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Neighborhood greenspace and health in a large urban center / Omid Kardan in Scientific reports, vol 5 (2015)
[article]
Titre : Neighborhood greenspace and health in a large urban center Type de document : Article/Communication Auteurs : Omid Kardan, Auteur ; Peter Gozdyra, Auteur ; Bratislav Misic, Auteur ; et al., Auteur Année de publication : 2015 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] arbre (flore)
[Termes IGN] croisement spatial
[Termes IGN] densité de la végétation
[Termes IGN] espèce végétale
[Termes IGN] milieu urbain
[Termes IGN] santé
[Termes IGN] TorontoRésumé : (auteur) Studies have shown that natural environments can enhance health and here we build upon that work by examining the associations between comprehensive greenspace metrics and health. We focused on a large urban population center (Toronto, Canada) and related the two domains by combining high-resolution satellite imagery and individual tree data from Toronto with questionnaire-based self-reports of general health perception, cardio-metabolic conditions and mental illnesses from the Ontario Health Study. Results from multiple regressions and multivariate canonical correlation analyses suggest that people who live in neighborhoods with a higher density of trees on their streets report significantly higher health perception and significantly less cardio-metabolic conditions (controlling for socio-economic and demographic factors). We find that having 10 more trees in a city block, on average, improves health perception in ways comparable to an increase in annual personal income of $10,000 and moving to a neighborhood with $10,000 higher median income or being 7 years younger. We also find that having 11 more trees in a city block, on average, decreases cardio-metabolic conditions in ways comparable to an increase in annual personal income of $20,000 and moving to a neighborhood with $20,000 higher median income or being 1.4 years younger. Numéro de notice : A2015-499 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1038/srep11610 En ligne : http://www.nature.com/articles/srep11610 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77326
in Scientific reports > vol 5 (2015)[article]Object-based building change detection from a single multispectral image and pre-existing geospatial information / Georgia Doxani in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 6 (June 2015)
[article]
Titre : Object-based building change detection from a single multispectral image and pre-existing geospatial information Type de document : Article/Communication Auteurs : Georgia Doxani, Auteur ; Konstantinos Karantzalos, Auteur ; Maria Tsakiri-Strati, Auteur Année de publication : 2015 Article en page(s) : pp 481 - 489 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse d'image orientée objet
[Termes IGN] analyse de l'existant
[Termes IGN] analyse diachronique
[Termes IGN] base de données localisées
[Termes IGN] bâtiment
[Termes IGN] classification à base de connaissances
[Termes IGN] détection de changement
[Termes IGN] Grèce
[Termes IGN] image isolée
[Termes IGN] image multibande
[Termes IGN] milieu urbainRésumé : (auteur) Multispectral images of very high spatial resolution and vector data from geospatial databases, such as cadastral maps, are among the cost-effective and broadly available geodata in urban environments. Therefore, we aim to address building change detection based on pre-existing building footprint information and a single very high resolution multispectral image. An object-based classification methodology was developed that employs advanced scalespace filtering, unsupervised clustering, and knowledge-based classification. The developed framework effectively integrates prior vector data and multispectral observations, through incorporating the prior knowledge into the training process and defining the proper object-based classification rules. The methodology successfully identified important building changes, which were validated by employing the vector information of a building geodatabase and a QuickBird image acquired in 2003 and 2007, respectively, over urban regions in the city of Thessaloniki, Greece. The performed quantitative and qualitative evaluation indicated that the proposed analysis framework can detect the new buildings with high accuracy rates and, to a lesser degree, their exact shape and size. Numéro de notice : A2015-978 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.6.481 En ligne : https://doi.org/10.14358/PERS.81.6.481 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80061
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 6 (June 2015) . - pp 481 - 489[article]Crowdsourcing urban form and function / Andrew Crooks in International journal of geographical information science IJGIS, vol 29 n° 5 (May 2015)
[article]
Titre : Crowdsourcing urban form and function Type de document : Article/Communication Auteurs : Andrew Crooks, Auteur ; Dieter Pfoser, Auteur ; Andrew Jenkins, Auteur Année de publication : 2015 Article en page(s) : pp 720 - 741 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de données
[Termes IGN] données localisées des bénévoles
[Termes IGN] données ouvertes
[Termes IGN] milieu urbain
[Termes IGN] modélisation spatiale
[Termes IGN] morphologie urbaine
[Termes IGN] OpenStreetMap
[Termes IGN] surveillance de l'urbanisation
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Urban form and function have been studied extensively in urban planning and geographical information science. However, gaining a greater understanding of how they merge to define the urban morphology remains a substantial scientific challenge. Toward this goal, this paper addresses the opportunities presented by the emergence of crowdsourced data to gain novel insights into form and function in urban spaces. We are focusing in particular on information harvested from social media and other open-source and volunteered datasets (e.g. trajectory and OpenStreetMap data). These data provide a first-hand account of form and function from the people who define urban space through their activities. This novel bottom-up approach to study these concepts complements traditional urban studies to provide a new lens for studying urban activity. By synthesizing recent advancements in the analysis of open-source data, we provide a new typology for characterizing the role of crowdsourcing in the study of urban morphology. We illustrate this new perspective by showing how social media, trajectory, and traffic data can be analyzed to capture the evolving nature of a city’s form and function. While these crowd contributions may be explicit or implicit in nature, they are giving rise to an emerging research agenda for monitoring, analyzing, and modeling form and function for urban design and analysis. Numéro de notice : A2015-592 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.977905 En ligne : https://doi.org/10.1080/13658816.2014.977905 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77881
in International journal of geographical information science IJGIS > vol 29 n° 5 (May 2015) . - pp 720 - 741[article]A GIS toolbox for measuring and mapping person-based space-time accessibility / Laure Charleux in Transactions in GIS, vol 19 n° 2 (April 2015)
[article]
Titre : A GIS toolbox for measuring and mapping person-based space-time accessibility Type de document : Article/Communication Auteurs : Laure Charleux, Auteur Année de publication : 2015 Article en page(s) : pp 262 – 278 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] accessibilité
[Termes IGN] indicateur
[Termes IGN] interaction humain-espace
[Termes IGN] milieu urbain
[Termes IGN] outil informatique
[Termes IGN] planification urbaine
[Termes IGN] système d'information géographique
[Termes IGN] Time-geographyRésumé : (auteur) This article presents a toolbox to compute and map person-based accessibility indicators, based on classical time geography concepts. The intent is to provide GIS and urban planning practitioners with a user-friendly and easily customizable tool. While it relies on well-known concepts, the toolbox implements a major innovation in person-based accessibility assessment by taking into account opening hours when measuring the accessibility of urban facilities. The toolbox can be downloaded from http://bit.ly/1h6yg5Z. Numéro de notice : A2015-677 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12115 En ligne : http://dx.doi.org/10.1111/tgis.12115 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78303
in Transactions in GIS > vol 19 n° 2 (April 2015) . - pp 262 – 278[article]Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study / Hossein Shafizadeh-Moghadam in International journal of geographical information science IJGIS, vol 29 n° 4 (April 2015)
[article]
Titre : Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study Type de document : Article/Communication Auteurs : Hossein Shafizadeh-Moghadam, Auteur ; Julian Hagenauer, Auteur ; Manuchehr Farajzadeh, Auteur ; Marco Helbich, Auteur Année de publication : 2015 Article en page(s) : pp 606 - 623 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] apprentissage automatique
[Termes IGN] Bombay
[Termes IGN] croissance urbaine
[Termes IGN] fonction de base radiale
[Termes IGN] milieu urbain
[Termes IGN] modèle de simulation
[Termes IGN] Perceptron multicouche
[Termes IGN] performance
[Termes IGN] test de performance
[Termes IGN] urbanisationRésumé : (Auteur) The majority of cities are rapidly growing. This makes the monitoring and modeling of urban change’s spatial patterns critical to urban planners, decision makers, and environment protection activists. Although a wide range of methods exists for modeling and simulating urban growth, machine learning (ML) techniques have received less attention despite their potential for producing highly accurate predictions of future urban extents. The aim of this study is to investigate two ML techniques, namely radial basis function network (RBFN) and multi-layer perceptron (MLP) networks, for modeling urban change. By predicting urban change for 2010, the models’ performance is evaluated by comparing results with a reference map and by using a set of pertinent statistical measures, such as average spatial distance deviation and figure of merit. The application of these techniques employs the case study area of Mumbai, India. The results show that both models, which were tested using the same explanatory variables, produced promising results in terms of predicting the size and extent of future urban areas. Although a close match between RBFN and MLP is observed, RBFN demonstrates higher spatial accuracy of prediction. Accordingly, RBFN was utilized to simulate urban change for 2020 and 2030. Overall, the study provides evidence that RBFN is a robust and efficient ML technique and can therefore be recommended for land use change modeling. Numéro de notice : A2015-589 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.993989 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.993989 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77875
in International journal of geographical information science IJGIS > vol 29 n° 4 (April 2015) . - pp 606 - 623[article]Characterization of neighborhood sensitivity of an irregular cellular automata model of urban growth / Khila R. Dahal in International journal of geographical information science IJGIS, vol 29 n° 3 (March 2015)PermalinkÉtude comparée de quatre indicateurs qualifiant le champ visuel d’un piéton en milieu urbain / Thomas Leduc in Revue internationale de géomatique, vol 25 n° 1 (mars - mai 2015)PermalinkVisual overlay on OpenStreetMap data to support spatial exploration of urban environments / Chandan Kumar in ISPRS International journal of geo-information, vol 4 n°1 (March 2015)PermalinkCoregistration refinement of hyperspectral images and DSM: An object-based approach using spectral information / Janja Avbelj in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)PermalinkAlgorithms for vision-based path following along previously taught paths / Deon George Sabatta (2015)PermalinkData-driven feature learning for high resolution urban land-cover classification / Piotr Andrzej Tokarczyk (2015)PermalinkObserver et prévenir / Françoise de Blomac in DécryptaGéo le mag, n° 163 (janvier 2015)PermalinkQuels usages effectifs de l’information géographique volontaire pour la production et la gestion des services urbains ? Application au secteur de l’eau et de l’assainissement dans les villes d’Afrique Subsaharienne / Cécile Remy (2015)PermalinkSpatiotemporally characterizing urban temperatures based on remote sensing and GIS analysis: a case study in the city of Saskatoon (SK, Canada) / Li Shen in Open geosciences, vol 7 n° 1 (January 2015)PermalinkFrom raw data to meaningful information: A representational approach to cadastral databases in relation to urban planning / Francecs Valls-Dalmau in Future internet, vol 6 n° 4 (December 2014)Permalink