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Selection: with tag correlation-analysis [15 articles] 

 

Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure

  
Ecography, Vol. 40, No. 8. (1 August 2017), pp. 913-929, https://doi.org/10.1111/ecog.02881

Abstract

Ecological data often show temporal, spatial, hierarchical (random effects), or phylogenetic structure. Modern statistical approaches are increasingly accounting for such dependencies. However, when performing cross-validation, these structures are regularly ignored, resulting in serious underestimation of predictive error. One cause for the poor performance of uncorrected (random) cross-validation, noted often by modellers, are dependence structures in the data that persist as dependence structures in model residuals, violating the assumption of independence. Even more concerning, because often overlooked, is that structured data also ...

 

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 ...

 

Improving generalized regression analysis for the spatial prediction of forest communities

  
Journal of Biogeography, Vol. 33, No. 10. (October 2006), pp. 1729-1749, https://doi.org/10.1111/j.1365-2699.2006.01465.x

Abstract

Abstract Aim  This study used data from temperate forest communities to assess: (1) five different stepwise selection methods with generalized additive models, (2) the effect of weighting absences to ensure a prevalence of 0.5, (3) the effect of limiting absences beyond the environmental envelope defined by presences, (4) four different methods for incorporating spatial autocorrelation, and (5) the effect of integrating an interaction factor defined by a regression tree on the residuals of an initial environmental model. Location  State of Vaud, ...

 

Tree cover and seasonal precipitation drive understorey flammability in alpine mountain forests

  
Journal of Biogeography, Vol. 43, No. 9. (September 2016), pp. 1869-1880, https://doi.org/10.1111/jbi.12745

Abstract

[Aim] Little is known about the understorey flammability of European mountain forests. The aim of this study was to determine the relative effects of climate, vegetation structure and composition on the fuel-driven variation in fire spread and intensity. [Location] The western Alps. [Methods] Fire spread and intensity were simulated under constant moisture and weather conditions for a wide range of understorey fuel parameters measured in the litter, grass and shrub layers. Simulation outputs were used to compare understorey flammability between different forest ecosystem types (FET). The ...

 

Effects of incorporating spatial autocorrelation into the analysis of species distribution data

  
Global Ecology and Biogeography, Vol. 16, No. 2. (March 2007), pp. 129-138, https://doi.org/10.1111/j.1466-8238.2006.00279.x

Abstract

[Aim]  Spatial autocorrelation (SAC) in data, i.e. the higher similarity of closer samples, is a common phenomenon in ecology. SAC is starting to be considered in the analysis of species distribution data, and over the last 10 years several studies have incorporated SAC into statistical models (here termed ‘spatial models’). Here, I address the question of whether incorporating SAC affects estimates of model coefficients and inference from statistical models. [Methods]  I review ecological studies that compare spatial and non-spatial models. [Results]  In all ...

 

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: ...

 

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

  
Ecography, Vol. 36, No. 1. (1 January 2013), pp. 27-46, https://doi.org/10.1111/j.1600-0587.2012.07348.x

Abstract

Collinearity refers to the non independence of predictor variables, usually in a regression-type analysis. It is a common feature of any descriptive ecological data set and can be a problem for parameter estimation because it inflates the variance of regression parameters and hence potentially leads to the wrong identification of relevant predictors in a statistical model. Collinearity is a severe problem when a model is trained on data from one region or time, and predicted to another with a different or ...

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Variation in Growth and Branching Characters in Black Pine (Pinus nigra Arnold) of Peloponnesos.

  
Silvae Genetica, Vol. 38, No. 3-4. (1989), pp. 77-81

Abstract

In a black pine (Pinus nigra ARNOLD) seed orchard, comprising 52 clones selected from the natural forest of Peloponnesos, Greece, the following 16 growth and branching characters were studied: tree height, length of terminal shoot, number of lateral buds, number of branches, branch length, branch thickness and branch angle in the first, second, and third whorl, as well as crown diameter. For all characters there exist significant clone differences. The length of terminal shoot varied from 42 cm to 74 cm (overall ...

 

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

  
(February 2014)
Keywords: colli-euganei   collinearity   colombia   colophospermum-mopane   color-blindness   color-photos   colorado   colutea-arborescens   combretum-imberbe   combustion-emission   command-line   common-bird-index   common-name-alder   common-name-ash   common-name-beech   common-name-yew   commons   communicating-uncertainty   community   community-modelling   community-structure   community-structures   comparison   competition   competition-vs-coexistence   complex-systems   complexes   complexity   complexity-vs-uncertainty   component-based   compsidia-populnea   compsilura-concinnata   computational-science   computational-science-automation   computational-science-literacy   computer-science   cone-crop   conefor-sensinode   confirmation-bias   conflicts   confusion-matrix   congo   coniferales   coniferophyta   coniferopsida   conifers   connectivity   conocarpus-erectus   consensus   conservation   conservation-biology   conservation-strategies   console   constrained-innovation   constrained-spatial-multi-frequency-analysis   constraints   context-aware   continental-scale   continuity   control-   control-dynamics   control-problem   control-program-vs-users   controversial-monetarisation   convolutional-neural-networks   conyza-canadensis   cooling   cooperation   coppice   coppice-forest   coppice-sessile-oak   coppice-stools   copyleft   cordex   cordia-boissieri   cordia-sebestena   cork   cornus-florida   cornus-mas   cornus-nuttallii   cornus-officinalis   cornus-sanguinea   cornus-spp   coroebus-florentinus   correlation-analysis   correlative-approach   corridors   corrigenda   corroboration   corsica   corsican-nuthatch   corsican-pine   cortusa-matthioli   corylus-avellana   corylus-colchica   corylus-colurna   corylus-spp   corymbia-calophylla   cosmetic-use   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 ). ...

 

Multifractal Detrended Cross-Correlation Analysis of sunspot numbers and river flow fluctuations

  
Physica A: Statistical Mechanics and its Applications, Vol. 389, No. 21. (22 November 2010), pp. 4942-4957, https://doi.org/10.1016/j.physa.2010.06.025

Abstract

We use the Detrended Cross-Correlation Analysis (DCCA) to investigate the influence of sun activity represented by sunspot numbers on one of the climate indicators, specifically rivers, represented by river flow fluctuation for Daugava, Holston, Nolichucky and French Broad rivers. The multifractal Detrended Cross-Correlation Analysis (MF-DXA) shows that there exist some crossovers in the cross-correlation fluctuation function versus time scale of the river flow and sunspot series. One of these crossovers corresponds to the well-known cycle of solar activity demonstrating a universal ...

 

Impact of variations in solar activity on hydrological decadal patterns in northern Italy

  
Journal of Geophysical Research, Vol. 113, No. D12. (19 June 2008), https://doi.org/10.1029/2007jd009157

Abstract

Using spectral and statistical analyses of discharges and basin average precipitation rates acquired over the Po River since the early 1800s, we investigate the impact of variations in solar activity on hydrological decadal patterns over northern Italy. Wet and dry periods appear to alternate in accordance with polarized sunspot cycles. Intriguingly, a solar signature on Po River discharges is detected to be highly significant since the late 1800s, before the onset of sunspots hyperactivity established by the middle 1900s. In particular, ...

 

Detecting causality in complex ccosystems

  
Science, Vol. 338, No. 6106. (20 September 2012), pp. 496-500, https://doi.org/10.1126/science.1227079

Abstract

Identifying causal networks is important for effective policy and management recommendations on climate, epidemiology, financial regulation, and much else. We introduce a method, based on nonlinear state space reconstruction, that can distinguish causality from correlation. It extends to nonseparable weakly connected dynamic systems (cases not covered by the current Granger causality paradigm). The approach is illustrated both by simple models (where, in contrast to the real world, we know the underlying equations/relations and so can check the validity of our method) ...

 

Spatial covariance between biodiversity and other ecosystem service priorities

  
Journal of Applied Ecology, Vol. 46, No. 4. (August 2009), pp. 888-896, https://doi.org/10.1111/j.1365-2664.2009.01666.x

Abstract

1.  Ecosystems support biodiversity and also provide goods and services that are beneficial to humans. The extent to which the locations that are most valuable for ecosystem services coincide with those that support the most biodiversity is of critical importance when designing conservation and land management strategies. There are, however, few studies on which to base any kind of conclusion about possible spatial patterns of association between ecosystem services and biodiversity. Moreover, little is known about the sensitivity of the conclusions ...

 

Finding correlations in big data

  
Nature Biotechnology, Vol. 30, No. 4. (10 April 2012), pp. 334-335, https://doi.org/10.1038/nbt.2182

Abstract

In today's era of large data sets, statistical methods that facilitate exploratory analyses to detect patterns and generate hypotheses are critical to progress in biology. Last year, David Reshef and colleagues published a new approach to such analysis, called maximal information criteria or MIC (Science 334, 1518–1524, 2011). Nature Biotechnology solicited comments from several practitioners versed in data-intensive biological research. Their responses not only highlight the appeal of methods like MIC for biological research, but also raise some important reservations as ...

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

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.