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Local entropy map : a nonparametric approach to detecting spatially varying multivariate relationships / D. Guo in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)
[article]
Titre : Local entropy map : a nonparametric approach to detecting spatially varying multivariate relationships Type de document : Article/Communication Auteurs : D. Guo, Auteur Année de publication : 2010 Article en page(s) : pp 1367 - 1389 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse multivariée
[Termes IGN] entropie
[Termes IGN] régression linéaire
[Termes IGN] relation spatiale
[Termes IGN] variableRésumé : (Auteur) The relationship between two or more variables may change over the geographic space. The change can be in parameter values (e.g., regression coefficients) or even in relation forms (e.g., linear, quadratic, or exponential). Existing local spatial analysis methods often assume a relationship form (e.g., a linear regression model) for all regions and focus only on the change in parameter values. Therefore, they may not be able to discover local relationships of different forms simultaneously. This research proposes a nonparametric approach, a local entropy map, which does not assume a prior relationship form and can detect the existence of multivariate relationships regardless of their forms. The local entropy map calculates an approximation of the Rényi entropy for the multivariate data in each local region (in the geographic space). Each local entropy value is then converted to a p-value by comparing to a distribution of permutation entropy values for the same region. All p-values (one for each local region) are processed by several statistical tests to control the multiple-testing problem. Finally, the testing results are mapped and allow analysts to locate and interactively examine significant local relationships. The method is evaluated with a series of synthetic data sets and a real data set. Numéro de notice : A2010-406 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658811003619143 En ligne : https://doi.org/10.1080/13658811003619143 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30599
in International journal of geographical information science IJGIS > vol 24 n° 9 (september 2010) . - pp 1367 - 1389[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2010051 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010052 RAB Revue Centre de documentation En réserve L003 Disponible Predicting southeastern forest canopy heights and fire fuel models using GLAS data / M. Ashworth in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 8 (August 2010)
[article]
Titre : Predicting southeastern forest canopy heights and fire fuel models using GLAS data Type de document : Article/Communication Auteurs : M. Ashworth, Auteur ; D. Evans, Auteur ; W. Cooke, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 915 - 922 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] altimétrie satellitaire par laser
[Termes IGN] combustible
[Termes IGN] données altimétriques
[Termes IGN] données ICEsat
[Termes IGN] forêt
[Termes IGN] hauteur des arbres
[Termes IGN] Mississippi (Etats-Unis)
[Termes IGN] prévision
[Termes IGN] régression logistique
[Termes IGN] risque naturelRésumé : (Auteur) The Geoscience Laser Altimeter System (GLAS) is a waveform lidar system carried on board the Ice, Cloud, and Elevation Satellite (ICESat). This study tested the use of GLAS data, from the L3e and L3g campaigns, to estimate total canopy height. GLAS footprint locations were sampled for reference data. The Glas-derived and field-derived canopy heights portrayed good correlation (R2 = 0.8354). This study also examined two representative fire fuel models within forests in East-Central Mississippi. GLAS Waveforms were compared with field data for fire fuel models 9 and 10 of the fire fuel models described by Anderson (1982). GLAS data intensities were extracted and averaged to create predictive variables. Two variables were applied in Logistic regression to predict the probability of belonging to either fuel model (overall accuracy = 0.6875). Numéro de notice : A2010-330 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.76.8.915 En ligne : https://doi.org/10.14358/PERS.76.8.915 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30524
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 8 (August 2010) . - pp 915 - 922[article]Recent changes in forest productivity: An analysis of national forest inventory data for common beech (Fagus sylvatica L.) in north-eastern France / Marie Charru in Forest ecology and management, vol 260 n° 5 (30 July 2010)
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Titre : Recent changes in forest productivity: An analysis of national forest inventory data for common beech (Fagus sylvatica L.) in north-eastern France Type de document : Article/Communication Auteurs : Marie Charru, Auteur ; Ingrid Seynave, Auteur ; François Morneau , Auteur ; Jean-Daniel Bontemps , Auteur Année de publication : 2010 Article en page(s) : pp 864 - 874 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique
[Termes IGN] croissance des arbres
[Termes IGN] Fagus sylvatica
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] modèle de croissance végétale
[Termes IGN] productivité
[Termes IGN] régression
[Termes IGN] sécheresse
[Termes IGN] stress hydrique
[Termes IGN] surface terrière
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Changes in forest growth have been found in European forests and worldwide. However most observations have been derived from samples of restricted size, whose representativeness at a regional forest scale is questionable. National forest inventories provide an interesting perspective for both regional scale assessment of these trends and the investigation of their variations over environmental gradients, but have been little used.
The aim of our work was to carry out an exploratory modelling analysis of productivity changes, based on the French national forest inventory data. The objectives were: (i) to assess recent trends in forest productivity and to investigate a possible recent decline as found in previous studies; and (ii) to investigate trend variations relative to site fertility factors. We focused on pure and even-aged stands of common beech (Fagus sylvatica L.) in north-eastern France, already documented from previous studies based on retrospective data.
The dataset consisted of 925 temporary plots inventoried between 1979 and 2007. We developed two regression models of stand basal area increment (BAI) against stand developmental stage (dominant height), site fertility (site index in the SI model, environmental indicators in the EI model) and stand density (relative density index). The effect of calendar date was tested in order to investigate possible historical trends. Site fertility–date interactions were also tested to investigate the site-dependence of trends.
The fitted models showed a high goodness of fit (adj. R2 over 0.69). We showed an increase in stand BAI of 27.8% between 1977 and 1987, (10.4% between 1979 and 1987). Stand BAI then decreased by approximately 5% between 1987 and 2004. We thus confirmed the hypothesis of a recent decline in common beech vitality in its temperate range. The chronologies clearly depicted the effect of severe drought events (1976 and 2003), pointing out the predominant role of water availability in the changes observed. No significant site-dependence of the trend was identified.Numéro de notice : A2010-648 Affiliation des auteurs : IFN+Ext (1958-2011) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2010.06.005 Date de publication en ligne : 07/07/2010 En ligne : https://doi.org/10.1016/j.foreco.2010.06.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90993
in Forest ecology and management > vol 260 n° 5 (30 July 2010) . - pp 864 - 874[article]Integer least-squares theory for the GNSS compass / Peter J.G. Teunissen in Journal of geodesy, vol 84 n° 7 (July 2010)
[article]
Titre : Integer least-squares theory for the GNSS compass Type de document : Article/Communication Auteurs : Peter J.G. Teunissen, Auteur Année de publication : 2010 Article en page(s) : pp 433 - 447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] altitude
[Termes IGN] ambiguïté entière
[Termes IGN] données GNSS
[Termes IGN] méthode des moindres carrés
[Termes IGN] positionnement par GNSS
[Termes IGN] résolution d'ambiguïtéRésumé : (Auteur) Global navigation satellite system (GNSS) carrier phase integer ambiguity resolution is the key to high precision positioning and attitude determination. In this contribution, we develop new integer least-squares (ILS) theory for the GNSS compass model, together with efficient integer search strategies. It extends current unconstrained ILS theory to the nonlinearly constrained case, an extension that is particularly suited for precise attitude determination. As opposed to current practice, our method does proper justice to the a priori given information. The nonlinear baseline constraint is fully integrated into the ambiguity objective function, thereby receiving a proper weighting in its minimization and providing guidance for the integer search. Different search strategies are developed to compute exact and approximate solutions of the nonlinear constrained ILS problem. Their applicability depends on the strength of the GNSS model and on the length of the baseline. Two of the presented search strategies, a global and a local one, are based on the use of an ellipsoidal search space. This has the advantage that standard methods can be applied. The global ellipsoidal search strategy is applicable to GNSS models of sufficient strength, while the local ellipsoidal search strategy is applicable to models for which the baseline lengths are not too small. We also develop search strategies for the most challenging case, namely when the curvature of the non-ellipsoidal ambiguity search space needs to be taken into account. Two such strategies are presented, an approximate one and a rigorous, somewhat more complex, one. The approximate one is applicable when the fixed baseline variance matrix is close to diagonal. Both methods make use of a search and shrink strategy. The rigorous solution is efficiently obtained by means of a search and shrink strategy that uses non quadratic, but easy-to-evaluate, bounding functions of the ambiguity objective function. The theory presented is generally valid and it is not restricted to any particular GNSS or combination of GNSSs. Its general applicability also applies to the measurement scenarios (e.g. single-epoch vs. multi-epoch, or single-frequency vs. multi-frequency). In particular it is applicable to the most challenging case of unaided, single frequency, single epoch GNSS attitude determination. The success rate performance of the different methods is also illustrated. Numéro de notice : A2010-569 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-010-0380-8 Date de publication en ligne : 02/04/2010 En ligne : https://doi.org/10.1007/s00190-010-0380-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30761
in Journal of geodesy > vol 84 n° 7 (July 2010) . - pp 433 - 447[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-2010071 SL Revue Centre de documentation Revues en salle Disponible Spatial autoregressive model for population estimation at the census block level using lidar-derived building volume information / F. Qiu in Cartography and Geographic Information Science, vol 37 n° 3 (July 2010)
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Titre : Spatial autoregressive model for population estimation at the census block level using lidar-derived building volume information Type de document : Article/Communication Auteurs : F. Qiu, Auteur ; H. Sridharan, Auteur ; Y. Chun, Auteur Année de publication : 2010 Article en page(s) : pp 239 - 257 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] auto-régression
[Termes IGN] bati
[Termes IGN] densité de population
[Termes IGN] données lidar
[Termes IGN] recensement démographiqueRésumé : (Auteur) The collection of population by census is laborious, time consuming and expensive, and often only available at limited temporal and spatial scales. Remote sensing based population estimation has been employed as a viable alternative for providing population estimates based on indicators that make use of two-dimensional areal information of buildings or one-dimensional length information of roads The recent advancement of LIDAR remote sensing provides the opportunity to add the third dimension of height information into the modeling of population distribution. This study explores the use of building volumes derived from LIDAR as a population indicator. Our study shows the volume-based model consistently outperforms area and length-based models at the census block level. Additionally, the study examines the impact of spatial autocorrelation, the presence of which violates the independence assumption of the traditional OLS models. To address this problem, a spatial autoregressive model is employed to account for the spatial autocorrelation in the regression residuals. By incorporating the spatial pattern, the volume-based spatial error model achieves a goodness of fit (R2) of 85 percent, with a significant improvement in model performance and estimation accuracies in comparison with its OLS counterpart. The study confirms building volume as a more valuable indicator and estimator for block level population distribution, especially if an appropriate spatial autoregressive model is adopted. Numéro de notice : A2010-358 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1559/152304010792194949 En ligne : https://doi.org/10.1559/152304010792194949 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30552
in Cartography and Geographic Information Science > vol 37 n° 3 (July 2010) . - pp 239 - 257[article]Réservation
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