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Selection: with tag regression [40 articles] 

 

Species-specific, pan-European diameter increment models based on data of 2.3 million trees

  
Forest Ecosystems, Vol. 5, No. 1. (3 April 2018), https://doi.org/10.1186/s40663-018-0133-3

Abstract

[Background] Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply ...

 

Applied regression and multilevel/hierarchical models

  
(2006)

Abstract

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces and demonstrates a wide variety of models, at the same time instructing the reader in how to fit these models using freely available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen in the authors’ own applied research, with programming code provided for each one. Topics ...

 

Spatially-explicit models of global tree density

  
Scientific Data, Vol. 3 (16 August 2016), 160069, https://doi.org/10.1038/sdata.2016.69

Abstract

Remote sensing and geographic analysis of woody vegetation provide means of evaluating the distribution of natural resources, patterns of biodiversity and ecosystem structure, and socio-economic drivers of resource utilization. While these methods bring geographic datasets with global coverage into our day-to-day analytic spheres, many of the studies that rely on these strategies do not capitalize on the extensive collection of existing field data. We present the methods and maps associated with the first spatially-explicit models of global tree density, which relied ...

 

Gradientes de temperaturas en la montaña española - Surface temperature lapse rates on the spanish mountains

  
In Riscos associados a Fenómenos Meteorológicos e Geofisicos - 10º Simpósio de Meteorologia e Geofisica da APMG - 18º Encontro Luso-Espanhol de Meteorologia (2017)

Abstract

[Abstract] A realistic estimation of how surface temperatures vary with elevation is important for climatic, hydrological and ecosystem studies. A fixed lapse rate of 6.5ºC/1.000 meters is generally assumed for the whole conditions and locations, but surface temperature lapse rates vary in space and time due to wind, relative humidity or local topography. In this paper we present an approximation lapse rates estimated in the main Spanish mountains using the database from the Spanish Meteorological Council (AEMET) weather stations network. The results ...

 

Temperature lapse rate in complex mountain terrain on the southern slope of the central Himalayas

  
Theoretical and Applied Climatology, Vol. 113, No. 3-4. (2013), pp. 671-682, https://doi.org/10.1007/s00704-012-0816-6

Abstract

This study presents the first results of monthly, seasonal and annual characteristics of temperature lapse rate on the southern slope of the central Himalayas, based on 20 years record of surface air temperature at 56 stations in Nepal. These stations are located at a range of elevations between 72 and 3,920 m above sea level. It is proven that the lapse rate can be calculated with a linear regression model. The annual cycle of temperature lapse rate exhibits a bi-modal pattern: ...

 

Estimating future burned areas under changing climate in the EU-Mediterranean countries

  
Science of The Total Environment, Vol. 450-451 (April 2013), pp. 209-222, https://doi.org/10.1016/j.scitotenv.2013.02.014

Abstract

The impacts of climate change on forest fires have received increased attention in recent years at both continental and local scales. It is widely recognized that weather plays a key role in extreme fire situations. It is therefore of great interest to analyze projected changes in fire danger under climate change scenarios and to assess the consequent impacts of forest fires. In this study we estimated burned areas in the European Mediterranean (EU-Med) countries under past and future climate conditions. Historical ...

 

Generalized allometric volume and biomass equations for some tree species in Europe

  
In European Journal of Forest Research, Vol. 126, No. 2. (2007), pp. 157-166, https://doi.org/10.1007/s10342-007-0168-4

Abstract

Since biomass is one of the key variables in ecosystem studies, widespread effort has aimed to facilitating its estimation. Numerous stand-specific volume and biomass equations are available, but these cannot be used for scaling up biomass to the regional level where several age-classes and structural types of stands coexist. Therefore simplified generalized volume and biomass equations are needed. In the present study, generalized biomass and volume regression equations were developed for the main tree species in Europe. These equations were based ...

 

Framework for making better predictions by directly estimating variables’ predictivity

  
Proceedings of the National Academy of Sciences, Vol. 113, No. 50. (13 December 2016), pp. 14277-14282, https://doi.org/10.1073/pnas.1616647113

Abstract

[Significance] Good prediction, especially in the context of big data, is important. Common approaches to prediction include using a significance-based criterion for evaluating variables to use in models and evaluating variables and models simultaneously for prediction using cross-validation or independent test data. The first approach can lead to choosing less-predictive variables, because significance does not imply predictivity. The second approach can be improved through considering a variable’s predictivity as a parameter to be estimated. The literature currently lacks measures that do ...

 

Random forests

  
Machine Learning, Vol. 45, No. 1. (2001), pp. 5-32, https://doi.org/10.1023/a%3a1010933404324

Abstract

Random forests are a combination of tree predictors such that each tree depends on the values of a random vector sampled independently and with the same distribution for all trees in the forest. The generalization error for forests converges a.s. to a limit as the number of trees in the forest becomes large. The generalization error of a forest of tree classifiers depends on the strength of the individual trees in the forest and the correlation between them. Using a random ...

 

Characteristics and controls of extremely large wildfires in the western Mediterranean Basin

  
Journal of Geophysical Research: Biogeosciences, Vol. 121, No. 8. (August 2016), pp. 2141-2157, https://doi.org/10.1002/2016jg003389

Abstract

Large fires account for a disproportionally high percentage of area burned with potentially severe environmental and socioeconomic impacts. This study characterizes extremely large fires (ELFs; 2500–24,843 ha) in Portugal (1998–2013) and the concomitant fuel and weather conditions, analyzing the response of ELF size to their variation. ELF burned less shrubland-grassland (33% of the total ELF area) than forest (59% of total), the latter primarily composed by pine and pine-eucalypt. High fuel hazard was the norm, as indicated by median values of 0.98 ...

 

A radiative transfer model-based method for the estimation of grassland aboveground biomass

  
International Journal of Applied Earth Observation and Geoinformation, Vol. 54 (February 2017), pp. 159-168, https://doi.org/10.1016/j.jag.2016.10.002

Abstract

[Highlights] [::] The PROSAILH radiative transfer model was presented to estimate grassland AGB. [::] The ill-posed inversion problem was alleviated by using the ecological criteria. [::] Multi-source satellite products were used to filter the unrealistic combinations of retrieved free parameters. [::] Three empirical methods were also used to estimate the grassland AGB. [Abstract] This paper presents a novel method to derive grassland aboveground biomass (AGB) based on the PROSAILH (PROSPECT + SAILH) radiative transfer model (RTM). Two variables, leaf area index (LAI, m2m−2, defined as a one-side ...

 

Forest fire danger projections in the Mediterranean using ENSEMBLES regional climate change scenarios

  
Climatic Change, Vol. 122, No. 1-2. (2014), pp. 185-199, https://doi.org/10.1007/s10584-013-1005-z

Abstract

We present future fire danger scenarios for the countries bordering the Mediterranean areas of Europe and north Africa building on a multi-model ensemble of state-of-the-art regional climate projections from the EU-funded project ENSEMBLES. Fire danger is estimated using the Canadian Forest Fire Weather Index (FWI) System and a related set of indices. To overcome some of the limitations of ENSEMBLES data for their application on the FWI System—recently highlighted in a previous study by Herrera et al. (Clim Chang 118:827–840, 2013)—we ...

 

Modeling height-diameter relationship in pinus pinaster ait. in the forest intervention zone of Lomba, NE-Portugal

  
(July 2016)

Abstract

In this work, the relationship between diameter at breast height (d) and total height (h) of individual-tree was modeled with the aim to establish provisory height-diameter (h-d) equations for maritime pine (Pinus pinaster Ait.) stands in the Lomba ZIF, Northeast Portugal. Using data collected locally, several local and generalized h-d equations from the literature were tested and adaptations were also considered. Model fitting was conducted by using usual nonlinear least squares (nls) methods. The best local and generalized models selected, were ...

References

  1. Abad Viñas, R., Caudullo, G., Oliveira, S., de Rigo, D., 2016. Pinus pinaster in Europe: distribution, habitat, usage and threats. In: San-Miguel-Ayanz, J., de Rigo, D., Caudullo, G., Houston Durrant, T., Mauri, A. (Eds.), European Atlas of Forest Tree Species. Publ. Off. EU, Luxembourg, pp. e012d59+ .
  2. Adame, P., I. Cañellas, I., del Río, M., 2005. Modelo de la relación altura-diámetro para rebolares en Castilla y León. IV Congreso Forestal Español, Sociedad Española de
 

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

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

Abstract

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

 

Comparison of model predictions with measurements: a novel model-assessment method

  
Journal of Dairy Science, Vol. 99, No. 6. (June 2016), pp. 4907-4927, https://doi.org/10.3168/jds.2015-10032

Abstract

Frequently, scientific findings are aggregated using mathematical models. Because models are simplifications of the complex reality, it is necessary to assess whether they capture the relevant features of reality for a given application. An ideal assessment method should (1) account for the stochastic nature of observations and model predictions, (2) set a correct null hypothesis, (3) treat model predictions and observations interchangeably, and (4) provide quantitatively interpretable statistics relative to precision and accuracy. Current assessment methods show deficiencies in regards to ...

 

Modeling monthly near-surface air temperature from solar radiation and lapse rate: application over complex terrain in Yellowstone national park

  
Physical Geography, Vol. 29, No. 2. (1 March 2008), pp. 158-178, https://doi.org/10.2747/0272-3646.29.2.158

Abstract

Spatially distributed surface temperature over complex topography is important to many ecological processes, but it varies spatially and temporally in complex ways and is difficult to measure at landscape scales at tens of meters resolution. Our goal is to develop a methodology that accurately predicts surface temperature in mountain ecosystems. First, we modeled monthly incoming solar radiation (insolation) based on topography and observed variation in atmospheric conditions, and accounting for site latitude, elevation, and surface orientation (slope and aspect), daily and ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 34

  
(February 2014)
Keywords: inrmm-list-of-tags   record-to-update-or-delete   recreation   red-list   redd   redistributable-scientific-information   reference-manual   reforestation   refugia   regeneration   regime-shift   regional-climate   regional-climate-models   regional-scale   regression   regression-tree-analysis   regulating-services   reinforcement   reinforcement-learning   reinventing-weels   reiteration   relative-distance-similarity   relative-distance-similarity-ancillary   remote-sensing   renewable-energy   renewable-energy-directive   repeatability   repellent-species   replicability   reporting   representative-concentration-pathways   reproducibility   reproducible-research   reproduction   reproductive-effort   reptiles   resampling   research-funding   research-funding-vs-public-outcome   research-management   research-metrics   research-team-size   reservoir-management   reservoir-services   resilience   resilience-vs-resistance   resilience-vs-risk-management   resin   resistance   resources-exploitation   respiration   restoration   resurvey-of-semi-permanent   retraction   review   review-publication   review-scopus-european-biodiversity-indicators   revision-control-system   rewarding-best-research-practices   rhamnus-cathartica   rhamnus-catharticus   rhamnus-frangula   rhamnus-imeretina   rhamnus-saxatilis   rhamnus-spp   rhizophagus-grandis   rhizophora-apiculata   rhizophora-mangle   rhododendron-arboreum   rhododendron-caucasicum   rhododendron-ferrugineum   rhododendron-periclymenoides   rhododendron-ponticum   rhododendron-smirnowii   rhododendron-spp   rhododendron-ungernii   rhododendron-viscosum   rhopalicus-tutela   rhus-spp   rhus-typhina   rhyacionia-bouliana   rhyacionia-buoliana   rhyacionia-frustrana   rhynchophorus-ferrugineus   rhyssa-persuasoria   rhytisma   ribes-alpinum   ribes-rubrum   ribes-uva-crispa   rice   ring-analysis   ring-width-chronologies   ringspot-virus   riparian-ecosystem   riparian-forest   riparian-zones   risk-analysis   risk-assessment   risk-management   risk-reduction  

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 ). ...

 

Mapping tree density at a global scale

  
Nature, Vol. 525, No. 7568. (2 September 2015), pp. 201-205, https://doi.org/10.1038/nature14967

Abstract

The global extent and distribution of forest trees is central to our understanding of the terrestrial biosphere. We provide the first spatially continuous map of forest tree density at a global scale. This map reveals that the global number of trees is approximately 3.04 trillion, an order of magnitude higher than the previous estimate. Of these trees, approximately 1.39 trillion exist in tropical and subtropical forests, with 0.74 trillion in boreal regions and 0.61 trillion in temperate regions. Biome-level trends in ...

Visual summary

 

Global potential net primary production predicted from vegetation class, precipitation, and temperature

  
Ecology, Vol. 89, No. 8. (August 2008), pp. 2117-2126, https://doi.org/10.1890/07-0850.1

Abstract

Net primary production (NPP), the difference between CO2 fixed by photosynthesis and CO2 lost to autotrophic respiration, is one of the most important components of the carbon cycle. Our goal was to develop a simple regression model to estimate global NPP using climate and land cover data. Approximately 5600 global data points with observed mean annual NPP, land cover class, precipitation, and temperature were compiled. Precipitation was better correlated with NPP than temperature, and it explained much more of the variability ...

 

Does the interpolation accuracy of species distribution models come at the expense of transferability?

  
Ecography, Vol. 35, No. 3. (March 2012), pp. 276-288, https://doi.org/10.1111/j.1600-0587.2011.06999.x

Abstract

Model transferability (extrapolative accuracy) is one important feature in species distribution models, required in several ecological and conservation biological applications. This study uses 10 modelling techniques and nationwide data on both (1) species distribution of birds, butterflies, and plants and (2) climate and land cover in Finland to investigate whether good interpolative prediction accuracy for models comes at the expense of transferability – i.e. markedly worse performance in new areas. Models’ interpolation and extrapolation performance was primarily assessed using AUC (the ...

 

Remarks on a recent paper on the "no free lunch" theorems

  
Evolutionary Computation, IEEE Transactions on In Evolutionary Computation, IEEE Transactions on, Vol. 5, No. 3. (June 2001), pp. 295-296, https://doi.org/10.1109/4235.930318

Abstract

This note discusses the recent paper "Some technical remarks on the proof of the no free lunch theorem" by Koppen (2000). In that paper, some technical issues related to the formal proof of the no free lunch (NFL) theorem for search were given by Wolpert and Macready (1995, 1997). The present authors explore the issues raised in that paper including the presentation of a simpler version of the NFL proof in accord with a suggestion made explicitly by Koppen (2000) and ...

 

Interactive comment on “Long-memory processes in global ozone and temperature variations” by C. Varotsos and D. Kirk-Davidoff

  
Atmospheric Chemistry and Physics Discussions, Vol. 6 (2006), pp. S1182-S1185

Abstract

Long memory or long-range dependent processes are frequently claimed to underly the dynamics of observed time series. Many of the works reaching those claims are based on detrended fluctuation analysis (DFA) or related scaling analysis techniques. The general procedure of these heuristic approaches is to describe the behaviour of a certain characteristic with a power-law. Although this is surely a useful ansatz in many respects, its validity should be checked for every application. Especially, when two or more power-law ...

 

Mapping the daily progression of large wildland fires using MODIS active fire data

  
International Journal of Wildland Fire, Vol. 23, No. 5. (2014), 655, https://doi.org/10.1071/wf13015
Keywords: mapping   modelling   modis   regression   wildfires  

Abstract

High temporal resolution information on burnt area is needed to improve fire behaviour and emissions models. We used the Moderate Resolution Imaging Spectroradiometer (MODIS) thermal anomaly and active fire product (MO(Y)D14) as input to a kriging interpolation to derive continuous maps of the timing of burnt area for 16 large wildland fires. For each fire, parameters for the kriging model were defined using variogram analysis. The optimal number of observations used to estimate a pixel’s time of burning varied between four ...

 

Modelling the spatial distribution of tree species with fragmented populations from abundance data

  
Community Ecology, Vol. 10, No. 2. (1 December 2009), pp. 215-224, https://doi.org/10.1556/comec.10.2009.2.12

Abstract

Spatial distribution modelling can be a useful tool for elaborating conservation strategies for tree species characterized by fragmented and sparse populations. We tested five statistical models—Support Vector Regression (SVR), Multivariate Adaptive Regression Splines (MARS), Gaussian processes with radial basis kernel functions (GP), Regression Tree Analysis (RTA) and Random Forests (RF)—for their predictive performances. To perform the evaluation, we applied these techniques to three tree species for which conservation measures should be elaborated and implemented: one Mediterranean species ( Quercus suber ) ...

 

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 ...

 

A statistical explanation of MaxEnt for ecologists

  
Diversity and Distributions, Vol. 17, No. 1. (1 January 2011), pp. 43-57, https://doi.org/10.1111/j.1472-4642.2010.00725.x

Abstract

MaxEnt is a program for modelling species distributions from presence-only species records. This paper is written for ecologists and describes the MaxEnt model from a statistical perspective, making explicit links between the structure of the model, decisions required in producing a modelled distribution, and knowledge about the species and the data that might affect those decisions. To begin we discuss the characteristics of presence-only data, highlighting implications for modelling distributions. We particularly focus on the problems of sample bias and lack ...

 

Quantifying Long-Term Scientific Impact

  
Science, Vol. 342, No. 6154. (04 October 2013), pp. 127-132, https://doi.org/10.1126/science.1237825

Abstract

[Editor's Summary] Citation Grabbers. Is there quantifiable regularity and predictability in citation patterns? It is clear that papers that have been cited frequently tend to accumulate more citations. It is also clear that, with time, even the most novel paper loses its currency. Some papers, however, seem to have an inherent “fitness” that can be interpreted as a community's response to the research. Wang et al. (p. 127; see the Perspective by Evans) developed a mechanistic model to predict citation history. The model ...

 

Exploring the relationships of fire occurrence variables by means of CART and MARS models

  
In Proceedings of the 4th International Wildland Fire Conference, Sevilla, Spain, 13-18 May 2007 (2007)

Abstract

Recently, in the framework of long-term fire risk assessment, researcher have implemented spatial and non-spatial non-parametric prediction models to discover complex relationships among wildfire variables. The main scope was to overcome the assumption of spatial stationarity in the relationship among the response variable and the predictors, assumed by the traditional regression techniques. The present article aims to test and compare the potential of the CART and MARS models in predicting fire occurrence at local scale. The test is performed in the Arno River Basin, a fire prone ...

 

Modeling spatial patterns of fire occurrence in Mediterranean Europe using multiple regression and random forest

  
Forest Ecology and Management, Vol. 275 (July 2012), pp. 117-129, https://doi.org/10.1016/j.foreco.2012.03.003

Abstract

[Abstract] Fire occurrence, which results from the presence of an ignition source and the conditions for a fire to spread, is an essential component of fire risk assessment. In this paper, we present and compare the results of the application of two different methods to identify the main structural factors that explain the likelihood of fire occurrence at European scale. [\n] Data on the number of fires for the countries of the European Mediterranean region during the main fire season (June–September) were obtained ...

 

Spatial prediction models for landslide hazards: review, comparison and evaluation

  
Natural Hazards and Earth System Science, Vol. 5, No. 6. (7 November 2005), pp. 853-862, https://doi.org/10.5194/nhess-5-853-2005

Abstract

The predictive power of logistic regression, support vector machines and bootstrap-aggregated classification trees (bagging, double-bagging) is compared using misclassification error rates on independent test data sets. Based on a resampling approach that takes into account spatial autocorrelation, error rates for predicting "present" and "future" landslides are estimated within and outside the training area. In a case study from the Ecuadorian Andes, logistic regression with stepwise backward variable selection yields lowest error rates and demonstrates the best generalization capabilities. The evaluation outside ...

 

Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors

  
Remote Sensing of Environment, Vol. 115, No. 11. (November 2011), pp. 2931-2942, https://doi.org/10.1016/j.rse.2010.08.029

Abstract

Tropical forests are an important component of the global carbon balance, yet there is considerable uncertainty in estimates of their carbon stocks and fluxes, which are typically estimated through analysis of aboveground biomass in field plots. Remote sensing technology is critical for assessing fine-scale spatial variability of tropical forest biomass over broad spatial extents. The goal of our study was to evaluate relatively new technology, small-footprint, discrete-return lidar and hyperspectral sensors, for the estimation of aboveground biomass in a Costa Rican ...

 

Growing space—age related three-dimensional modeling of biomass production of hybrid poplar

  
Biomass and Bioenergy, Vol. 10, No. 5-6. (January 1996), pp. 251-259, https://doi.org/10.1016/0961-9534(95)00119-0

Abstract

The Three Treatment Hybrid Poplar biomass experimental plantation was established at Lajta-Hansági State Farm (mosonmagyaróvár, Hungary) in 1981. The first treatment applied was fertilization by three doses of complex fertilizer and a non fertilized control. The second treatment was four European hybrid poplar clones, and the third, three narrow spacing. The design randomization was split—split-plot blocks with two exact replications. Height and Breast Height Diameter (DBH) were measured annually, and sample trees were cut. Some blocks were clear cut at age ...

 

Do we need land-cover data to model species distributions in Europe?

  
Journal of Biogeography, Vol. 31, No. 3. (1 March 2004), pp. 353-361, https://doi.org/10.1046/j.0305-0270.2003.00991.x

Abstract

Aim  To assess the influence of land cover and climate on species distributions across Europe. To quantify the importance of land cover to describe and predict species distributions after using climate as the main driver. Location  The study area is Europe. Methods  (1) A multivariate analysis was applied to describe land-cover distribution across Europe and assess if the land cover is determined by climate at large spatial scales. (2) To evaluate the importance of land cover to predict species distributions, we ...

 

The equivalence of logistic regression and maximum entropymodels

  
(September 2011)
Keywords: entropy   mathematics   regression   statistics  

Abstract

As our colleague so aptly demonstrated ( http://www.win-vector.com/blog/2011/09/the-simpler- derivation-of-logistic-regression/ ) there is one derivation of Logistic Regression that is particularly beautiful. It is not as general as that found in Agresti[Agresti, 1990] (which deals with generalized linear models in their full generality), but gets to the important balance equations very quickly. We will pursue this further to re-derive multi-category logistic regression in both its standard (sigmoid) phrasing and also in its equivalent maximum entropy clothing. It is well known that logistic regression and maximum entropy modeling are ...

 

Power-law distributions in empirical data

  
SIAM Review, Vol. 51, No. 4. (2 Feb 2009), pp. 661-703, https://doi.org/10.1137/070710111

Abstract

Power-law distributions occur in many situations of scientific interest and have significant consequences for our understanding of natural and man-made phenomena. Unfortunately, the detection and characterization of power laws is complicated by the large fluctuations that occur in the tail of the distribution -- the part of the distribution representing large but rare events -- and by the difficulty of identifying the range over which power-law behavior holds. Commonly used methods for analyzing power-law data, such as least-squares fitting, can produce substantially inaccurate estimates of parameters for power-law distributions, ...

 

Biomass and stem volume equations for tree species in Europe

  
Vol. 4 (2005)

Abstract

Review of stem volume and biomass equations for tree species growing in Europe is presented. The mathematical forms of the empirical models, the associated statistical parameters and information about the size of the trees and the country of origin were collated from scientific articles and from technical reports. The collected information provides a basic tool for estimation of carbon stocks and nutrient balance of forest ecosystems across Europe as well as for validation of theoretical models of biomass allocation. ...

 

Soil erosion in the Alpine area: risk assessment and climate change

  
Studi Trentini di scienze naturali, Vol. 85 (2009), pp. 119-125

Abstract

Objective of the research is to define the magnitude of the Actual Soil Erosion Risk in the Alpine area and to link it with a perspective of medium long terms in relation to climate change. The Revised Universal Soil Loss Equation (RUSLE) was applied to the whole Alpine space. It allowed to produce, with a spatial resolution of 100 m, the map of actual soil erosion and two further maps defining soil erosion rates in A2 and B2 scenarios of the ...

 

Predicting tree death for Fagus sylvatica and Abies alba using permanent plot data

  
Journal of Vegetation Science, Vol. 18, No. 4. (2007), pp. 525-534, https://doi.org/10.1111/j.1654-1103.2007.tb02567.x

Abstract

Question: How well can mortality probabilities of deciduous trees(Fagus sylvatica) and conifers (Abies alba) be predicted using permanent plot data that describe growth patterns, tree species, tree size and site conditions? Location: Fagus forests in the montane belt of the Jura folds (Switzerland). Method: Permanent plot data were used to develop and validate logistic regression models predicting survival probabilities of individual trees. Backward model selection led to a reduced model containing the growth-related variable ‘relative basal area increment’ (growth-dependent ...

 

Logistic regression models for human-caused wildfire risk estimation: analysing the effect of the spatial accuracy in fire occurrence data

  
European Journal of Forest Research, Vol. 130, No. 6. (1 November 2011), pp. 983-996, https://doi.org/10.1007/s10342-011-0488-2

Abstract

About 90% of the wildland fires occurred in Southern Europe are caused by human activities. In spite of these figures, the human factor hardly ever appears in the definition of operational fire risk systems due to the difficulty of characterising it. This paper describes two spatially explicit models that predict the probability of fire occurrence due to human causes for their integration into a comprehensive fire risk–mapping methodology. A logistic regression technique at 1 × 1 km grid resolution has been ...

 

Localizing general models based on local indices of spatial association

  
European Journal of Forest Research, Vol. 126, No. 2. (1 April 2007), pp. 279-289, https://doi.org/10.1007/s10342-006-0147-1

Abstract

A general regression model for large areas may have poor statistical properties for smaller sub-regions. In this study, we test the local indicators of spatial association (LISA) in the selection of localization areas of a general regression model. We present four different LISAs: Moran’s I i , Geary’s c i , G i , and G i *. These indices show if there is a cluster of similar values in the data (Moran’s I i and Geary’s c i ) or ...

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

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.