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A new climatology of maximum and minimum temperature (1951–2010) in the Spanish mainland: a comparison between three different interpolation methods / D. Peña-Angulo in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2109 - 2132 Titre : A new climatology of maximum and minimum temperature (1951–2010) in the Spanish mainland: a comparison between three different interpolation methods Type de document : Article/Communication Auteurs : D. Peña-Angulo, Auteur ; M. Brunetti, Auteur ; N. Cortesi, Auteur ; J.C. Gonzalez-Hidalgo, Auteur Année de publication : 2016 Article en page(s) : pp 2109 - 2132 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] base de données thématiques [Termes IGN] carte thématique [Termes IGN] données météorologiques [Termes IGN] interpolation spatiale [Termes IGN] krigeage [Termes IGN] modèle de régression [Termes IGN] température au sol [Termes IGN] traitement géométrique de données [Termes IGN] variation diurne Résumé : (Auteur) This study presents a new climatology of monthly temperature for mainland Spain (1951–2010), performed with the highest quality and spatially dense, up-to-date monthly temperature dataset available in the study area (MOTEDAS). Three different interpolation techniques were evaluated: the Local Weighted Linear Regression (LWLR), the Regression-Kriging (RK) and the Regression-Kriging with stepwise selection (RKS), a modification of RK. The performances of the different models were evaluated by the leave-one-out validation procedure, comparing the results from the models with the original data and calculating different error measurements. The three techniques performed better for Tmax than for Tmin, and for the cold, rather than warmer months, also at lower altitude than highland areas. The best results were achieved with LWLR applied for the first time on temperatures in the Spanish mainland. This method improved the accuracy of the temperature reconstruction with respect to RK and RKS. We present a collection of Tmax and Tmin monthly charts, using the same temperature legend to prevent any visual bias in the interpretation of the results. The dataset is available upon request. Numéro de notice : A2016-750 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1155712 En ligne : http://dx.doi.org/10.1080/13658816.2016.1155712 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82336 [article]

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Rendering interior-filled polygonal vector data in a virtual globe / Mengyun Zhou in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2208 - 2229 Titre : Rendering interior-filled polygonal vector data in a virtual globe Type de document : Article/Communication Auteurs : Mengyun Zhou, Auteur ; Jing Chen, Auteur ; Jianya Gong, Auteur Année de publication : 2016 Article en page(s) : pp 2208 - 2229 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données vectorielles [Termes IGN] Global Multi-resolution Terrain Elevation Data 2010 [Termes IGN] globe virtuel [Termes IGN] modèle numérique de surface [Termes IGN] modélisation 3D [Termes IGN] polygone [Termes IGN] rendu (géovisualisation) [Termes IGN] temps réel [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Polygonal vector data are important for representing countries, lakes, residential settlements, and other polygonal features. The proper representation of polygonal vector data is the basis of efficient rendering and picking and quick access and display of the analysis results based on polygons (e.g., 3D overlaying and surface area measurement in mountainous areas) in a virtual globe. However, polygonal vector data are displayed using texture-based or boundary-based approaches in most existing virtual globes. The texture-based approach cannot easily support interactive operations (e.g., picking) and spatial analysis (e.g., adjacency analysis and spatial measurement). The boundary-based approach treats the holes as independent features; however, it is difficult to recognize which boundaries constitute a polygon. Further research is needed on how to better organize the polygons to support efficient rendering, picking, and analysis in a virtual globe. In this article, we propose two methods to drape interior filled 2D polygons onto a multi-resolution 3D terrain. Both proposed methods combine polygon clipping and polygon triangulation. The difference between the two methods is in the way holes are eliminated. Method 1 recursively subdivides a terrain triangle until the child-triangles contain no holes; every resulting clipped polygon, which is then triangulated, contains no holes. Method 2 directly clips a polygon against a terrain triangle and creates bridge edges to transform the resulting polygons with holes to degenerate polygons that are further triangulated. The experimental results demonstrate that both proposed methods can efficiently process polygons with holes resulting in appropriate numbers of triangles. The processed interior-filled polygons remain close to the terrain surface in a virtual globe. Both proposed methods support real-time rendering of polygonal vector data in a virtual globe. Numéro de notice : A2016-751 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1165819 En ligne : http://dx.doi.org/10.1080/13658816.2016.1165819 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82340 [article]

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Enabling point pattern analysis on spatial big data using cloud computing: optimizing and accelerating Ripley’s K function / Guiming Zhang in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2230 - 2252 Titre : Enabling point pattern analysis on spatial big data using cloud computing: optimizing and accelerating Ripley’s K function Type de document : Article/Communication Auteurs : Guiming Zhang, Auteur ; Qunying Huang, Auteur ; A - Xing Zhu, Auteur Année de publication : 2016 Article en page(s) : pp 2230 - 2252 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse de données [Termes IGN] classification [Termes IGN] fonction K de Ripley [Termes IGN] informatique en nuage [Termes IGN] optimisation (mathématiques) [Termes IGN] pondération [Termes IGN] traitement de données localisées Résumé : (Auteur) Performing point pattern analysis using Ripley’s K function on point events of large size is computationally intensive as it involves massive point-wise comparisons, time-consuming edge effect correction weights calculation, and a large number of simulations. This article presented two strategies to optimize the algorithm for point pattern analysis using Ripley’s K function and utilized cloud computing to further accelerate the optimized algorithm. The first optimization sorted the points on their x and y coordinates and thus narrowed the scope of searching for neighboring points down to a rectangular area around each point in estimating K function. Using the actual study area in computing edge effect correction weights is essential to estimate an unbiased K function, but is very computationally intensive if the study area is of complex shape. The second optimization reused the previously computed weights to avoid repeating expensive weights calculation. The optimized algorithm was then parallelized using Open Multi-Processing (OpenMP) and hybrid Message Passing Interface (MPI)/OpenMP on the cloud computing platform. Performance testing showed that the optimizations effectively accelerated point pattern analysis using K function by a factor of 8 using both the sequential version and the OpenMP-parallel version of the optimized algorithm. While the OpenMP-based parallelization achieved good scalability with respect to the number of CPU cores utilized and the problem size, the hybrid MPI/OpenMP-based parallelization significantly shortened the time for estimating K function and performing simulations by utilizing computing resources on multiple computing nodes. Computational challenge imposed by point pattern analysis tasks on point events of large size involving a large number of simulations can be addressed by utilizing elastic, distributed cloud resources. Numéro de notice : A2016-752 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1170836 En ligne : http://dx.doi.org/10.1080/13658816.2016.1170836 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82343 [article]

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Location-based anonymization: comparison and evaluation of the Voronoi-based aggregation system / William Lee Croft in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2253 - 2275 Titre : Location-based anonymization: comparison and evaluation of the Voronoi-based aggregation system Type de document : Article/Communication Auteurs : William Lee Croft, Auteur ; Wei Shi, Auteur ; Jörg-Rüdiger Sack, Auteur ; Jean-Pierre Corriveau, Auteur Année de publication : 2016 Article en page(s) : pp 2253 - 2275 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] anonymisation [Termes IGN] diagramme de Voronoï [Termes IGN] partitionnement [Termes IGN] santé [Termes IGN] service fondé sur la position Résumé : (Auteur) Hospitals and health care organizations collect large amounts of detailed health care data that is in high demand by researchers. Thus, the possessors of such data are in need of methods that allow for this data to be released without compromising the confidentiality of the individuals to whom it pertains. As the geographic aspect of this data is becoming increasingly relevant for research being conducted, it is important for an anonymization process to pay due attention to the geographic attributes of such data. In this paper, a novel system for health care data anonymization is presented. At the core of the system is the aggregation of an initial regionalization guided by the use of a Voronoi diagram. We conduct a comparison with another location-based system of anonymization, GeoLeader. We show that our system is capable of producing results of a comparable quality with a much faster running time. Numéro de notice : A2016-753 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1170836 En ligne : http://dx.doi.org/10.1080/13658816.2016.1170836 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82414 [article]

Exemplaires(1)

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Spatio-temporal analysis of crime by developing a method to detect critical distances for the Knox test / Moshen Kalantari in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2302 - 2320 Titre : Spatio-temporal analysis of crime by developing a method to detect critical distances for the Knox test Type de document : Article/Communication Auteurs : Moshen Kalantari, Auteur ; Bamshad Yaghmaei, Auteur ; Somaye Ghezelbash, Auteur Année de publication : 2016 Article en page(s) : pp 2302 - 2320 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] données spatiotemporelles [Termes IGN] fonction K de Ripley [Termes IGN] interaction spatiale [Termes IGN] plus proche voisin, algorithme du [Termes IGN] protection civile [Termes IGN] regroupement de données [Termes IGN] sécurité informatique Résumé : (Auteur) The present study examined and compared spatio–temporal interaction of the theft of car parts, shop burglary and motorcycle theft in the central business district (CBD) of the city of Zanjan in Iran. The Knox test was selected to detect spatio–temporal interaction. This test has been criticized as being subjective because the selection of critical distances is arbitrary; thus, a method is proposed to detect critical distances in the Knox test using the mean distance, natural breaks classification of nearest neighbour (NN) distance and Ripley’s k function. Results show obvious differences between the spatio-temporal clusters of the three sets of crimes. They also indicate that changing the spatial cut-offs within a cluster creates different temporal patterns. Of the three criteria for determining critical distances, NN classification based on natural breaks showed more interactions than the other methods. Numéro de notice : A2016-754 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1174867 En ligne : http://dx.doi.org/10.1080/13658816.2016.1174867 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82415 [article]

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Parallel cartographic modeling: a methodology for parallelizing spatial data processing / Eric Shook in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2355 - 2376 Titre : Parallel cartographic modeling: a methodology for parallelizing spatial data processing Type de document : Article/Communication Auteurs : Eric Shook, Auteur ; Michael E. Hodgson, Auteur ; Shaowen Wang, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 2355 - 2376 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] langage de programmation [Termes IGN] Map Algebra [Termes IGN] modèle conceptuel de données localisées [Termes IGN] Python (langage de programmation) [Termes IGN] traitement de données localisées [Termes IGN] traitement parallèle [Termes IGN] WebSIG Résumé : (Auteur) This article establishes a new methodological framework for parallelizing spatial data processing called parallel cartographic modeling, which extends the widely adopted cartographic modeling framework. Parallel cartographic modeling adds a novel component called a Subdomain, which serves as the elemental unit of parallel computation. Four operators are also added to express parallel spatial data processing, namely scheduler, decomposition, executor, and iteration. A parallel cartographic modeling language (PCML) is developed based on the parallel cartographic modeling framework, which is designed for usability, programmability, and scalability. PCML is a domain-specific language implemented in Python for the domain of cyberGIS. A key feature of PCML is that it supports automatic parallelization of cartographic modeling scripts; thus, allowing the analyst to develop models in the familiar cartographic modeling language in a Python syntax. PCML currently supports more than 70 operations and new operations can be easily implemented in as little as three lines of PCML code. Experimental results using the National Science Foundation-supported Resourcing Open Geospatial Education and Research computational resource demonstrate that PCML efficiently scales to 16 cores and can process gigabytes of spatial data in parallel. PCML is shown to support multiple decomposition strategies, decomposition granularities, and iteration strategies that be generically applied to any operation implemented in PCML. Numéro de notice : A2016-755 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1172714 En ligne : http://dx.doi.org/10.1080/13658816.2016.1172714 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82420 [article]

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ASSURE : a model for the simulation of urban expansion and intra-urban social segregation / Karolien Vermeiren in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2377 - 2400 Titre : ASSURE : a model for the simulation of urban expansion and intra-urban social segregation Type de document : Article/Communication Auteurs : Karolien Vermeiren, Auteur ; Matthias Vanmaercke, Auteur ; Joris Beckers, Auteur ; Anton Van Rompaey, Auteur Année de publication : 2016 Article en page(s) : pp 2377 - 2400 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] accessibilité [Termes IGN] aide à la décision [Termes IGN] croissance urbaine [Termes IGN] géographie sociale [Termes IGN] modèle de simulation [Termes IGN] modèle dynamique [Termes IGN] planification urbaine [Termes IGN] simulation spatiale [Termes IGN] urbanisation Résumé : (Auteur) Numerous cities in developing regions worldwide are expanding at a tremendous rate. This requires adequate strategies to address the needs of these growing cities with diverse populations. Nonetheless, the development of urban policies is often hampered by the lack of reliable data or insight in the socio-spatial dynamics of this urban expansion. This paper therefore presents ASSURE, a spatially and temporally explicit model that can simulate urban growth and intra-urban social segregation, taking into account alternative policy strategies and expected social dynamics. The model has a flexible structure that allows incorporating specific city conditions that influence residential decision-making and adapting the simulation to the data available. This, in combination with the transparent model structure, makes ASSURE a potentially valuable decision support tool for urban planning. The potential is demonstrated with an example where the urban growth of and social segregation in Kampala (Uganda) is simulated based on (semi-)quantitative and qualitative data for ca. 800 households collected through interviews. The results of the simulations show that depending on the scenario, the spatial segregation and accessibility problems will evolve highly differently. Numéro de notice : A2016-756 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1177641 En ligne : http://dx.doi.org/10.1080/13658816.2016.1177641 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82421 [article]

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Novel shape indices for vector landscape pattern analysis / C. Zhang in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2442 - 2461 Titre : Novel shape indices for vector landscape pattern analysis Type de document : Article/Communication Auteurs : C. Zhang, Auteur ; Peter M. Atkinson, Auteur Année de publication : 2016 Article en page(s) : pp 2442 - 2461 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de données [Termes IGN] anisotropie [Termes IGN] données vectorielles [Termes IGN] indice de détection [Termes IGN] interprétation automatique [Termes IGN] rectangle englobant minimum [Termes IGN] représentation des données [Termes IGN] traitement automatique de données Résumé : (Auteur) The formation of an anisotropic landscape is influenced by natural and/or human processes, which can then be inferred on the basis of geometric indices. In this study, two minimal bounding rectangles in consideration of the principles of mechanics (i.e. minimal width bounding (MWB) box and moment bounding (MB) box) were introduced. Based on these boxes, four novel shape indices, namely MBLW (the length-to-width ratio of MB box), PAMBA (area ratio between patch and MB box), PPMBP (perimeter ratio between patch and MB box) and ODI (orientation difference index between MB and MWB boxes), were introduced to capture multiple aspects of landscape features including patch elongation, patch compactness, patch roughness and patch symmetry. Landscape pattern was, thus, quantified by considering both patch directionality and patch shape simultaneously, which is especially suitable for anisotropic landscape analysis. The effectiveness of the new indices were tested with real landscape data consisting of three kinds of saline soil patches (i.e. the elongated shaped slightly saline soil class, the circular or half-moon shaped moderately saline soil, and the large and complex severely saline soil patches). The resulting classification was found to be more accurate and robust than that based on traditional shape complexity indices. Numéro de notice : A2016-757 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1179313 En ligne : http://dx.doi.org/10.1080/13658816.2016.1179313 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82422 [article]

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