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Evaluating the effect of visually represented geodata uncertainty on decision-making: systematic review, lessons learned, and recommendations / Christoph Kinkeldey in Cartography and Geographic Information Science, Vol 44 n° 1 (January 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 1 (January 2017) . - pp 1 - 21 Titre : Evaluating the effect of visually represented geodata uncertainty on decision-making: systematic review, lessons learned, and recommendations Type de document : Article/Communication Auteurs : Christoph Kinkeldey, Auteur ; Alan M. MacEachren, Auteur ; Maria Riveiro, Auteur ; Jochen Schiewe, Auteur Année de publication : 2017 Article en page(s) : pp 1 - 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] aide à la décision [Termes IGN] incertitude des données [Termes IGN] information géographique [Termes IGN] visualisation de données [Vedettes matières IGN] Géovisualisation Résumé : (auteur) For many years, uncertainty visualization has been a topic of research in several disparate fields, particularly in geographical visualization (geovisualization), information visualization, and scientific visualization. Multiple techniques have been proposed and implemented to visually depict uncertainty, but their evaluation has received less attention by the research community. In order to understand how uncertainty visualization influences reasoning and decision-making using spatial information in visual displays, this paper presents a comprehensive review of uncertainty visualization assessments from geovisualization and related fields. We systematically analyze characteristics of the studies under review, i.e., number of participants, tasks, evaluation metrics, etc. An extensive summary of findings with respect to the effects measured or the impact of different visualization techniques helps to identify commonalities and differences in the outcome. Based on this summary, we derive “lessons learned” and provide recommendations for carrying out evaluation of uncertainty visualizations. As a basis for systematic evaluation, we present a categorization of research foci related to evaluating the effects of uncertainty visualization on decision-making. By assigning the studies to categories, we identify gaps in the literature and suggest key research questions for the future. This paper is the second of two reviews on uncertainty visualization. It follows the first that covers the communication of uncertainty, to investigate the effects of uncertainty visualization on reasoning and decision-making. Numéro de notice : A2017-098 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1089792 En ligne : http://dx.doi.org/10.1080/15230406.2015.1089792 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84477 [article]

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032-2017011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The location swapping method for geomasking / Su Zhang in Cartography and Geographic Information Science, Vol 44 n° 1 (January 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 1 (January 2017) . - pp 22 - 34 Titre : The location swapping method for geomasking Type de document : Article/Communication Auteurs : Su Zhang, Auteur ; Scott M. Freundschuh, Auteur ; Kate Lenzer, Auteur ; Paul A. Zandbergen, Auteur Année de publication : 2017 Article en page(s) : pp 22 - 34 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] accès aux données localisées [Termes IGN] ArcGIS [Termes IGN] carte à puce [Termes IGN] données médicales [Termes IGN] échange de données informatisé [Termes IGN] géocodage inverse [Termes IGN] masque géographique [Termes IGN] protection de la vie privée Résumé : (auteur) When locations of individual-level health data are released in the form of published maps, the identity of these individuals could be identified through reverse geocoding. Spatial data can, therefore, not be released unless the locations have been modified, for example, using aggregation or geographic masking. Geographic masking techniques apply translation or perturbations to decrease the likelihood of re-identification of individuals through reverse geocoding. The current study proposes a new geographic masking technique referred to as “location swapping.” Location swapping replaces an original location with a masked location selected from all possible locations with similar geographic characteristics within a specified neighborhood. Strengths and weaknesses of location swapping will be discussed relative to existing geographic masking techniques. The approach will be illustrated using several example data sets and a custom toolset developed for ArcGIS to automate the location swapping algorithm. Numéro de notice : A2017-099 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1095655 En ligne : https://doi.org/10.1080/15230406.2015.1095655 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84478 [article]

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Evaluating data stability in aggregation structures across spatial scales: revisiting the modifiable areal unit problem / Jonathan K. Nelson in Cartography and Geographic Information Science, Vol 44 n° 1 (January 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 1 (January 2017) . - pp 35 - 50 Titre : Evaluating data stability in aggregation structures across spatial scales: revisiting the modifiable areal unit problem Type de document : Article/Communication Auteurs : Jonathan K. Nelson, Auteur ; Cynthia A. Brewer, Auteur Année de publication : 2017 Article en page(s) : pp 35 - 50 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse diachronique [Termes IGN] exploration de données géographiques [Termes IGN] maladie non infectieuse [Termes IGN] mise à l'échelle [Termes IGN] Pennsylvanie (Etats-Unis) [Termes IGN] problème d'unité zonale modifiable [Termes IGN] regroupement de données Résumé : (auteur) Socioeconomic and health analysts commonly rely on areally aggregated data, in part because government regulations on confidentiality prohibit data release at the individual level. Analytical results from areally aggregated data, however, are sensitive to the modifiable areal unit problem (MAUP). Levels of aggregation as well as the arbitrary and modifiable sizes, shapes, and arrangements of zones affect the validity and reliability of findings from analyses of areally aggregated data. MAUP, long acknowledged, remains unresolved. We present an exploratory spatial data analytical approach (ESDA) to understand the scalar effects of MAUP. To characterize relationships between data aggregation structures and spatial scales, we develop a method for statistically and visually exploring the local indicators of spatial association (LISA) exhibited between a variable and itself across varying levels of aggregation. We demonstrate our approach by analyzing the across-scale relationships of aggregated 2010 median income for the State of Pennsylvania and 2005–2009 cancer diagnosis rates for the State of New York between county–tract, tract–block group, and county–block group level US census designated enumeration units. This method for understanding the relationship between MAUP and spatial scale provides guidance to researchers in selecting the most appropriate scales to aggregate, analyze, and represent data for problem-specific analyses. Numéro de notice : A2017-100 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1093431 En ligne : https://doi.org/10.1080/15230406.2015.1093431 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84479 [article]

Exemplaires(1)

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032-2017011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An improved map-symbol model to facilitate sharing of heterogeneous qualitative map symbols / Mingguang Wu in Cartography and Geographic Information Science, Vol 44 n° 1 (January 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 1 (January 2017) Titre : An improved map-symbol model to facilitate sharing of heterogeneous qualitative map symbols Type de document : Article/Communication Auteurs : Mingguang Wu, Auteur ; Axing Zhu, Auteur ; Peibei Zheng, Auteur ; et al., Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique [Termes IGN] compatibilité [Termes IGN] partage de données localisées [Termes IGN] rédaction cartographique [Termes IGN] sémiologie graphique [Termes IGN] symbole graphique [Termes IGN] système d'information géographique Résumé : (auteur) Symbol sharing that is facilitated by current technologies is hampered by the incompatibility of current map-symbol models with existing heterogeneous map-symbol resources. After a comparative analysis of the terminology and symbol construction strategies in existing map-symbol models, an improved model is presented to facilitate symbol sharing. The model combines current symbol description methods to enable broad compatibility with heterogeneous mapping/geographic information systems (GISs). Extensional map-symbol construction strategies have also been proposed to support various symbols with different levels of graphic complexity. Topographic, traffic, and OpenStreetMap symbol resources are used to validate the interoperability and compatibility of this model. Its compatibility was validated with a case study of ArcGIS, and its interoperation was validated with a case study of ArcGIS, AutoCAD, and CorelDraw. The results indicate that the map-symbol model is flexible for use with different map-symbol variants and compatible with existing description methods and that it can be used as a common model for sharing heterogeneous map-symbol resources. Numéro de notice : A2017-101 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1102083 En ligne : https://doi.org/10.1080/15230406.2015.1102083 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84480 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2017011	RAB	Revue	Centre de documentation	En réserve L003	Disponible