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Selection: with tag data-uncertainty [41 articles] 

 

Open geospatial data: an assessment of global boundary datasets

  
In Proceedings of the 20th annual GIS Research UK (GISRUK 2012) (2012), 35

Abstract

[Excerpt: Conclusion] Through comparison of GAUL, GADM and UNSALB boundary datasets we found that each dataset has advantages and drawbacks in terms of accuracy and usability, but overall GAUL was the best dataset due to the accuracy and completeness of the dataset. While UNSALB boundaries have the highest rate of accuracy because of validation with national mapping agencies, it is limited in geographic scope. Although GADM has a global scale, many of the boundaries are outdated and it is unclear whether GADM organizers have utilized public feedback ...

 

Bridging national and reference definitions for harmonizing forest statistics

  
Forest Science (June 2012), pp. 214-223, https://doi.org/10.5849/forsci.10-067

Abstract

Harmonization is the process of making information and estimates comparable across administrative borders. The degree to which harmonization succeeds depends on many factors, including the conciseness of the definitions, the availability and quality of data, and the methods used to convert an estimate according to a local definition to an estimate according to the reference definition. Harmonization requires the availability and use of common reference definitions and methods for converting from estimates based on national definitions to estimates based on reference ...

 

Comparison of methods used in European National Forest Inventories for the estimation of volume increment: towards harmonisation

  
Annals of Forest Science, Vol. 73, No. 4. (2016), pp. 807-821, https://doi.org/10.1007/s13595-016-0554-5

Abstract

[Key message] The increment estimation methods of European NFIs were explored by means of 12 essential NFI features. The results indicate various differences among NFIs within the commonly acknowledged methodological frame. The perspectives for harmonisation at the European level are promising. [Context] The estimation of increment is implemented differently in European National Forest Inventories (NFIs) due to different historical origins of NFIs and sampling designs and field assessments accommodated to country-specific conditions. The aspired harmonisation of increment estimation requires a comparison and an analysis ...

 

Bias correction in species distribution models: pooling survey and collection data for multiple species

  
Methods in Ecology and Evolution, Vol. 6, No. 4. (1 April 2015), pp. 424-438, https://doi.org/10.1111/2041-210x.12242

Abstract

[::] Presence-only records may provide data on the distributions of rare species, but commonly suffer from large, unknown biases due to their typically haphazard collection schemes. Presence–absence or count data collected in systematic, planned surveys are more reliable but typically less abundant. [::] We proposed a probabilistic model to allow for joint analysis of presence-only and survey data to exploit their complementary strengths. Our method pools presence-only and presence–absence data for many species and maximizes a joint likelihood, simultaneously estimating and adjusting ...

 

Point process models for presence-only analysis

  
Methods in Ecology and Evolution, Vol. 6, No. 4. (1 April 2015), pp. 366-379, https://doi.org/10.1111/2041-210x.12352

Abstract

[::] Presence-only data are widely used for species distribution modelling, and point process regression models are a flexible tool that has considerable potential for this problem, when data arise as point events. [::] In this paper, we review point process models, some of their advantages and some common methods of fitting them to presence-only data. [::] Advantages include (and are not limited to) clarification of what the response variable is that is modelled; a framework for choosing the number and location of quadrature ...

 

Robust modelling of the impacts of climate change on the habitat suitability of forest tree species

  
Keywords: abies-alba   array-of-factors   artificial-neural-networks   bioclimatic-predictors   change-factor   climate-change   data-uncertainty   diversity   environmental-modelling   europe   extrapolation-uncertainty   featured-publication   forest-resources   free-scientific-knowledge   free-scientific-software   free-software   fuzzy   gdal   genetic-diversity   geospatial   geospatial-semantic-array-programming   gnu-bash   gnu-linux   gnu-octave   habitat-suitability   integration-techniques   mastrave-modelling-library   maximum-habitat-suitability   modelling-uncertainty   multiplicity   peseta-series   python   regional-climate-models   relative-distance-similarity   robust-modelling   semantic-array-programming   semantic-constraints   semantics   spatial-disaggregation   sres-a1b   supervised-training   unsupervised-training  

Abstract

[::] In Europe, forests play a strategic multifunctional role, serving economic, social and environmental purposes. However, their complex interaction with climate change is not yet well understood. [::] The JRC PESETA project series proposes a consistent multi-sectoral assessment of the impacts of climate change in Europe. [::] Within the PESETA II project, a robust methodology is introduced for modelling the habitat suitability of forest tree species (2071-2100 time horizon). [::] Abies alba (the silver fir) is selected as case study: a main European tree ...

References

  1. European Commission, 2013. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions - A new EU forest strategy: for forests and the forest based sector. No. COM(2013) 659 final. Communication from the Commission to the Council and the European Parliament. http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:52013DC0659 , INRMM-MiD:12642065 .
  2. European Commission, 2013. Commission staff working document accompanying the document: Communication from the commission to
 

Novel climates, no-analog communities, and ecological surprises

  
Frontiers in Ecology and the Environment, Vol. 5, No. 9. (November 2007), pp. 475-482, https://doi.org/10.1890/070037

Abstract

No-analog communities (communities that are compositionally unlike any found today) occurred frequently in the past and will develop in the greenhouse world of the future. The well documented no-analog plant communities of late-glacial North America are closely linked to “novel” climates also lacking modern analogs, characterized by high seasonality of temperature. In climate simulations for the Intergovernmental Panel on Climate Change A2 and B1 emission scenarios, novel climates arise by 2100 AD, primarily in tropical and subtropical regions. These future novel ...

 

Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

  
Ecological Applications, Vol. 19, No. 1. (January 2009), pp. 181-197, https://doi.org/10.1890/07-2153.1

Abstract

Most methods for modeling species distributions from occurrence records require additional data representing the range of environmental conditions in the modeled region. These data, called background or pseudo-absence data, are usually drawn at random from the entire region, whereas occurrence collection is often spatially biased toward easily accessed areas. Since the spatial bias generally results in environmental bias, the difference between occurrence collection and background sampling may lead to inaccurate models. To correct the estimation, we propose choosing background data with ...

 

Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?

  
Global Ecology and Biogeography, Vol. 12, No. 5. (1 September 2003), pp. 361-371, https://doi.org/10.1046/j.1466-822x.2003.00042.x

Abstract

Modelling strategies for predicting the potential impacts of climate change on the natural distribution of species have often focused on the characterization of a species’ bioclimate envelope. A number of recent critiques have questioned the validity of this approach by pointing to the many factors other than climate that play an important part in determining species distributions and the dynamics of distribution changes. Such factors include biotic interactions, evolutionary change and dispersal ability. This paper reviews and evaluates criticisms of bioclimate ...

 

Modeling the probability of resource use: the effect of, and dealing with, detecting a species imperfectly

  
Journal of Wildlife Management, Vol. 70, No. 2. (1 April 2006), pp. 367-374, https://doi.org/10.2193/0022-541x(2006)70[367:mtporu]2.0.co;2

Abstract

Resource-selection probability functions and occupancy models are powerful methods of identifying areas within a landscape that are highly used by a species. One common design/analysis method for estimation of a resource-selection probability function is to classify a sample of units as used or unused and estimate the probability of use as a function of independent variables using, for example, logistic regression. This method requires that resource units are correctly classified as unused (i.e., the species is never undetected in a used ...

 

Five selfish reasons to work reproducibly

  
Genome Biology, Vol. 16, No. 1. (8 December 2015), 274, https://doi.org/10.1186/s13059-015-0850-7

Abstract

And so, my fellow scientists: ask not what you can do for reproducibility; ask what reproducibility can do for you! Here, I present five reasons why working reproducibly pays off in the long run and is in the self-interest of every ambitious, career-oriented scientist. [Excerpt] [::Reproducibility: what's in it for me?] In this article, I present five reasons why working reproducibly pays off in the long run and is in the self-interest of every ambitious, career-oriented scientist. [::] Reason number 1: reproducibility helps to avoid ...

 

More accountability for big-data algorithms

  
Nature, Vol. 537, No. 7621. (21 September 2016), pp. 449-449, https://doi.org/10.1038/537449a

Abstract

To avoid bias and improve transparency, algorithm designers must make data sources and profiles public. [Excerpt] [...] Algorithms, from the simplest to the most complex, follow sets of instructions or learn to accomplish a goal. In principle, they could help to make impartial analyses and decisions by reducing human biases and prejudices. But there is growing concern that they risk doing the opposite, and will replicate and exacerbate human failings [...]. And in an era of powerful computers, machine learning and big data, ...

 

Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network

  
Remote Sensing of Environment, Vol. 121 (June 2012), pp. 323-334, https://doi.org/10.1016/j.rse.2012.02.019

Abstract

[Abstract] Surface albedo is a key parameter in the Earth's energy balance since it affects the amount of solar radiation directly absorbed at the planet surface. Its variability in time and space can be globally retrieved through the use of remote sensing products. To evaluate and improve the quality of satellite retrievals, careful intercomparisons with in situ measurements of surface albedo are crucial. For this purpose we compared MODIS albedo retrievals with surface measurements taken at 53 FLUXNET sites that met strict ...

 

Influence of different species range types on the perception of macroecological patterns

  
Systematics and Biodiversity, Vol. 9, No. 2. (1 June 2011), pp. 159-170, https://doi.org/10.1080/14772000.2011.588726

Abstract

In the face of increasing availability and use of distribution data, large-scale approaches of mapping species distribution patterns have become a central component of development of large-scale conservation policies. Particularly in tropical regions and for non-vertebrate taxa, knowledge on distribution patterns at large spatial extents remains woefully limited. Datasets are often geographically and taxonomically incomplete, have presence-only character and lack abundance information. One intermediate step for the application of such data common to most approaches is the construction of species geographic ...

 

An assessment of methods and remote-sensing derived covariates for regional predictions of 1 km daily maximum air temperature

  
Remote Sensing, Vol. 6, No. 9. (16 September 2014), pp. 8639-8670, https://doi.org/10.3390/rs6098639

Abstract

The monitoring and prediction of biodiversity and environmental changes is constrained by the availability of accurate and spatially contiguous climatic variables at fine temporal and spatial grains. In this study, we evaluate best practices for generating gridded, one-kilometer resolution, daily maximum air temperature surfaces in a regional context, the state of Oregon, USA. Covariates used in the interpolation include remote sensing derived elevation, aspect, canopy height, percent forest cover and MODIS Land Surface Temperature (LST). Because of missing values, ...

 

Modelling as a discipline

  
International Journal of General Systems, Vol. 30, No. 3. (1 January 2001), pp. 261-282, https://doi.org/10.1080/03081070108960709

Abstract

Modelling is an essential and inseparable part of all scientific, and indeed all intellectual, activity. How then can we treat it as a separate discipline? The answer is that the professional modeller brings special skills and techniques to bear in order to produce results that are insightful, reliable, and useful. Many of these techniques can be taught formally, such as sophisticated statistical methods, computer simulation, systems identification, and sensitivity analysis. These are valuable tools, but they are not as important as ...

 

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 ...

 

European atlas of forest tree species

  
Keywords: bioeconomy   chorology   classification   climate   constrained-spatial-multi-frequency-analysis   data-heterogeneity   data-integration   data-uncertainty   disasters   disturbances   ecological-zones   ecology   ecosystem-services   europe   floods   forest-fires   forest-pests   forest-resources   free-software   geospatial   geospatial-semantic-array-programming   gis   gnu-bash   gnu-linux   gnu-octave   habitat-suitability   integrated-modelling   integrated-natural-resources-modelling-and-management   integration-techniques   knowledge-integration   landslides   mastrave-modelling-library   modelling-uncertainty   open-data   paleoecology   relative-distance-similarity   reproducible-research   review   science-policy-interface   science-society-interface   semantic-array-programming   semantic-constraints   semantics   semap   software-uncertainty   soil-erosion   soil-resources   species-distribution   tree-species   uncertainty   water-resources   windstorm  

Abstract

[Excerpt] The European Atlas of Forest Tree Species is the first comprehensive publication of such a unique and essential environmental resource, that is, our trees. Leading scientists and forestry professionals have contributed in the many stages of the production of this atlas, through the collection of ground data on the location of tree species, elaboration of the distribution and suitability maps, production of the photographic material and compilation of the different chapters. The European Atlas of Forest Tree Species is both ...

 

An indicator framework for assessing ecosystem services in support of the EU Biodiversity Strategy to 2020

  
Ecosystem Services, Vol. 17 (February 2016), pp. 14-23, https://doi.org/10.1016/j.ecoser.2015.10.023

Abstract

[Highlights] [::] EU Member states have to map and assess ecosystems and their services (MAES). [::] We present the MAES conceptual model which links biodiversity to human wellbeing. [::] Typologies of ecosystems and their services ensure comparability across countries. [::] We present a list of indicators that can be used for national MAES assessments. [::] We critically discuss the data gaps and challenges of the MAES typologies. [Abstract] In the EU, the mapping and assessment of ecosystems and their services, abbreviated to MAES, is seen as a key ...

Visual summary


 

On the extinction of craft skills with numbers - The case of “Overall, 7.9% of species are predicted to become extinct from climate change.”

  
(December 2015)

Abstract

[Excerpt: Introduction] [\n] This paper is about craft skills with numbers and, in particular, about problems with the use of numbers of unknown pedigree. As an example, I will discuss a very striking number that appeared in the mainstream press in early May 20152: a new scientific study was reported to have found that 7.9% of species would become extinct as a result of climate change. What was quite remarkable about this number is that it had two digits: not 10%, not ...

 

Enviro-Net: from networks of ground-based sensor systems to a web platform for sensor data management

  
Sensors, Vol. 11, No. 6. (17 June 2011), pp. 6454-6479, https://doi.org/10.3390/s110606454

Abstract

Ecosystems monitoring is essential to properly understand their development and the effects of events, both climatological and anthropological in nature. The amount of data used in these assessments is increasing at very high rates. This is due to increasing availability of sensing systems and the development of new techniques to analyze sensor data. The Enviro-Net Project encompasses several of such sensor system deployments across five countries in the Americas. These deployments use a few different ground-based sensor systems, installed at different ...

 

Consistent and clear reporting of results from diverse modeling techniques: the A3 method

  
Journal of Statistical Software, Vol. 66, No. 7. (2015), https://doi.org/10.18637/jss.v066.i07

Abstract

The measurement and reporting of model error is of basic importance when constructing models. Here, a general method and an R package, A3, are presented to support the assessment and communication of the quality of a model fit along with metrics of variable importance. The presented method is accurate, robust, and adaptable to a wide range of predictive modeling algorithms. The method is described along with case studies and a usage guide. It is shown how the method can be used ...

 

Accurately measuring model prediction error

  
(2012)

Abstract

When assessing the quality of a model, being able to accurately measure its prediction error is of key importance. Often, however, techniques of measuring error are used that give grossly misleading results. This can lead to the phenomenon of over-fitting where a model may fit the training data very well, but will do a poor job of predicting results for new data not used in model training. Here is an overview of methods to accurately measure model prediction error. ...

Visual summary

 

Understanding the bias-variance tradeoff

  
(2012)

Abstract

When we discuss prediction models, prediction errors can be decomposed into two main subcomponents we care about: error due to "bias" and error due to "variance". There is a tradeoff between a model's ability to minimize bias and variance. Understanding these two types of error can help us diagnose model results and avoid the mistake of over- or under-fitting. ...

Visual summary

 

Study of a collaborative repository of semantic metadata and models for regional environmental datasets' multivariate transformations

  
(2015)
edited by Giorgio Guariso

Abstract

A semantic modelling procedure is introduced to ease array-based multivariate transformations of public environmental data, along with the architecture of a collaborative repository of modelling meta-information based on the procedure. [\n] The procedure, Semantic Array Programming (SemAP), is intended as a lightweight paradigm to support integrated natural resources modelling and management (INRMM), in the context of wide-scale transdisciplinary modelling for environment (WSTMe, here tested from catchment up to regional and continental scale). [\n] It is a common experience among computational scientists, ...

References

  1. Aalde, H., Gonzalez, P., Gytarsky, M., Krug, T., Kurz, W. A., Ogle, S., Raison, J., Schoene, D., Ravindranath, N. H., Elhassan, N. G., Heath, L. S., Higuchi, N., Kainja, S., Matsumoto, M., Sanz Sánchez, M. J., Somogyi, Z., 2006. Forest Land. Vol. 4 of IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme. The Intergovernmental Panel on Climate Change (IPCC), Ch. 4, 83 pp. http://www.ipcc-nggip.iges.or.jp/public/2006gl/pdf/4_Volume4/V4_04_Ch4_Forest_Land.pdf .
 

Rise of the citizen scientist

  
Nature, Vol. 524, No. 7565. (18 August 2015), pp. 265-265, https://doi.org/10.1038/524265a

Abstract

From the oceans to the soil, technology is changing the part that amateurs can play in research. But this greater involvement raises concerns that must be addressed. [Excerpt] [...] Citizen science has come a long way from the first distributed-computing projects that hoovered up spare processing power on home computers to perform calculations or search for alien signals. And it has progressed further still since the earliest public surveys of wildlife: it was way back in 1900 that the Audubon Society persuaded ...

 

Climate-change ‘hiatus’ disappears with new data

  

Abstract

US agency’s updated temperature records suggest that global warming continues apace. [Excerpt] An apparent pause in global warming might have been a temporary mirage, according to recent analysis. Global average temperatures have continued to rise throughout the first part of the 21st century, researchers report on 5 June in Science1. [\n] That finding, which contradicts the 2013 report of the Intergovernmental Panel on Climate Change (IPCC), is based on an update of the global temperature records maintained by the US National Oceanic and ...

 

Good enough? Nichesourcing in data quality assessment

  
IEEE Earthzine, Vol. 7, No. 4. (2014), 910203

Abstract

It is tempting to integrate crowdsourced data into our databases for identifying a data quality issue (e.g., “is my Earth observation data still valid?”). Here we present a use case developed during the Linked Map project (part of the EU FP7 project PlanetData) named “nichesourcing of data quality assessment.” In this use case, a small group of expert volunteers assessed if the quality of a conflation of data sourced from an official national map (the BTN25, a National Map database of ...

References

  1. V. de Boer et al., “Nichesourcing: Harnessing the Power of Crowds of Experts,” Journal on Data Semantics III, vol. 7603, no. 3, S. Spaccapietra and E. Zimányi, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 16–20.
  2. B. M. Tesfa, “Nichesourcing: a case study for pluvial data digitalization for the Sahel,” VU University, Amsterdam, NL, 2012.
  3. E. Wenger et al., Cultivating Communities of Practice. Harvard Business Press, 2002.
  4. F.
 

Topological sensitivity analysis for systems biology

  
Proceedings of the National Academy of Sciences, Vol. 111, No. 52. (30 December 2014), pp. 18507-18512, https://doi.org/10.1073/pnas.1414026112

Abstract

[Significance] Mathematical models are widely used to study natural systems. They allow us to test and generate hypotheses, and help us to understand the processes underlying the observed behavior. However, such models are, by necessity, simplified representations of the true systems, so it is critical to understand the impact of assumptions made when using a particular model. Here we provide a method to assess how uncertainty about the structure of a natural system affects the conclusions we can draw from mathematical models ...

 

Crisis mappers turn to citizen scientists

  
Nature, Vol. 515, No. 7527. (19 November 2014), pp. 321-321, https://doi.org/10.1038/515321a

Abstract

Crowdsourced disaster surveys strive for more reliability in online collaboration. [Excerpt] When Typhoon Haiyan barrelled into the Philippines on 8 November 2013, more than 1,600 volunteers leapt to their laptops to make 4.5 million edits to OpenStreetMap, an online, open global map. Working from satellite imagery, the volunteers created maps for stricken areas of the islands, and tagged buildings that seemed to have been damaged or destroyed. The maps were used to help aid workers to navigate the terrain, and the damage ...

 

Geometric errors of remote sensing images over forest and their propagation to bidirectional studies

  
Geoscience and Remote Sensing Letters, IEEE, Vol. 10, No. 6. (November 2013), pp. 1459-1463, https://doi.org/10.1109/lgrs.2013.2260129

Abstract

This study focused on the need of accurate digital surface models rather than existing digital terrain models for the geometric correction of high spatial resolution images over forests. Based on both theoretical and experimental results, it was shown here that even for close to nadir observations (view angles less than 7°), the geometric error increased from within to beyond the pixel level when not taking into account the canopy height. This is particularly relevant for forest studies on bidirectional effects, data ...

 

Comparing and combining physically-based and empirically-based approaches for estimating the hydrology of ungauged catchments

  
Journal of Hydrology, Vol. 508 (January 2014), pp. 227-239, https://doi.org/10.1016/j.jhydrol.2013.11.007

Abstract

[Highlights] [::] Methods for estimating various hydrological indices at ungauged sites were compared. [::] Methods included a TopNet rainfall-runoff model and a Random Forest empirical model. [::] TopNet estimates were improved through correction using Random Forest estimates. [::] Random Forests provided the best estimates of all indices except mean flow. [::] Mean flow was best estimated using an already published empirical method. [Summary] Predictions of hydrological regimes at ungauged sites are required for various purposes such as setting environmental flows, assessing availability of water resources or ...

 

Comparison of empirical and theoretical remote sensing based bathymetry models in river environments

  
River Research and Applications, Vol. 28, No. 1. (January 2012), pp. 118-133, https://doi.org/10.1002/rra.1441

Abstract

Knowledge of underwater morphology is an essential component of many hydrological and environmental applications such as flood modelling and lotic habitat mapping. Remote sensing allows modelling of bathymetry at spatial scales that are impossible to achieve with traditional methods. However, the use of passive remote sensing for modelling water depth in fluvial environments remains a challenge. Different methods of computing bathymetry models based on remotely sensed imagery combined with ground measurements for calibration were investigated in order to produce a digital bathymetry ...

 

Finding the right pixel size

  
Computers & Geosciences, Vol. 32, No. 9. (November 2006), pp. 1283-1298, https://doi.org/10.1016/j.cageo.2005.11.008

Abstract

This paper discusses empirical and analytical rules to select a suitable grid resolution for output maps and based on the inherent properties of the input data. The choice of grid resolution was related with the cartographic and statistical concepts: scale, computer processing power, positional accuracy, size of delineations, inspection density, spatial autocorrelation structure and complexity of terrain. These were further related with the concepts from the general statistics and information theory such as Nyquist frequency concept from signal processing and equations ...

 

Effects of different matrix representations and connectivity measures on habitat network assessments

  
Landscape Ecology (2014), pp. 1-20, https://doi.org/10.1007/s10980-014-0075-2

Abstract

Assessing landscape connectivity is important to understand the ecology of landscapes and to evaluate alternative conservation strategies. The question is though, how to quantify connectivity appropriately, especially when the information available about the suitability of the matrix surrounding habitat is limited. Our goal here was to investigate the effects of matrix representation on assessments of the connectivity among habitat patches and of the relative importance of individual patches for the connectivity within a habitat network. We evaluated a set of 50 × 50 km2 ...

 

Obituary: Sandy Island (1876-2012)

  
Eos, Transactions American Geophysical Union, Vol. 94, No. 15. (09 April 2013), pp. 141-142, https://doi.org/10.1002/2013eo150001

Abstract

In October 2012, scientists investigating the tectonic evolution of the eastern Coral Sea aboard the R/V Southern Surveyor uncovered a quirky discrepancy in maps of seafloor topography during their 25-day voyage. While on a transit leg between dredge sites, the ship passed near a purported island between the Chesterfield Islands and Nereus Reef that appeared in numerous scientific data sets and in Google Earth™ with the label “Sandy Island.” However, this 25-kilometer-long and 5-kilometer-wide feature was absent from the hydrographic charts ...

 

How do scientists develop and use scientific software?

  
In Software Engineering for Computational Science and Engineering, 2009. SECSE '09. ICSE Workshop on (May 2009), pp. 1-8, https://doi.org/10.1109/secse.2009.5069155

Abstract

New knowledge in science and engineering relies increasingly on results produced by scientific software. Therefore, knowing how scientists develop and use software in their research is critical to assessing the necessity for improving current development practices and to making decisions about the future allocation of resources. To that end, this paper presents the results of a survey conducted online in October-December 2008 which received almost 2000 responses. Our main conclusions are that (1) the knowledge required to develop and use scientific ...

 

Data publication consensus and controversies

  
F1000Research (16 May 2014), https://doi.org/10.12688/f1000research.4518

Abstract

The movement to bring datasets into the scholarly record as first class research products (validated, preserved, cited, and credited) has been inching forward for some time, but now the pace is quickening. As data publication venues proliferate, significant debate continues over formats, processes, and terminology. Here, we present an overview of data publication initiatives underway and the current conversation, highlighting points of consensus and issues still in contention. Data publication implementations differ in a variety of factors, including the kind of ...

 

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. ...

 

Using Publicly Available Forest Inventory Data in Climate-Based Models of Tree Species Distribution: Examining Effects of True Versus Altered Location Coordinates

  
Ecosystems In Ecosystems, Vol. 17, No. 1. (2014), pp. 43-53, https://doi.org/10.1007/s10021-013-9703-y

Abstract

Species distribution models (SDMs) were built with US Forest Inventory and Analysis (FIA) publicly available plot coordinates, which are altered for plot security purposes, and compared with SDMs built with true plot coordinates. Six species endemic to the western US, including four junipers (Juniperus deppeana var. deppeana, J. monosperma, J. occidentalis, J. osteosperma) and two piñons (Pinus edulis, P. monophylla), were analyzed. The presence–absence models based on current climatic variables were generated over a series of species-specific modeling extents using Random ...

 

(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 ). ...

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

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.