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Burgon's expectation : ancient and new cartographic visualization for numismatic data and coin finds / A. Favretto in Cartographica, vol 52 n° 2 (Summer 2017)  

Public [article]  inCartographica > vol 52 n° 2 (Summer 2017) . - pp 153 - 167 Titre : Burgon's expectation : ancient and new cartographic visualization for numismatic data and coin finds Type de document : Article/Communication Auteurs : A. Favretto, Auteur ; Bruno Callegher, Auteur Année de publication : 2017 Article en page(s) : pp 153 - 167 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] archéologie [Termes IGN] base de données localisées [Termes IGN] cartographie par internet [Termes IGN] géolocalisation [Termes IGN] Italie [Termes IGN] Leaflet [Termes IGN] logiciel libre [Termes IGN] PostgreSQL [Termes IGN] QGIS [Termes IGN] visualisation cartographique [Termes IGN] web mapping Résumé : (Auteur) Using Callegher's catalogue of ancient coin finds in the Trieste Province of NE Italy from the Ritrovamenti monetali di età romana nel Friuli Venezia Giulia, a spatial database of the findings (third century bce to sixth century ce) was created. The authors later developed a client side Web mapping application. All Free and Open Source Software tools were used to build both a spatial database (postgreSQL and PostGIS) and a Web mapping application (QGIS and Leaflet). The Web mapping application allows the user to find the territorial distribution of Celtic, Roman (Republican and Imperial), Byzantine, and Longobard coins. Each coin was georeferenced and linked to the denomination of the ancient coin, the authority that issued it, the coin mint, and the finding site. This project highlights not only the efficiency of the database methodology in managing numismatic data, but also the great potential of the geographic visualization process to reveal hidden relationships between the finding sites and the data connected with the ancient use of coins (e.g., ancient monetary areas, economic and commercial buffer zones, trade routes) Numéro de notice : A2017-373 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.52.2.3781 En ligne : https://doi.org/10.3138/cart.52.2.3781 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85798 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2017021	SL	Revue	Centre de documentation	Revues en salle	Disponible

La cartographie Galigéo intégrée à l'offre de service décisionnelle ministérielle / Guillaume Payet in Signature, n° 63 (juin 2017) 

Public [article]  inSignature > n° 63 (juin 2017) . - pp 9 - 11 Titre : La cartographie Galigéo intégrée à l'offre de service décisionnelle ministérielle Type de document : Article/Communication Auteurs : Guillaume Payet, Auteur Année de publication : 2017 Article en page(s) : pp 9 - 11 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cartographie numérique [Termes IGN] cartographie statistique [Termes IGN] cartographie thématique [Termes IGN] données localisées [Termes IGN] outil d'aide à la décision [Termes IGN] outil logiciel Numéro de notice : A2017-233 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85151 [article]

Documents numériques

en open access La cartographie Galigéo Adobe Acrobat PDF

Smart cartographic functionality for improving data visualization in map mashups / Nadia H. Panchaud in Cartographica, vol 52 n° 2 (Summer 2017)  

Public [article]  inCartographica > vol 52 n° 2 (Summer 2017) . - pp 194 - 211 Titre : Smart cartographic functionality for improving data visualization in map mashups Type de document : Article/Communication Auteurs : Nadia H. Panchaud, Auteur ; Ionuţ Iosifescu Enescu, Auteur ; Lorenz Hurni, Auteur Année de publication : 2017 Article en page(s) : pp 194 - 211 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique [Termes IGN] activité cartographique [Termes IGN] aide à la conception informatique [Termes IGN] application composite [Termes IGN] cartographie par internet [Termes IGN] données multisources [Termes IGN] fonctionnalité [Termes IGN] géoportail [Termes IGN] rendu (géovisualisation) [Termes IGN] sémiologie graphique [Termes IGN] utilisateur Résumé : (Auteur) Thanks to the growth of geoportal products and online cartographic platforms, access to spatial data has never been so easy for so many people. But access to cartographic knowledge for laypersons using such data is lagging behind. Platforms that allow users to create map mashups from diverse data sources can lead to unsatisfactory cartographic visualization, which reduces the map's legibility and the usefulness of such functions. This article's focus is on creating a framework that supports smart cartographic functions to improve the quality of map mashups. First, we assess the state of cartographic conflicts due to map mashup, using examples from existing geoportals. Afterwards, we describe a framework that allows us to define cartographic functions, focusing on symbology changes and based on a client-side approach. We do not aim to fully model the complex decision-making process of a professional cartographer, but rather to provide a set of smart functions that use appropriate assumptions and constraints based on cartographic principles and semantic information. As proof of concept, the framework and functions are then integrated within a geoportal. Numéro de notice : A2017-376 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.52.2.4115 En ligne : https://doi.org/10.3138/cart.52.2.4115 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85801 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2017021	SL	Revue	Centre de documentation	Revues en salle	Disponible

Distributed processing of big mobility data as spatio-temporal data streams / Zdravko Galić in Geoinformatica, vol 21 n° 2 (April - June 2017)  

Public [article]  inGeoinformatica > vol 21 n° 2 (April - June 2017) . - pp 263 - 291 Titre : Distributed processing of big mobility data as spatio-temporal data streams Type de document : Article/Communication Auteurs : Zdravko Galić, Auteur ; Emir Mešković, Auteur ; Dario Osmanović, Auteur Année de publication : 2017 Article en page(s) : pp 263 - 291 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] données massives [Termes IGN] données spatiotemporelles [Termes IGN] environnement de développement [Termes IGN] flux de données [Termes IGN] mobilité territoriale [Termes IGN] mobilité urbaine [Termes IGN] objet mobile [Termes IGN] prototype [Termes IGN] temps réel [Termes IGN] traitement réparti Résumé : (Auteur) Recent rapid development of wireless communication, mobile computing, global navigation satellite systems (GNSS), and spatially enabled sensors are leading to an exponential growth of available mobility data produced continuously at high speed. Due to these advancements, a new class of monitoring applications has come to the focus, including real-time intelligent transportation systems, traffic monitoring and mobile objects tracking. These new information flow processing (IFP) application domains need to process huge volume of mobility data arriving in the form of continuous data streams from mobile objects. IFP applications are pushing traditional database technologies beyond their limits due to their massively increasing data volumes and demands for real-time processing. Mobility data, i.e. real-time, transient, time-varying sequences of spatio-temporal data items, generated by embedded positioning sensors demonstrates at least two Big Data core features: volume and velocity. Existing distributed data stream management systems (DSMS), real-time computing systems (RTCS) and their processing models are dominantly based on relational paradigm and continuous operator model. Thus, they have rudimentary spatio-temporal capabilities, provide expensive fault recovery requiring either hot replication or long recovery times, and do not handle faults and slow nodes. The framework proposed in this paper is a cornerstone towards efficient real-time managing and monitoring of mobile objects through distributed spatio-temporal streams processing on large clusters. A prototype implementation is rooted in a new stream processing model that overcomes the challenges of current distributed stream processing models and enable seamless integration with batch and interactive processing like MapReduce. Numéro de notice : A2017-069 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0264-z En ligne : http://dx.doi.org/10.1007/s10707-016-0264-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84300 [article]

Panda∗: A generic and scalable framework for predictive spatio-temporal queries / Abdeltawab M. Hendawi in Geoinformatica, vol 21 n° 2 (April - June 2017)  

Public [article]  inGeoinformatica > vol 21 n° 2 (April - June 2017) . - pp 175 - 208 Titre : Panda∗: A generic and scalable framework for predictive spatio-temporal queries Type de document : Article/Communication Auteurs : Abdeltawab M. Hendawi, Auteur ; Mohamed Ali, Auteur ; Mohamed F. Mokbel, Auteur Année de publication : 2017 Article en page(s) : pp 175 - 208 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] environnement de développement [Termes IGN] espace euclidien [Termes IGN] gestion de trafic [Termes IGN] objet mobile [Termes IGN] plus proche voisin, algorithme du [Termes IGN] prédiction [Termes IGN] requête spatiotemporelle Résumé : (Auteur) Predictive spatio-temporal queries are crucial in many applications. Traffic management is an example application, where predictive spatial queries are issued to anticipate jammed areas in advance. Also, location-aware advertising is another example application that targets customers expected to be in the vicinity of a shopping mall in the near future. In this paper, we introduce Panda∗, a generic framework for supporting spatial predictive queries over moving objects in Euclidean spaces. Panda∗ distinguishes itself from previous work in spatial predictive query processing by the following features: (1) Panda∗ is generic in terms of supporting commonly-used types of queries, (e.g., predictive range, KNN, aggregate queries) over stationary points of interests as well as moving objects. (2) Panda∗ employees a prediction function that provides accurate prediction even under the absence or the scarcity of the objects’ historical trajectories. (3) Panda∗ is customizable in the sense that it isolates the prediction calculation from query processing. Hence, it enables the injection and integration of user defined prediction functions within its query processing framework. (4) Panda∗ deals with uncertainties and variabilities in the expected travel time from source to destination in response to incomplete information and/or dynamic changes in the underlying Euclidean space. (5) Panda∗ provides a controllable parameter that trades low latency responses for computational resources. Experimental analysis proves the scalability of Panda∗ in evaluating a massive volume of predictive queries over large numbers of moving objects. Numéro de notice : A2017-068 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0284-8 En ligne : http://dx.doi.org/10.1007/s10707-016-0284-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84295 [article]

L’API Istex : le sésame pour accéder aux ressources acquises / Claire Niederlender in Arabesques, n° 84 (février - mars 2017) 

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L’API Carto / Clément Jaquemet in Signature, n° 62 (janvier 2017) 

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Automatisation de l’acquisition et du traitement des images Sentinel-2 pour le calcul d’indices de végétation aidant à la prévention des pics de paludisme à Madagascar / Charlotte Wolff (2017)

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Cross-domain image localization by adaptive feature fusion / Neelanjan Bhowmik (2017)  

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Etude et méthodes d'intégration et d'interaction de données 3D complexes type "nuages de points" vers un web SIG / Victor Lambert (2017) 

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Geovisualization of the impact of ship traffic on marine mammals / Nolwenn Le Poulain (2017) 

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Etalab booste la géo / Françoise de Blomac in DécryptaGéo le mag, n° 180 (octobre 2016)

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SPAWNN: A toolkit for SPatial Analysis With Self-Organizing Neural Networks / Julian Hagenauer in Transactions in GIS, vol 20 n° 5 (October 2016)  

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A bootstrap test for constant coefficients in geographically weighted regression models / Chang-Lin Mei in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)  

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iTowns, framework web pour la donnée géographique 3D / Vincent Picavet in XYZ, n° 147 (juin - août 2016)    

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Qualitative GIS: An Open Framework Using SpatiaLite and Open Source GIS / Ryan Garnett in Transactions in GIS, vol 20 n° 1 (February 2016)  

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A domain specific language for spatial simulation scenarios / Luís Moreira de Sousa in Geoinformatica, vol 20 n° 1 (January - March 2016)  

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La géomatique apporte son grain de sable à la réalité augmentée / Loïc Messal (2016) 

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Geovisualisation of animated tides in coastal area with an OpenSource OpenGL platform / Antoine Masse (2016) 

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Réalisation d'une photothèque de crues / Loïc Mathis (2016) 

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Segmenter pour mieux classifier des nuages de points / Stéphane Guinard (2016) 

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The iQmulus urban showcase: automatic tree classification and identification in huge mobile mapping point clouds / Jan Böhm (2016)    

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UAV based landscape evolution in dangerous mining environments / Charlotte Wolff (2016) 

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Development of a software tool as an introduction to Geospatial Information Technology based on geospatial standards / Morishige Ota in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)  

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Plan oblique relief for web maps / Bernhard Jenny in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)  

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