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Exploring the impact of dasymetric refinement on spatiotemporal small area estimates / Barbara P. Buttenfield in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)
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Titre : Exploring the impact of dasymetric refinement on spatiotemporal small area estimates Type de document : Article/Communication Auteurs : Barbara P. Buttenfield, Auteur ; Matt Ruther, Auteur ; Stefan Leyk, Auteur Année de publication : 2015 Article en page(s) : pp 449 - 459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] démographie
[Termes IGN] données spatiotemporelles
[Termes IGN] figuration de la densité
[Termes IGN] interpolation
[Termes IGN] méthodologieRésumé : (Auteur) Comparing demographic small area estimates across multiple time periods is hindered by boundary changes in census enumeration units. Areal interpolation can resolve temporal incompatibilities, but underlying assumptions of uniform population density within units is sometimes flawed and results in distorted estimates. Dasymetric modeling refines spatial precision by limiting areal interpolation to the most likely residential areas. Here, a systematic examination of the impacts of dasymetric refinement on temporal interpolation accuracy compares errors that emerge as a consequence of differing time spans. This paper compares the accuracy of three commonly utilized methods of areal interpolation for temporal analysis of population data over the 1990–2010 decades. It examines whether multi-temporal dasymetric refinement prior to areal interpolation improves the accuracy of small area estimates, comparing two different demographic contexts. Data sets include tract-level demography exhibiting dramatic growth (Las Vegas, Nevada), and relative stability (Pittsburgh, Pennsylvania). Areal interpolation with and without the dasymetric refinement is validated using block level data. The dasymetrically refined target density weighting (TDW) provides the overall best performance for the 2000 source data and the expectation maximization (EM) method gives the overall best performance for the 1990 source data; effects of refinement are more prominent in areas of faster population change. Numéro de notice : A2015-561 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1065206 En ligne : https://doi.org/10.1080/15230406.2015.1065206 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77604
in Cartography and Geographic Information Science > Vol 42 n° 5 (November 2015) . - pp 449 - 459[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2015051 RAB Revue Centre de documentation En réserve L003 Disponible A rapid approach for automated comparison of independently derived stream networks / Lauwrence V. Stanislawski in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)
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Titre : A rapid approach for automated comparison of independently derived stream networks Type de document : Article/Communication Auteurs : Lauwrence V. Stanislawski, Auteur ; Barbara P. Buttenfield, Auteur ; Ariel Doumbouya, Auteur Année de publication : 2015 Article en page(s) : pp 435 - 448 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse comparative
[Termes IGN] base de données hydrographiques
[Termes IGN] bassin hydrographique
[Termes IGN] cartographie des flux
[Termes IGN] modélisation spatiale
[Termes IGN] réseau hydrographiqueRésumé : (Auteur) This paper presents an improved coefficient of line correspondence (CLC) metric for automatically assessing the similarity of two different sets of linear features. Elevation-derived channels at 1:24,000 scale (24K) are generated from a weighted flow-accumulation model and compared to 24K National Hydrography Dataset (NHD) flowlines. The CLC process conflates two vector datasets through a raster line-density differencing approach that is faster and more reliable than earlier methods. Methods are tested on 30 subbasins distributed across different terrain and climate conditions of the conterminous United States. CLC values for the 30 subbasins indicate 44–83% of the features match between the two datasets, with the majority of the mismatching features comprised of first-order features. Relatively lower CLC values result from subbasins with less than about 1.5 degrees of slope. The primary difference between the two datasets may be explained by different data capture criteria. First-order, headwater tributaries derived from the flow-accumulation model are captured more comprehensively through drainage area and terrain conditions, whereas capture of headwater features in the NHD is cartographically constrained by tributary length. The addition of missing headwaters to the NHD, as guided by the elevation-derived channels, can substantially improve the scientific value of the NHD. Numéro de notice : A2015-560 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1060869 En ligne : https://doi.org/10.1080/15230406.2015.1060869 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77602
in Cartography and Geographic Information Science > Vol 42 n° 5 (November 2015) . - pp 435 - 448[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2015051 RAB Revue Centre de documentation En réserve L003 Disponible Polygonal clustering analysis using multilevel graph-partition / Wanyi Wang in Transactions in GIS, vol 19 n° 5 (October 2015)
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Titre : Polygonal clustering analysis using multilevel graph-partition Type de document : Article/Communication Auteurs : Wanyi Wang, Auteur ; Shihong Du, Auteur ; Zhou Guo, Auteur ; Liqun Luo, Auteur Année de publication : 2015 Article en page(s) : pp 716 – 736 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse comparative
[Termes IGN] analyse de groupement
[Termes IGN] connexité (graphes)
[Termes IGN] distance
[Termes IGN] données spatiotemporelles
[Termes IGN] figure géométrique
[Termes IGN] groupe
[Termes IGN] partition des données
[Termes IGN] polygone
[Termes IGN] similitudeRésumé : (auteur) Existing methods of spatial data clustering have focused on point data, whose similarity can be easily defined. Due to the complex shapes and alignments of polygons, the similarity between non-overlapping polygons is important to cluster polygons. This study attempts to present an efficient method to discover clustering patterns of polygons by incorporating spatial cognition principles and multilevel graph partition. Based on spatial cognition on spatial similarity of polygons, four new similarity criteria (i.e. the distance, connectivity, size and shape) are developed to measure the similarity between polygons, and used to visually distinguish those polygons belonging to the same clusters from those to different clusters. The clustering method with multilevel graph-partition first coarsens the graph of polygons at multiple levels, using the four defined similarities to find clusters with maximum similarity among polygons in the same clusters, then refines the obtained clusters by keeping minimum similarity between different clusters. The presented method is a general algorithm for discovering clustering patterns of polygons and can satisfy various demands by changing the weights of distance, connectivity, size and shape in spatial similarity. The presented method is tested by clustering residential areas and buildings, and the results demonstrate its usefulness and universality. Numéro de notice : A2015-684 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12124 En ligne : http://dx.doi.org/10.1111/tgis.12124 Format de la ressource électronique : Url artticle Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78325
in Transactions in GIS > vol 19 n° 5 (October 2015) . - pp 716 – 736[article]Precision comparison and analysis of four online free PPP services in static positioning and tropospheric delay estimation / Qiuying Guo in GPS solutions, vol 19 n° 4 (october 2015)
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Titre : Precision comparison and analysis of four online free PPP services in static positioning and tropospheric delay estimation Type de document : Article/Communication Auteurs : Qiuying Guo, Auteur Année de publication : 2015 Article en page(s) : pp 537 - 544 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] analyse comparative
[Termes IGN] logiciel libre
[Termes IGN] positionnement ponctuel précis
[Termes IGN] positionnement statique
[Termes IGN] précision des données
[Termes IGN] retard troposphériqueRésumé : (auteur) Observation data sets from three different periods and 23 International GNSS Service (IGS) stations spread over the world were processed in static mode using four online free precise point positioning (PPP) services: Automatic Precise Positioning Service (APPS), GPS Analysis and Positioning Software, Canadian Spatial Reference System precise point positioning service, and Magic-PPP. The estimated positions of the 23 IGS stations were compared with the published values. The estimated zenith tropospheric delays (ZTDs) at these stations were compared with the corresponding IGS troposphere products published on the IGS Web site. Furthermore, in order to analyze PPP precision for short observation periods, GPS observation data sets with a sampling rate of 1 s collected by one CORS station were also processed by the four online PPP services. Calculation shows that the precision of daily solutions for north and east (N/E) components estimated by the four online PPP services can reach millimeter level, the precision of ellipsoid elevation (H) can reach 1–2 cm, and precision of ZTDs estimation results is approximately 1–2 cm. Compared with the corresponding values published on the IGS Web site, the precision of ZTDs estimated by APPS is higher than those estimated by the other three PPP online services; the differences between ZTDs by APPS and IGS values are mostly within ±1 cm. For PPP with short observation periods, the precision of N/E components within 2, 1, and 0.5 h observation periods can reach about 2–3, 2–7, and 3–8 cm, respectively, while the precision of H components is about 3–5, 5–12, and 10–18 cm, respectively. Numéro de notice : A2015-464 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1007/s10291-014-0413-5 Date de publication en ligne : 11/10/2014 En ligne : https://doi.org/10.1007/s10291-014-0413-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77147
in GPS solutions > vol 19 n° 4 (october 2015) . - pp 537 - 544[article]A semiautomated probabilistic framework for tree-cover delineation from 1-m NAIP imagery using a high-performance computing architecture / S. Basu in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)
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Titre : A semiautomated probabilistic framework for tree-cover delineation from 1-m NAIP imagery using a high-performance computing architecture Type de document : Article/Communication Auteurs : S. Basu, Auteur ; Sangram Ganguly, Auteur ; Ramakrishna R. Nemani, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 5690 - 5708 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] architecture des systèmes d'information
[Termes IGN] classification non dirigée
[Termes IGN] couvert forestier
[Termes IGN] Etats-Unis
[Termes IGN] réseau neuronal artificiel
[Termes IGN] segmentation d'imageRésumé : (Auteur) Accurate tree-cover estimates are useful in deriving above-ground biomass density estimates from very high resolution (VHR) satellite imagery data. Numerous algorithms have been designed to perform tree-cover delineation in high-to-coarse-resolution satellite imagery, but most of them do not scale to terabytes of data, typical in these VHR data sets. In this paper, we present an automated probabilistic framework for the segmentation and classification of 1-m VHR data as obtained from the National Agriculture Imagery Program (NAIP) for deriving tree-cover estimates for the whole of Continental United States, using a high-performance computing architecture. The results from the classification and segmentation algorithms are then consolidated into a structured prediction framework using a discriminative undirected probabilistic graphical model based on conditional random field, which helps in capturing the higher order contextual dependence relations between neighboring pixels. Once the final probability maps are generated, the framework is updated and retrained by incorporating expert knowledge through the relabeling of misclassified image patches. This leads to a significant improvement in the true positive rates and reduction in false positive rates (FPRs). The tree-cover maps were generated for the state of California, which covers a total of 11 095 NAIP tiles and spans a total geographical area of 163 696 sq. miles. Our framework produced correct detection rates of around 88% for fragmented forests and 74% for urban tree-cover areas, with FPRs lower than 2% for both regions. Comparative studies with the National Land-Cover Data algorithm and the LiDAR high-resolution canopy height model showed the effectiveness of our algorithm for generating accurate high-resolution tree-cover maps. Numéro de notice : A2015-753 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2428197 Date de publication en ligne : 26/05/2015 En ligne : https://doi.org/10.1109/TGRS.2015.2428197 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78743
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 10 (October 2015) . - pp 5690 - 5708[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015101 SL Revue Centre de documentation Revues en salle Disponible Spatial information divergence: using global and local indices to compare geographical masks applied to crime data / Ourania Kounad in Transactions in GIS, vol 19 n° 5 (October 2015)
PermalinkTime variable Earth’s gravity field from SLR satellites / Krzysztof Sosnica in Journal of geodesy, vol 89 n° 10 (october 2015)
PermalinkAnalysis of different methods for 3D reconstruction of natural surfaces from parallel-axes UAV images / Annette Eltner in Photogrammetric record, vol 30 n° 151 (September - November 2015)
PermalinkComparison of temporally classified and unclassified map animations / Salla Multimäki in Cartographic perspectives, n° 82 (2015)
PermalinkLe contrôle de la végétation dans les emprises ferroviaires : une approche multi-scalaire / Flavien Viguier in XYZ, n° 144 (septembre - novembre 2015)
PermalinkFormalisation des interactions spatiales dans les modèles multi-agents. Essai d’analyse comparative / Hélène Mathian in Revue internationale de géomatique, vol 25 n° 3 (septembre - novembre 2015)
PermalinkIdentification of movements using different geodetic methods of deformation analysis / Zoran Sušić in Geodetski vestnik, vol 59 n° 3 (September - November 2015)
PermalinkMeasuring the effectiveness of various features for thematic information extraction from very high resolution remote sensing imagery / X. Chen in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)
PermalinkMorphological interpretations of glacial forms by spatial analysis in the area surrounding lake Simcoe, Ontario / Victoria R. Balkwill Tweedie in Cartographica, vol 50 n° 3 (Fall 2015)
PermalinkNote technique : Apport de la photogrammétrie au suivi topographique de la flèche littorale de Joal (Sénégal) / Mamadou Sadio in Photo interprétation, European journal of applied remote sensing, vol 51 n° 3 (septembre 2015)
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