Inf. 23, 9 (1987)]. Using numerical examples, we show that this approach can be dramatically more efficient than standard bin-based approaches such as ...

 

A tutorial on independent component analysis

  
(11 Apr 2014)

Abstract

Independent component analysis (ICA) has become a standard data analysis technique applied to an array of problems in signal processing and machine learning. This tutorial provides an introduction to ICA based on linear algebra formulating an intuition for ICA from first principles. The goal of this tutorial is to provide a solid foundation on this advanced topic so that one might learn the motivation behind ICA, learn why and when to apply this technique and in the process gain an introduction to this exciting field of active research. [Excerpt: ...

 

Resource disambiguator for the web: extracting biomedical resources and their citations from the scientific literature

  
PLoS ONE, Vol. 11, No. 1. (5 January 2016), e0146300, https://doi.org/10.1371/journal.pone.0146300

Abstract

The NIF Registry developed and maintained by the Neuroscience Information Framework is a cooperative project aimed at cataloging research resources, e.g., software tools, databases and tissue banks, funded largely by governments and available as tools to research scientists. Although originally conceived for neuroscience, the NIF Registry has over the years broadened in the scope to include research resources of general relevance to biomedical research. The current number of research resources listed by the Registry numbers over 13K. The broadening in scope ...

 

The integration of land change modeling framework FUTURES into GRASS GIS 7

  
In Free and Open Source Software for Geospatial - Open innovation for Europe, Vol. 12 (2015), pp. 21-24

Abstract

Many valuable models and tools developed by scientists are often inaccessible to their potential users because of non-existent sharing infrastructure or lack of documentation. Case in point is the FUTure Urban-Regional Environment Simulation (FUTURES), a patch-based land change model for generating scenario-based regional forecasts of urban growth pattern. Despite a high- impact publication, few scientists, planners, or policy makers have adopted FUTURES due to complexity in use and lack of direct access. We seek to address these issues by integrating FUTURES into GRASS GIS, a free and open source ...

References

  1. Bivand, R. (2007). Using the R–Grass interface. OSGeo Journal, 1, 36-38.
  2. Chemin, Y Petras, V., Petrasova, A., Landa, M., Gebbert, S., Zambelli, P., Neteler, M., Löwe, P., Di Leo, M. (2015). GRASS GIS: a peer-reviewed scientific platform and future research repository. Geophysical Research Abstracts 17, 8314+. INRMM-MiD:13544126
  3. Di Leo, M., de Rigo, D., Rodriguez-Aseretto, D., Bosco, C., Petroliagkis, T., Camia, A., San-Miguel-Ayanz, J. (2013). Dynamic data driven ensemble for wildfire behaviour
 

Is my species distribution model fit for purpose? Matching data and models to applications

  
Global Ecology and Biogeography, Vol. 24, No. 3. (February 2015), pp. 276-292, https://doi.org/10.1111/geb.12268

Abstract

Species distribution models (SDMs) are used to inform a range of ecological, biogeographical and conservation applications. However, users often underestimate the strong links between data type, model output and suitability for end-use. We synthesize current knowledge and provide a simple framework that summarizes how interactions between data type and the sampling process (i.e. imperfect detection and sampling bias) determine the quantity that is estimated by a SDM. We then draw upon the published literature and simulations to illustrate and evaluate the ...

Visual summary

 

The pathologies of big data

  
Commun. ACM, Vol. 52, No. 8. (August 2009), pp. 36-44, https://doi.org/10.1145/1536616.1536632

Abstract

Scale up your datasets enough and your apps come undone. What are the typical problems and where do the bottlenecks surface? ...

 

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 ...

 

Data-based mechanistic modelling of environmental, ecological, economic and engineering systems

  
Environmental Modelling and Software, Vol. 13, No. 2. (April 1998), pp. 105-122, https://doi.org/10.1016/s1364-8152(98)00011-5

Abstract

Mathematical modelling in the natural and engineering sciences is most often dominated by a philosophy of deterministic reductionism. Moreover, many of the ‘simulation' models that emerge from this approach to modelling are very large and so difficult to identify, estimate (i.e. calibrate) and validate in rigorous statistical terms. In this situation, it seems sensible to consider alternative modelling strategies which overtly acknowledge these data-based modelling difficulties and address the very real problems of calibration and validation associated with the dynamic modelling ...

 

Forest fires and adaptation options in Europe

  
Regional Environmental Change, Vol. 16, No. 1. (2016), pp. 21-30, https://doi.org/10.1007/s10113-014-0621-0

Abstract

This paper presents a quantitative assessment of adaptation options in the context of forest fires in Europe under projected climate change. A standalone fire model (SFM) based on a state-of-the-art large-scale forest fire modelling algorithm is used to explore fuel removal through prescribed burnings and improved fire suppression as adaptation options. The climate change projections are provided by three climate models reflecting the SRES A2 scenario. The SFM’s modelled burned areas for selected test countries in Europe show satisfying agreement with ...

 

Architecture of Environmental Risk Modelling: for a faster and more robust response to natural disasters

  
In 3rd Conference of Computational Interdisciplinary Sciences (2014), pp. 46-57

Abstract

Demands on the disaster response capacity of the European Union are likely to increase, as the impacts of disasters continue to grow both in size and frequency. This has resulted in intensive research on issues concerning spatially-explicit information and modelling and their multiple sources of uncertainty. Geospatial support is one of the forms of assistance frequently required by emergency response centres along with hazard forecast and event management assessment. Robust modelling of natural hazards requires dynamic simulations under an array of ...

Visual summary

 

Spatiotemporal patterns of observed bark beetle-caused tree mortality in British Columbia and the western United States

  
Ecological Applications, Vol. 22, No. 7. (October 2012), pp. 1876-1891, https://doi.org/10.1890/11-1785.1

Abstract

Outbreaks of aggressive bark beetle species cause widespread tree mortality, affecting timber production, wildlife habitat, wildfire, forest composition and structure, biogeochemical cycling, and biogeophysical processes. As a result, agencies responsible for forest management in the United States and British Columbia conduct aerial surveys to map these forest disturbances. Here we combined aerial surveys from British Columbia (2001–2010) and the western conterminous United States (1997–2010), produced 1-km2 grids of the area of crown mortality from bark beetle attack, and analyzed spatial and ...

 

Cyberinfrastructure vision for 21st century discovery

  
No. NSF 07-28. (2007)

Abstract

[Executive summary] NSF’s Cyberinfrastructure Vision for 21st Century Discovery is presented in a set of interrelated chapters that describe the various challenges and opportunities in the complementary areas that make up cyberinfrastructure: computing systems, data, information resources, networking, digitally enabled-sensors, instruments, virtual organizations, and observatories, along with an interoperable suite of software services and tools. This technology is complemented by the interdisciplinary teams of professionals that are responsible for its development, deployment and its use in transformative approaches to scientific and ...

 

Process-based modeling of species' distributions: What limits temperate tree species' range boundaries?

  
Ecology, Vol. 88, No. 9. (September 2007), pp. 2280-2291, https://doi.org/10.1890/06-1591.1

Abstract

Niche-based models are widely used to understand what environmental factors determine species' distributions, but they do not provide a clear framework to study the processes involved in defining species' ranges. Here we used a process-based model to identify these processes and to assess the potential distribution of 17 North American boreal/temperate tree species. Using input of only climate and soil properties, the model reproduced the 17 species' distributions accurately. Our results allowed us to identify the climatic factors as well as ...

 

Supplementary materials for: a proposal for an integrated modelling framework to characterise habitat pattern

  
(2014)

Abstract

In Estreguil et al. (Environ Modell Softw 52, 176-191, 2014), an integrated modelling framework is proposed to characterise habitat pattern. The modelling approach is there exemplified by deriving a set of twelve indices aggregated into four categories: general landscape composition, habitat morphology, edge interface and connectivity. The easy and reproducible computability is ensured with the integrated use of publicly available software (GUIDOS free-download software, Conefor free software) and of newly programmed tools. A statistical analysis is then conducted using classical linear ...

 

A fast and unbiased procedure to randomize ecological binary matrices with fixed row and column totals

  
Nature Communications, Vol. 5 (11 June 2014), https://doi.org/10.1038/ncomms5114

Abstract

A well-known problem in numerical ecology is how to recombine presence-absence matrices without altering row and column totals. A few solutions have been proposed, but all of them present some issues in terms of statistical robustness (that is, their capability to generate different matrix configurations with the same probability) and their performance (that is, the computational effort that they require to generate a null matrix). Here we introduce the ‘Curveball algorithm’, a new procedure that differs from existing methods in that ...

 

Connectivity of Natura 2000 forest sites in Europe

  
F1000Posters, Vol. 2014, No. 5. (Jun 2014), 485, https://doi.org/10.6084/m9.figshare.1063300

Abstract

[Background/Purpose]: In the context of the European Biodiversity policy, the Green Infrastructure Strategy is one supporting tool to mitigate fragmentation, inter-alia to increase the spatial and functional connectivity between protected and unprotected areas. The Joint Research Centre has developed an integrated model to provide a macro-scale set of indices to evaluate the connectivity of Natura 2000 network, which forms the backbone of a Green Infrastructure for Europe. The model allows a wide assessment and comparison to be performed across country in terms ...

References

  1. Bennett, J., 2010. OpenStreetMap. Packt Publishing. ISBN: 978-1-84719-750-4
  2. Bennett, G., Bento Pais, R., Berry, P Didicescu, P. S., Fichter, M., Hlavᡠ, V., Hoellen, K., Jones-Walters, L., Miko, L., Onida, M., Plesník, J., Smith, D., Wakenhut, F., 2010. Green Infrastructure Implementation: Proceedings of the European Commission Conference 19 November 2010. (Ed: Karhu, J.). European Commission, 28 pp. http://ec.europa.eu/environment/nature/ecosystems/green_infrastructure.htm
  3. de Rigo, D., 2012. Applying semantic constraints to array programming: the
 

Surface Temperatures at the Continental Scale: Tracking Changes with Remote Sensing at Unprecedented Detail

  
Remote Sensing, Vol. 6, No. 5. (28 April 2014), pp. 3822-3840, https://doi.org/10.3390/rs6053822

Abstract

Temperature is a main driver for most ecological processes, and temperature time series provide key environmental indicators for various applications and research fields. High spatial and temporal resolutions are crucial for detailed analyses in various fields of research. A disadvantage of temperature data obtained by satellites is the occurrence of gaps that must be reconstructed. Here, we present a new method to reconstruct high-resolution land surface temperature (LST) time series at the continental scale gaining 250-m spatial resolution and four daily ...

 

Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends

  
Q.J.R. Meteorol. Soc. (1 February 2014), pp. n/a-n/a, https://doi.org/10.1002/qj.2297

Abstract

Incomplete global coverage is a potential source of bias in global temperature reconstructions if the unsampled regions are not uniformly distributed over the planet's surface. The widely used Hadley Centre–Climatic Reseach Unit Version 4 (HadCRUT4) dataset covers on average about 84% of the globe over recent decades, with the unsampled regions being concentrated at the poles and over Africa. Three existing reconstructions with near-global coverage are examined, each suggesting that HadCRUT4 is subject to bias due to its treatment of unobserved ...

 

Climate Outsider Finds Missing Global Warming

  
Science, Vol. 344, No. 6182. (25 April 2014), pp. 348-348, https://doi.org/10.1126/science.344.6182.348

Abstract

Major climate data sets have underestimated the rate of global warming in the last 15 years owing largely to poor data in the Arctic, the planet's fastest warming region. A dearth of temperature stations there is one culprit; another is a data-smoothing algorithm that has been improperly tuning down temperatures there. The findings come from an unlikely source: a crystallographer and graduate student working on the temperature analyses in their spare time. ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 9

  
(February 2014)
Keywords: crataegus-azarolus   crataegus-laevigata   crataegus-monogyna   crataegus-nigra   crataegus-spp   creative-commons   crescentia-cujete   crimean-mountains   crisis   croatia   crocidura-suaveolens   cronartium-ribicola   crop-yield   crops   cross-disciplinary-perspective   crowd-sourcing   crowdfunding   crowdsourcing   crown-copyright   crown-diameter   cryphalus-piceae   cryphonectria-parasitica   crypmmeria-japonica   cryptomeria-fortunei   cryptomeria-japonica   cryptomeria-spp   cryptorhynchus-lapathi   cultivars   cultivated   cultivated-plants   cultural-services   cunninghamia-lanceolata   cupressaceae   cupressus-abramsiana   cupressus-arizonica   cupressus-atlantica   cupressus-bakeri   cupressus-cashmeriana   cupressus-dupreziana   cupressus-funebris   cupressus-goveniana   cupressus-guadalupensis   cupressus-lusitanica   cupressus-macnabiana   cupressus-macrocarpa   cupressus-pygmaea   cupressus-sargentii   cupressus-sempervirens   cupressus-torulosa   curculio-elephas   curiosity   curse-of-dimensionality   cut-timber   cyanobacteria   cyathea-arborea   cyber-security   cybernetics   cyc   cycadopsida   cyclocarya-paliurus   cyclomatic-complexity   cyclone   cyclostationarity   cydonia-oblonga   cylindrocladium-quinqueseptatum   cyprus   cystopteris-spp   cytisus-scoparius   czech-republic   daboecia-cantabrica   dacryodes-excelsa   danube-basin   daphne-blagayana   daphne-cneorum   daphne-laureola   daphne-mezereum   daphne-pontica   daphniphyllum-oldhamii   dasineura-salicis   data   data-acquisition   data-based-mechanistic-modelling   data-breach   data-collection-bias   data-errors   data-fusion   data-heterogeneity   data-integration   data-lineage   data-model-comparison   data-provenance   data-quality   data-scarcity   data-sharing   data-transformation-codelets   data-transformation-modelling   data-transformation-modelling-dynamic   data-uncertainty   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 ). ...

 

Big Data analysis on autopilot?

  
BioData Mining, Vol. 6, No. 1. (2013), 22, https://doi.org/10.1186/1756-0381-6-22

Abstract

Biomedical sciences, especially fields such as genomics, are becoming Big Data fields, driven, to a large extent, simply by the ability to generate enormous data sets. For fields such as biology, where data has traditionally been small, the influx of Big Data, noise and all, has caused a need to rapidly shift research practices. Ways of dealing with these data have led to importing collaborators from statistics, computer science, and physics. However, these new "biologists" are simply not biologists and classically ...

 

A proposal for an integrated modelling framework to characterise habitat pattern

  
Environmental Modelling & Software, Vol. 52 (February 2014), pp. 176-191, https://doi.org/10.1016/j.envsoft.2013.10.011

Abstract

[Highlights] [::] Habitat pattern characterisation as methodological guidance for fragmentation assessments (applied in Europe). [::] Reproducible integration of three landscape models with GIS and semantic array programming. [::] Four families indices: landscape composition, edge interface, habitat morphology and connectivity. [::] New indices: edge interface context of morphological shapes; Power Weighted Probability of Dispersal family for connectivity. [::] Nonlinear statistical correlation analysis based on Brownian Distance Correlation. [Abstract] Harmonized information on habitat pattern, fragmentation and connectivity is one among the reporting needs of the biodiversity policy agenda. This paper ...

 

Software uncertainty in integrated environmental modelling: the role of semantics and open science

  
Geophysical Research Abstracts In European Geosciences Union (EGU) General Assembly 2013, Vol. 15 (Nov 2013), 13292, https://doi.org/10.6084/m9.figshare.155701

Abstract

Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may ...

Visual summary

 

Radar backscatter is not a 'direct measure' of forest biomass

  
Nature Climate Change, Vol. 2, No. 8. (15 July 2012), pp. 556-557, https://doi.org/10.1038/nclimate1601

Abstract

[Excerpt] Accurately mapping forest carbon now has important financial and livelihood implications for many smallholder farmers, businesses, investors, land-use projects and governments. The urgent need to reduce uncertainties in the carbon cycle, the increasing focus on global sustainable forestry, and the international agenda on Reducing Emissions from Deforestation and Forest Degradation (REDD+) has led to the creation of new communities clamouring for robust methods to map forest aboveground biomass (AGB). Satellite radar is often proposed as the best tool to overcome the ...

 

Mastrave

  
In Free Software Directory (October 2011), 8008

Abstract

Mastrave is a free software library written to perform vectorized scientific computing and to be as compatible as possible with both GNU Octave and Matlab computing frameworks, offering general purpose, portable and freely available features for the scientific community. Mastrave is mostly oriented to ease complex modeling tasks such as those typically needed within environmental models, even when involving irregular and heterogeneous data series. [Semantic array programming]. The Mastrave project attempts to allow a more effective, quick interoperability between GNU Octave and Matlab ...

 

Emergent relation between surface vapor conductance and relative humidity profiles yields evaporation rates from weather data

  
Proceedings of the National Academy of Sciences, Vol. 110, No. 16. (16 April 2013), pp. 6287-6291, https://doi.org/10.1073/pnas.1215844110

Abstract

The ability to predict terrestrial evapotranspiration (E) is limited by the complexity of rate-limiting pathways as water moves through the soil, vegetation (roots, xylem, stomata), canopy air space, and the atmospheric boundary layer. The impossibility of specifying the numerous parameters required to model this process in full spatial detail has necessitated spatially upscaled models that depend on effective parameters such as the surface vapor conductance (Csurf). Csurf accounts for the biophysical and hydrological effects on diffusion through the soil and vegetation ...

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

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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.