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A neural network-based method for solving "nested hierarchy" areal interpolation problems / D. Merwin in Cartography and Geographic Information Science, vol 36 n° 4 (October 2009)
[article]
Titre : A neural network-based method for solving "nested hierarchy" areal interpolation problems Type de document : Article/Communication Auteurs : D. Merwin, Auteur ; R. Cromley, Auteur ; Daniel L. Civco, Auteur Année de publication : 2009 Article en page(s) : pp 347 - 365 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse comparative
[Termes IGN] Connecticut (Etats-Unis)
[Termes IGN] figuration de la densité
[Termes IGN] interpolation par pondération de zones
[Termes IGN] interpolation spatiale
[Termes IGN] prévision
[Termes IGN] recensement démographique
[Termes IGN] régression linéaire
[Termes IGN] réseau neuronal artificiel
[Termes IGN] structure hiérarchique de donnéesRésumé : (Auteur) This study proposes a neural network approach to solving areal interpolation scenarios, specifically the “nested hierarchy” problem. The neural network method presented adopts the approach taken by intelligent interpolation methods where ancillary spatial information is presented to assist in achieving more accurate results. For this study, the data to be estimated are total populations for census tracts and block groups in Hartford County, Connecticut. A number of neural network models are generated containing various combinations of ancillary spatial information. The neural-network-derived predictions are compared with the predicted populations derived from three existing interpolation methods: areal weighting, a dasymetric areal weighting approach using remote sensing data, and ordinary least squares (OLS) regression. For each scenario presented, the proposed neural network approach outperforms each of the existing methods. Numéro de notice : A2009-441 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Article DOI : 10.1559/152304009789786335 En ligne : https://doi.org/10.1559/152304009789786335 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30072
in Cartography and Geographic Information Science > vol 36 n° 4 (October 2009) . - pp 347 - 365[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-09041 RAB Revue Centre de documentation En réserve L003 Disponible Is the spatial distribution of European beech (Fagus sylvatica L.) limited by its potential height growth? / Ingrid Seynave in Journal of Biogeography, vol 35 n° 10 (October 2008)
[article]
Titre : Is the spatial distribution of European beech (Fagus sylvatica L.) limited by its potential height growth? Type de document : Article/Communication Auteurs : Ingrid Seynave, Auteur ; Jean-Claude Gégout, Auteur ; Jean-Christophe Hervé (1961-2017) , Auteur ; Jean-François Dhôte, Auteur Année de publication : 2008 Article en page(s) : pp 1851 - 1862 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique
[Termes IGN] distribution spatiale
[Termes IGN] facteur édaphique
[Termes IGN] Fagus sylvatica
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] krigeage
[Termes IGN] régression linéaire
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Aim : To improve our understanding of species range limits by studying how height growth, a trait related to plant survival, varies throughout the geographic range of Fagus sylvatica L. in France.
Location : The geographic range of beech in France, representing the western area of its European distribution, within which this species exhibits range distribution limits in both plains and mountainous areas.
Methods : A generalized linear regression model was used to link beech growth performance to environmental variables using data from 819 plots of the French National Forest Inventory (IFN) database. This model was applied to predict potential growth on 97,281 IFN plots covering the geographic range of beech in France. A kriging technique was used to interpolate estimated growth potential. Finally, the performance of plot-based predictions of potential growth from the map (i.e. map quality) was evaluated against an independent data set.
Results : The beech growth performance model highlighted the major impact of climate on potential tree growth at a broad spatial scale. The relevant climatic factors were related mainly to spring cold, summer heat, and winter temperatures and rainfall. The study also revealed the predictive power of soil parameters, which explained a large proportion of the variation in potential beech growth (c. 30%). Analyses of height growth patterns near the boundary of the species range in France showed that the limit only partly coincides with the growth decline caused by climatic and soil factors. Along parts of the range limit, the predicted potential for growth was high, suggesting that in these areas the limit of the range could be explained by other factors, such as competition or constraints on reproduction.
Main conclusions : The spatial variation in the potential height growth of Fagus sylvatica can be explained by environmental factors and is partly correlated with its regional range limits. By identifying areas where growth potential constrains the geographic range of species, environmental growth models can help to improve our knowledge of the spatial drivers of species geographic range limits and shed light on their response to future environmental changes.Numéro de notice : A2008-664 Affiliation des auteurs : IFN+Ext (1958-2011) Thématique : FORET Nature : Article DOI : 10.1111/j.1365-2699.2008.01930.x En ligne : http://doi.org/10.1111/j.1365-2699.2008.01930.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87106
in Journal of Biogeography > vol 35 n° 10 (October 2008) . - pp 1851 - 1862[article]Modelling house unit density from land cover metrics: a Midwestern US example / P. Hardin in Geocarto international, vol 23 n° 5 (October - November 2008)
[article]
Titre : Modelling house unit density from land cover metrics: a Midwestern US example Type de document : Article/Communication Auteurs : P. Hardin, Auteur ; M. Jackson, Auteur ; R. Jensen, Auteur Année de publication : 2008 Article en page(s) : pp 393 - 411 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse discriminante
[Termes IGN] densité de population
[Termes IGN] densité du bâti
[Termes IGN] données socio-économiques
[Termes IGN] estimation statistique
[Termes IGN] image Landsat-ETM+
[Termes IGN] Indiana (Etats-Unis)
[Termes IGN] régression multiple
[Termes IGN] spatial metricsRésumé : (Auteur) Geographic applications frequently require the gathering and analysis of socioeconomic data. For many nations, these data are normally collected through a census. However, during the intercensal period (5-10 years), these data lose their currency and must be updated. The objective of this project was to estimate housing unit density from Landsat ETM+ imagery in the Terre Haute, IN, USA, region. Modelling was done for 1945 census blocks in the study area containing 30 972 housing units. Landtype, as represented by six cluster classes, was used as the primary surrogate for housing unit density. The percentage of each landtype within the census blocks was calculated. Other landscape metrics representing landtype patch dominance and diversity were also calculated on a per-block basis. Housing unit density within the census block was then modelled as a function of those percentages and metrics using discriminant analysis and multiple regression. The simple correlation between the observed and modelled housing unit density was 0.79. The mean residual error produced by the model was 0.37 housing units per hectare. Copyright Taylor & Francis Numéro de notice : A2008-465 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040801950344 Date de publication en ligne : 05/09/2008 En ligne : https://doi.org/10.1080/10106040801950344 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29534
in Geocarto international > vol 23 n° 5 (October - November 2008) . - pp 393 - 411[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-08051 RAB Revue Centre de documentation En réserve L003 Disponible Predicting decay and round-wood end use volume in trembling aspen (Populus tremuloides Michx.) / Robert Schneider in Annals of Forest Science, Vol 65 n° 6 (September 2008)
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Titre : Predicting decay and round-wood end use volume in trembling aspen (Populus tremuloides Michx.) Titre original : Prévision du volume de bois carié et de la répartition par produits chez le peuplier faux-tremble (Populus tremuloides Michx.) Type de document : Article/Communication Auteurs : Robert Schneider, Auteur ; Martin Riopel, Auteur ; David Pothier, Auteur ; Lévis Côté, Auteur Année de publication : 2008 Article en page(s) : n° 608 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bois sur pied
[Termes IGN] gestion forestière
[Termes IGN] modèle mathématique
[Termes IGN] Populus tremuloides
[Termes IGN] Québec (Canada)
[Termes IGN] régression linéaire
[Termes IGN] volume en boisRésumé : (auteur) In Quebec (Canada), predicting net merchantable volume of standing trees is essential to adjust stumpage fees. Furthermore, round-wood end use is important in the provincial forest management context because it is used to split the allowable annual cut among the different mill types. A method relying on linear, binomial and cumulative logit regressions is proposed to predict both decay volume and round-wood end use volume. Tree age, height and quality, as well as ecological region, stand origin and presence of Phellinus tremulae (Bond.) Bond. & Boriss. and Ceratocystis fimbriata (Ellis & Halst.) fungi are the main factors that contribute to the presence and the proportion of decayed merchantable volume. Once the net merchantable volume is estimated, its division into round-wood end use is estimated through a series of steps involving the presence of Phellinus tremulae, saw log height, stem quality and size as explanatory variables. The first step is a multinomial regression which predicts the number of end uses (pulp wood, low-grade saw logs, saw logs, low-grade veneer, and veneer) that are present in the stem. A series of logistic regressions then determines the presence of each end use, with linear regressions predicting the round-wood volume of each end use. Numéro de notice : A2008-697 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1051/forest:2008042 Date de publication en ligne : 04/09/2008 En ligne : https://www.afs-journal.org/articles/forest/abs/2008/06/f07223/f07223.html Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=70781
in Annals of Forest Science > Vol 65 n° 6 (September 2008) . - n° 608[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité IFN-DIR-P000123 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt On weighted total least-squares adjustment for linear regression / Burkhard Schaffrin in Journal of geodesy, vol 82 n° 7 (July 2008)
[article]
Titre : On weighted total least-squares adjustment for linear regression Type de document : Article/Communication Auteurs : Burkhard Schaffrin, Auteur ; Andreas Wieser, Auteur Année de publication : 2008 Article en page(s) : pp 415 - 421 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] compensation par moindres carrés
[Termes IGN] pondération
[Termes IGN] régression linéaire
[Termes IGN] régression multipleRésumé : (Auteur) The weighted total least-squares solution (WTLSS) is presented for an errors-in-variables model with fairly general variance–covariance matrices. In particular, the observations can be heteroscedastic and correlated, but the variance–covariance matrix of the dependent variables needs to have a certain block structure. An algorithm for the computation of the WTLSS is presented and applied to a straight-line fit problem where the data have been observed with different precision, and to a multiple regression problem from recently published climate change research. Copyright Springer Numéro de notice : A2008-318 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-007-0190-9 En ligne : https://doi.org/10.1007/s00190-007-0190-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29311
in Journal of geodesy > vol 82 n° 7 (July 2008) . - pp 415 - 421[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-08061 RAB Revue Centre de documentation En réserve L003 Disponible 266-08062 RAB Revue Centre de documentation En réserve L003 Disponible Using remote sensing data to develop seasonal outlooks for Arctic regional sea-ice minimum extent / S. Drobot in Remote sensing of environment, vol 111 n° 2-3 (30 November 2007)PermalinkThe impact of relative radiometric calibration on the accuracy of kNN-predictions of forest attributes / T. Koukal in Remote sensing of environment, vol 110 n° 4 (30/10/2007)PermalinkEstimation et inférence du coefficient d'autorégression du modèle de Whittle sur un réseau d'interactions aléatoires faibles / D. Carillo in Revue internationale de géomatique, vol 17 n° 3-4 (septembre 2007 – février 2008)PermalinkEvaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm / M. Momeni in Remote sensing of environment, vol 106 n° 2 (30/01/2007)PermalinkAssessment of the processed SRTM-based elevation data by CGIAR using field from USA and Thailand and its relation to the terrain characteristics / Y. Gorokhovich in Remote sensing of environment, vol 104 n° 4 (30/10/2006)PermalinkIdentifying erosion areas at basin scale using remote sensing data and GIS: a case study in a geologically complex mountain basin in the Spanish Pyrenees / S. Begueria in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkApplication de l'approche par les équations de la régression multiple pour le passage d'un datum à l'autre (cas de l'Algérie) / A. Zeggai in XYZ, n° 106 (mars - mai 2006)PermalinkIncorporating remote sensing information in modelling house values: a regression tree approach / D. Yu in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 2 (February 2006)PermalinkRemote sensing of water quality for Burullus lake, Egypt / Kh. M. Dewidar in Geocarto international, vol 20 n° 3 (September - November 2005)PermalinkCalculating NDVI for NOAA/AVHRR data after atmospheric correction for extensive images using 6S code: a case study in the Marsabit district Kenya / K. Tachiiri in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)PermalinkEstimating tropical pasture quality at canopy level using band depth analysis with continuum removal in the visible domain / Onisimo Mutanga in International Journal of Remote Sensing IJRS, vol 26 n° 6 (March 2005)PermalinkLeaf Area Index measurements in a tropical moist forest: a case study from Costa Rica / M. Kalacska in Remote sensing of environment, vol 91 n° 2 (30/05/2004)PermalinkIntegrating imaging spectroscopy and neural networks to map grass quality in the Kruger National Park, South Africa / Onisimo Mutanga in Remote sensing of environment, vol 90 n° 1 (15/03/2004)PermalinkPredicting in situ pasture quality in the Kruger National Park, South Africa, using continuum-removed absorption features / Onisimo Mutanga in Remote sensing of environment, vol 89 n° 3 (15/02/2004)PermalinkApproaches to fractional land cover and continuous field mapping: a comparative assessment over the BOREAS [BOReal Ecosystem Atmosphere Study] study region / R. Fernandes in Remote sensing of environment, vol 89 n° 2 (30/01/2004)PermalinkActivité, chômage et territoires en France : analyse spatiale et modélisation locale / Jean-Marc Zaninetti (2003)PermalinkLes statistiques en géographie / Pierre Dumolard (2003)PermalinkEtude des relations spécifiques entre végétation et roches du massif de Ronda par télédétection hyperspectrale AVIRIS (1991) et HYMAP (2000) / Guillaume Hallereau (2001)PermalinkInitiation à l'analyse des données / Jean de Lagarde (2000)PermalinkInitiation aux pratiques statistiques en géographie, 4e édition entièrement refondue / Groupe Chadule (1997)PermalinkMéthodes statistiques de l'ingénieur, 2. Volume 2, Méthodes d'analyse de régression linéaire, modèle orthogonal, expérience factorielle et polynômes orthogonaux, méthodes de sélection des variables / G. Baillargeon (1996)PermalinkContribution à la résolution du problème du pixel mixte en vue de l'amélioration de l'estimation de la productivité primaire nette en zone sahélienne (couplage haute et basse résolution spatiale) / Selma Cherchali (1995)PermalinkResiduals and influence in regression / R.D. Cook (1995)PermalinkStatistique exploratoire multidimensionnelle / Ludovic Lebart (1995)PermalinkQualitätssteigerung der automatischen Höhenmessung in Stereobildern durch flächenbasierte Kernlinienkorrelation / J. Piechel (1991)PermalinkLe modèle euclidien en analyse de données / J. Pontier (1990)PermalinkGeometrical geodesy techniques in Goddard Earth Models [GEM] / F.J. Lerch (1973)Permalink